CN113937765A - AC/DC hybrid microgrid scheduling method and device and microgrid control equipment - Google Patents

AC/DC hybrid microgrid scheduling method and device and microgrid control equipment Download PDF

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CN113937765A
CN113937765A CN202111219704.4A CN202111219704A CN113937765A CN 113937765 A CN113937765 A CN 113937765A CN 202111219704 A CN202111219704 A CN 202111219704A CN 113937765 A CN113937765 A CN 113937765A
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谢毓广
高博
李金中
周扬
郑天文
计长安
徐斌
马伟
潘磊
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Leadzone Smart Grid Technology Co ltd
Electric Power Research Institute of State Grid Anhui Electric Power Co Ltd
Sichuan Energy Internet Research Institute EIRI Tsinghua University
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Electric Power Research Institute of State Grid Anhui Electric Power Co Ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
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Abstract

The application provides an alternating current-direct current hybrid microgrid scheduling method and device and microgrid control equipment, and relates to the technical field of power grid control. According to the method, when the interaction state between the current day and the external large power grid of the alternating current-direct current hybrid micro-power grid and the current day operation maintenance unit price of the hybrid micro-power grid in the interaction state are obtained, a target cost operation function matched with the interaction state is searched in a plurality of prestored micro-grid operation cost operation functions related to current conversion operation and maintenance costs and power supply operation and maintenance costs, the micro-grid operation cost corresponding to the minimized target cost operation function is taken as a micro-grid scheduling purpose based on the current day operation maintenance unit price, an operation scheduling strategy meeting micro-grid operation constraint conditions is obtained by solving for the hybrid micro-power grid, the converter operation and maintenance losses are considered in the energy scheduling optimization process of the hybrid micro-power grid from the aspect of economic operation, and the hybrid micro-power grid is low in economic loss and good in operation effect under the effect of the optimized scheduling strategy.

Description

AC/DC hybrid microgrid scheduling method and device and microgrid control equipment
Technical Field
The application relates to the technical field of power grid control, in particular to an alternating current-direct current hybrid microgrid scheduling method and device and microgrid control equipment.
Background
With the continuous development of power networks, the alternating current-direct current hybrid microgrid having the advantages of the alternating current microgrid and the direct current microgrid is also effectively applied step by step. For an ac/dc hybrid microgrid, a plurality of Interconnected Converters (ICs) are usually installed in parallel between an ac sub-network and a dc sub-network to form a complete ring-shaped hybrid microgrid, and power bidirectional flow compensation between the ac/dc sub-networks is realized by the plurality of interconnected converters. Therefore, the converter is also a ring worth paying attention to in the energy scheduling optimization process of the alternating current-direct current hybrid micro-grid.
Disclosure of Invention
In view of the above, an object of the present application is to provide an ac/dc hybrid microgrid scheduling method, an ac/dc hybrid microgrid scheduling device, and a microgrid control device, which can consider operation and maintenance losses of a converter in an energy scheduling optimization process of an ac/dc hybrid microgrid from the perspective of economic operation, so that the ac/dc hybrid microgrid has the characteristics of low economic loss and good operation effect when operating according to an optimized scheduling strategy.
In order to achieve the above purpose, the embodiments of the present application employ the following technical solutions:
in a first aspect, the present application provides an ac/dc hybrid microgrid scheduling method, including:
acquiring an interaction state between an alternating current-direct current hybrid micro-grid and an external large power grid on the same day and a current-day operation maintenance unit price of the alternating current-direct current hybrid micro-grid matched with the interaction state;
searching a target cost operation function matched with the interaction state in a plurality of prestored microgrid operation cost operation functions, wherein the microgrid operation cost operation function is used for calculating a microgrid operation cost which corresponds to the alternating current-direct current hybrid microgrid and comprises a current conversion operation and maintenance cost and a power supply operation and maintenance cost;
and solving for the alternating current-direct current hybrid micro-grid to obtain an operation scheduling strategy meeting micro-grid operation constraint conditions by taking the minimum micro-grid operation cost corresponding to the target cost operation function as a micro-grid scheduling objective on the basis of the current-day operation maintenance unit price.
In an optional embodiment, the current-day operation and maintenance unit price includes a microgrid power supply and maintenance unit price of each microgrid in the alternating current-direct current hybrid microgrid at different time periods in the current day, the microgrid includes a wind power device, a photovoltaic device and an energy storage device, and a calculation formula of the power supply operation and maintenance cost in the microgrid operation cost operation function is as follows:
Figure BDA0003312103050000021
wherein, CHmgThe system is used for representing the power supply operation and maintenance cost of the alternating current-direct current hybrid micro-grid on the same day, N is used for representing the total number of micro-power sources of the alternating current-direct current hybrid micro-grid, T is used for representing the total number of time periods on the same day, and k isn(t) the microgrid power supply maintenance unit price P used for expressing the nth microgrid power supply in the tth time period of the dayn(t) is used to represent the electrical output power of the nth micro power source at the tth time period of the day.
In an optional embodiment, the current-day operation and maintenance unit price includes a current-converting operation and maintenance unit price and a current-converting loss unit price of each converter in the ac-dc hybrid microgrid at different time periods of the current day, and a calculation formula of the current-converting operation and maintenance cost in the microgrid operation cost calculation function is as follows:
Figure BDA0003312103050000022
wherein, CConUsed for representing the current conversion operation and maintenance cost of the AC/DC hybrid micro-grid on the same day, CConvFor representing the current-converting operation cost of the AC/DC hybrid micro-grid on the same day, CCon-LossThe current conversion loss cost of the AC/DC hybrid micro-grid on the same day is represented, M is used for representing the total number of converters of the AC/DC hybrid micro-grid, T is used for representing the total number of time periods on the same day, and lambda ism(t) is used for representing the converting operation maintenance unit price, eta, of the mth converter in the tth time period of the dayCon-mFor indicating the conversion efficiency, P, of the m-th converterCon-m(t) is used for indicating the converted transmission power of the mth converter in the tth time period of the day,
Figure BDA0003312103050000031
for indicating that the mth converter is on the current day tthUnit cost of conversion loss, P, for each periodCon-Loss-m(t) is used for representing the transmission loss power of the mth converter in the tth period of the day.
In an optional embodiment, if the interaction state is an off-grid state, the microgrid operation cost further includes a load shedding compensation cost, at this time, the current day operation and maintenance unit price at least includes load shedding compensation unit prices of the ac-dc hybrid microgrid at different time periods on the current day, and a calculation formula of the load shedding compensation cost in the target cost operation function is as follows:
Figure BDA0003312103050000032
wherein, CLoad-LossFor representing the unloading compensation cost of the AC/DC hybrid micro-grid in the current day, T for representing the total number of time periods in the current day, L (T) for representing the load unloading compensation unit price of the AC/DC hybrid micro-grid in the T time period in the current day, PLoad-Loss(t) is used for representing the load unloading power of the alternating current-direct current hybrid micro-grid in the tth time period of the day.
In an optional embodiment, if the interaction state is a grid-connected state, the microgrid operation cost further includes a power grid interaction cost, at this time, the daily operation and maintenance unit price at least includes a power grid interaction electricity purchasing unit price of the ac/dc hybrid microgrid for the external large power grid at different time periods on the day, and a calculation formula of the power grid interaction cost in the target cost operation function is as follows:
Figure BDA0003312103050000033
wherein, CLoad-LossFor representing the grid interaction cost of the AC/DC hybrid micro-grid on the day, T for representing the total number of time periods on the day, Eprice(t) is used for representing the power grid interactive electricity purchasing unit price, P, of the alternating current-direct current hybrid micro-grid when electricity is purchased from the external large power grid in the tth period of the dayGrid(t) use forAnd representing the power grid interaction power purchased by the AC/DC hybrid micro-grid from the external large power grid at the t-th time period of the day.
In an optional embodiment, the microgrid operation constraint condition includes a microgrid energy storage constraint condition, a microgrid power supply constraint condition, an alternating current subnet constraint condition, a direct current subnet constraint condition and an interaction power constraint condition;
the interactive power constraint condition is used for limiting the upper and lower limit values of the power grid interactive power of the alternating-current and direct-current hybrid micro-grid in different time periods of the day;
the micro-grid power supply constraint condition is used for limiting the upper and lower limit values of the power output power of each micro-power supply in the alternating-current and direct-current hybrid micro-grid at different time intervals of the day and the upper and lower limit values of the power output power change of the corresponding micro-power supply at adjacent time intervals;
the micro-grid energy storage constraint condition is used for limiting the upper and lower limit values of charge and discharge power and the upper and lower limit values of the state of charge of each energy storage device in the alternating current-direct current hybrid micro-grid at different time intervals;
the expression of the AC subnet constraints is as follows:
Figure BDA0003312103050000041
the expression of the dc subnet constraint is as follows:
Figure BDA0003312103050000042
in the above expression, M is used to represent the total number of converters of the ac/dc hybrid microgrid, PCon-m(t) is used for indicating the variable transmission power P of the mth converter in the tth time period of the dayES-ac(t) is used for representing the electric power output power P of the energy storage equipment under the alternating current sub-network of the alternating current-direct current hybrid micro-grid in the tth time period of the dayWT-ac(t) is used for indicating that the wind power equipment under the alternating current sub-network of the alternating current and direct current hybrid micro-grid is on the same dayElectric power output power, P, of the t-th periodLoad-ac(t) electric load power P used for representing the t time period of the AC sub-network of the AC-DC hybrid micro-grid on the current dayGrid(t) is used for representing the power grid interaction power, P, acquired by the AC-DC hybrid micro-grid from the external large power grid in the tth period of the dayLoad-dc(t) electric load power P used for expressing the t time period of the direct current sub-network of the alternating current and direct current hybrid micro-grid on the current dayES-dc(t) is used for representing the electric power output power P of the energy storage equipment under the direct current sub-network of the alternating current-direct current hybrid micro-grid in the tth time period of the dayWT-dc(t) is used for representing the electric power output power P of the wind power equipment in the t time period of the day under the direct current sub-network of the alternating current-direct current hybrid micro-gridPV(t) is used for representing the electric power output power of the photovoltaic equipment under the direct current sub-network of the alternating current and direct current hybrid micro-grid in the tth time period of the day.
In an alternative embodiment, the method further comprises:
and controlling the alternating current-direct current hybrid micro-grid to carry out power dispatching operation according to the operation dispatching strategy.
In a second aspect, the present application provides an ac/dc hybrid microgrid scheduling apparatus, the apparatus includes:
the microgrid condition acquisition module is used for acquiring the interaction state between the current day of the alternating current-direct current hybrid microgrid and the external large power grid and the current day operation maintenance unit price of the alternating current-direct current hybrid microgrid matched with the interaction state;
the cost function query module is used for searching a target cost operation function matched with the interaction state in a plurality of prestored microgrid operation cost operation functions, wherein the microgrid operation cost operation function is used for calculating a microgrid operation cost which corresponds to the alternating current-direct current hybrid microgrid and comprises a variable current operation and maintenance cost and a power supply operation and maintenance cost;
and the scheduling strategy solving module is used for solving aiming at the alternating current-direct current hybrid micro-grid to obtain an operation scheduling strategy meeting micro-grid operation constraint conditions by taking the micro-grid operation cost corresponding to the minimized target cost operation function as a micro-grid scheduling objective on the basis of the current day operation maintenance unit price.
In an alternative embodiment, the apparatus further comprises:
and the microgrid operation control module is used for controlling the alternating current-direct current hybrid microgrid to carry out power scheduling operation according to the operation scheduling strategy.
In a third aspect, the present application provides a microgrid control apparatus, including a processor and a memory, where the memory stores a computer program executable by the processor, and the processor may execute the computer program to implement the ac/dc hybrid microgrid scheduling method according to any one of the foregoing embodiments.
In this case, the beneficial effects of the embodiments of the present application include the following:
when the interactive state between the alternating current-direct current hybrid micro-grid and the external large power grid is obtained on the same day, and under the condition that the AC/DC hybrid micro-grid operates and maintains unit price on the same day in the corresponding interactive state, searching a target cost operation function matched with the interactive state from a plurality of pre-stored micro-grid operation cost operation functions related to the variable current operation and maintenance cost and the power supply operation and maintenance cost, and based on the current day operation maintenance unit price, the microgrid operation cost corresponding to the minimum target cost operation function is taken as the microgrid scheduling purpose, the operation scheduling strategy meeting the microgrid operation constraint condition is obtained by solving aiming at the alternating current-direct current hybrid microgrid, therefore, the operation and maintenance loss of the converter is considered in the energy scheduling optimization process of the alternating current-direct current hybrid micro-grid from the economic operation point of view, the alternating current-direct current hybrid micro-grid has the characteristics of low economic loss and good operation effect when operating according to an optimized scheduling strategy.
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
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In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
Fig. 1 is a schematic composition diagram of a microgrid control device according to an embodiment of the present application;
fig. 2 is a schematic network interaction diagram of a microgrid control device, an alternating-current/direct-current hybrid microgrid and an external large power grid provided in an embodiment of the present application;
fig. 3 is one of the flow diagrams of the ac/dc hybrid microgrid scheduling method according to the embodiment of the present application;
fig. 4 is a second flowchart of a method for scheduling an ac/dc hybrid microgrid according to an embodiment of the present application;
fig. 5 is one of schematic composition diagrams of an ac/dc hybrid microgrid scheduling apparatus according to an embodiment of the present application;
fig. 6 is a second schematic composition diagram of an ac/dc hybrid microgrid scheduling apparatus according to an embodiment of the present application.
Icon: 10-a microgrid control device; 11-a memory; 12-a processor; 13-a communication unit; 100-an alternating current and direct current hybrid microgrid scheduling device; 20-an alternating current and direct current hybrid micro-grid; 21-a dc sub-network; 22-exchange subnets; 23-a current transformer; 30-external large power grid; 110-a microgrid condition acquisition module; 120-cost function query module; 130-scheduling policy solving module; 140-microgrid operation control module.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
In the description of the present application, it is to be understood that relational terms such as the terms first and second, and the like, are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element. The specific meaning of the above terms in the present application can be understood in a specific case by those of ordinary skill in the art.
Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The embodiments described below and the features of the embodiments can be combined with each other without conflict.
Referring to fig. 1 and fig. 2 in combination, fig. 1 is a schematic diagram of network interaction among a microgrid control device 10, an ac/dc hybrid microgrid 20 and an external large power grid 30 provided in an embodiment of the present application, and fig. 2 is a schematic diagram of a composition of the microgrid control device 10 provided in the embodiment of the present application. In the embodiment of the present application, the ac/dc hybrid micro-grid 20 may be connected to the external large grid 30 via a circuit breaker, and interact with the external large grid 30 via the circuit breaker, so that when the circuit breaker is closed, the ac/dc hybrid micro-grid 20 and the external large grid 30 run in parallel, the ac/dc hybrid micro-grid 20 is bought or sold from the external large grid 30, and when the circuit breaker is opened, the ac/dc hybrid micro-grid 20 and the external large grid 30 run in an isolated manner, respectively, so that the ac/dc hybrid micro-grid 20 alone supplies power to its own power load.
The ac/dc hybrid microgrid 20 may include a dc sub-network 21, an ac sub-network 22, and a plurality of converters 23 (for example, ICs in fig. 1) installed between the dc sub-network 21 and the ac sub-network 221、IC2And IC3). The dc sub-network 21 may be constructed by a plurality of dc-side micro power sources (e.g., at least one photovoltaic device and at least one energy storage device) and is interconnected with at least one dc electrical device to form an electrical Load (e.g., Load-dc in fig. 1) at the dc sub-network 21 through the at least one dc electrical device. The ac sub-network 22 may be constructed by a plurality of ac-side micro power sources (including at least one ac wind power device and at least one energy storage device) and is interconnected with at least one ac consumer to form an electrical Load (such as Load-ac in fig. 1) at the dc sub-network 21 through the at least one ac consumer. In an implementation manner of this embodiment, the plurality of dc-side micro power sources includes at least one dc wind power device.
In this embodiment, the microgrid control device 10 is electrically/communicatively connected to the ac/dc hybrid microgrid 20 to control the operating states of the power devices included in the ac/dc hybrid microgrid 20, so as to implement energy scheduling operation with low economic loss and good operation effect on the ac/dc hybrid microgrid 20. The microgrid control device 10 may be, but is not limited to, a tablet computer, a personal computer, a server, and the like.
The microgrid control device 10 may include a memory 11, a processor 12, a communication unit 13, and an ac/dc hybrid microgrid scheduling apparatus 100. The various elements of the memory 11, the processor 12 and the communication unit 13 are electrically connected to each other directly or indirectly to realize data transmission or interaction. For example, the memory 11, the processor 12 and the communication unit 13 may be electrically connected to each other through one or more communication buses or signal lines.
In this embodiment, the Memory 11 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like. The memory 11 is used for storing a computer program, and the processor 12 can execute the computer program after receiving an execution instruction.
In this embodiment, the memory 11 is further configured to store a plurality of different microgrid operation cost operation functions related to an alternating current operation and maintenance cost and a power supply operation and maintenance cost, where each microgrid operation cost operation function corresponds to an interaction state between the ac/dc hybrid microgrid 20 and the external large power grid 30, the microgrid operation cost operation function is configured to calculate a microgrid operation cost corresponding to the ac/dc hybrid microgrid 20, where the microgrid operation cost operation function includes the alternating current operation and maintenance cost and the power supply operation and maintenance cost, and the microgrid operation cost is used to represent a total loss cost existing when the ac/dc hybrid microgrid 20 supplies power to the connected electric devices in the corresponding interaction state. The interaction state between the alternating current-direct current hybrid micro-grid 20 and the external large grid 30 includes an off-grid state and a grid-connected state, the off-grid state is used for indicating that the alternating current-direct current hybrid micro-grid 20 needs to operate in an isolated island mode, and the grid-connected state is used for indicating that the alternating current-direct current hybrid micro-grid 20 and the external large grid 30 need to operate in a grid-connected mode.
The operation and maintenance cost of current conversion corresponds to a plurality of converters 23 in the ac/dc hybrid microgrid 20, the operation and maintenance cost of power supply corresponds to a plurality of micro power supplies in the ac/dc hybrid microgrid 20, and the operation and maintenance cost of power supply corresponds to a plurality of micro power supplies in the ac/dc hybrid microgrid 20. The operation and maintenance cost of the converter is used for representing the sum of loss expenses caused by the operation and maintenance of all the converters 23 of the alternating current-direct current hybrid microgrid 20 in the power transmission process, namely the operation and maintenance loss of the converter. The power supply operation and maintenance cost is used for representing the sum of loss expenses caused by the operation and maintenance of all micro power supplies of the alternating current-direct current hybrid micro power grid 20 in the process of supplying power to the load.
In this embodiment, the memory 11 is further configured to store a microgrid operation constraint condition, where the microgrid operation constraint condition is used to characterize an energy variation condition that needs to be matched for stable operation of the corresponding ac/dc hybrid microgrid 20, and the microgrid operation constraint condition may be a single constraint condition or multiple constraint conditions. If the alternating current-direct current hybrid microgrid 20 meets all constraint conditions included in the microgrid operation constraint conditions, it is indicated that the alternating current-direct current hybrid microgrid 20 operates stably; if the ac/dc hybrid microgrid 20 does not satisfy at least one constraint condition included in the microgrid operation constraint condition, it indicates that the ac/dc hybrid microgrid 20 is unstable in operation.
In this embodiment, the processor 12 may be an integrated circuit chip having signal processing capabilities. The Processor 12 may be a general-purpose Processor including at least one of a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), a Network Processor (NP), a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, a discrete gate or transistor logic device, and discrete hardware components. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like that implements or executes the methods, steps and logic blocks disclosed in the embodiments of the present application.
In this embodiment, the communication unit 13 is configured to establish a communication connection between the microgrid control device 10 and other electrical devices through a network, and to send and receive data through the network, where the network includes a wired communication network and a wireless communication network. For example, the microgrid control device 10 may be communicatively connected to the ac/dc hybrid microgrid 20 through the communication unit 13 to obtain the daily electrical load power of each of the dc sub-network 21 and the ac sub-network 22, or send an operation control command to the dc sub-network 21 and/or the ac sub-network 22 and/or the converter 23.
In this embodiment, the ac/dc hybrid microgrid scheduling apparatus 100 includes at least one software functional module that can be stored in the memory 11 in the form of software or firmware or in the operating system of the microgrid control device 10. The processor 12 may be used to execute executable modules stored in the memory 11, such as software functional modules and computer programs included in the ac/dc hybrid microgrid scheduling apparatus 100. The microgrid control device 10 can consider the operation and maintenance loss of the converter in the energy scheduling optimization process of the alternating-current/direct-current hybrid microgrid 20 from the perspective of economic operation through the alternating-current/direct-current hybrid microgrid scheduling device 100, so that the alternating-current/direct-current hybrid microgrid 20 has the characteristics of low economic loss and good operation effect when operating according to an optimized scheduling strategy, and energy scheduling operation with low economic loss and good operation effect on the alternating-current/direct-current hybrid microgrid 20 is realized.
It should be understood that the block diagram shown in fig. 2 is only one constituent schematic diagram of the microgrid control apparatus 10, and the microgrid control apparatus 10 may further include more or fewer components than those shown in fig. 2, or have a different configuration than that shown in fig. 2. The components shown in fig. 2 may be implemented in hardware, software, or a combination thereof.
In the present application, in order to ensure that the microgrid control device 10 can consider the operation and maintenance loss of the converter in the energy scheduling optimization process of the ac/dc hybrid microgrid 20 from the perspective of economic operation, so that the ac/dc hybrid microgrid 20 has the characteristics of low economic loss and good operation effect when operating according to an optimized scheduling strategy, the foregoing functions are realized by providing an ac/dc hybrid microgrid scheduling method according to the embodiment of the present application, and the ac/dc hybrid microgrid scheduling method provided by the present application is explained in detail below.
Referring to fig. 3, fig. 3 is a schematic flowchart of a method for scheduling an ac/dc hybrid microgrid according to an embodiment of the present application. In this embodiment of the application, the ac/dc hybrid microgrid scheduling method shown in fig. 3 may include steps S310 to S330, so as to consider the converter operation and maintenance loss in the energy scheduling optimization process of the ac/dc hybrid microgrid 20 from the perspective of economic operation, and optimize a scheduling strategy for ensuring that the ac/dc hybrid microgrid 20 has low economic loss and good operation effect.
Step S310, acquiring the interaction state between the current day of the AC/DC hybrid micro-grid and the external large grid, and the current day operation maintenance unit price of the AC/DC hybrid micro-grid matched with the interaction state.
In this embodiment, the interaction state between the ac/dc hybrid microgrid 20 and the external microgrid 30 may be notified to the microgrid control device 10 by the ac/dc hybrid microgrid 20 or the external microgrid 30. After the microgrid control device 10 determines the interaction state of the ac/dc hybrid microgrid 20 corresponding to the current day, the current-day operation and maintenance unit price of the ac/dc hybrid microgrid 20 matching the interaction state is obtained from a storage device (for example, each power device included in the ac/dc hybrid microgrid 20 or a price information storage server) storing cost price information of the operation and maintenance operation of the ac/dc hybrid microgrid 20 according to the specific state content represented by the interaction state.
In this embodiment, the current day operation and maintenance unit price at least includes a microgrid power supply and maintenance unit price of each micro power source (including wind power equipment, photovoltaic equipment and energy storage equipment) in the ac/dc hybrid microgrid 20 at different time periods of the current day, and a conversion operation and maintenance unit price and a conversion loss cost unit price of each converter in the ac/dc hybrid microgrid 20 at different time periods of the current day, where the microgrid power supply and maintenance unit price is used to calculate a power supply operation and maintenance cost in the microgrid operation cost, and the conversion operation and maintenance unit price and the conversion loss cost unit price are used to cooperatively calculate a conversion operation and maintenance cost in the microgrid operation cost. The microgrid power supply maintenance unit price is used for representing a loss cost unit price caused by a corresponding microgrid in a power supply operation process, the conversion operation maintenance unit price is used for representing a loss cost unit price for maintaining the operation of the converter 23 when the corresponding converter 23 transmits the power which can be actually transmitted by the converter 23, and the conversion loss unit price is used for representing a loss cost unit price of power conversion loss of the corresponding converter 23 in the power transmission process.
When the interaction state is an off-grid state, the ac/dc hybrid microgrid 20 needs to supply power for the current power load alone, the ac/dc hybrid microgrid 20 may have an actual power supply demand that cannot meet the power load, and at this time, in order to ensure stable operation of the ac/dc hybrid microgrid 20, part of the power load needs to be unloaded, so that the ac/dc hybrid microgrid 20 supplies power to the unloaded remaining power load. In this case, the unloaded power loads need to be compensated, the daily operating and maintenance unit price in the off-grid state at least includes the load unloading compensation unit prices of the ac/dc hybrid microgrid 20 at different time periods of the day, and the microgrid operating cost of the ac/dc hybrid microgrid 20 includes the load unloading compensation cost in addition to the variable current operation and maintenance cost and the power supply operation and maintenance cost.
When the interaction state is a grid-connected state, the ac/dc hybrid microgrid 20 and the external large power grid 30 are mutually matched to supply power to a current power load, the ac/dc hybrid microgrid 20 does not need to maintain stable operation by unloading the power load, but energy interaction cost between the ac/dc hybrid microgrid 20 and the external large power grid 30 needs to be considered, then the current operation maintenance unit price in the off-grid state at least includes power grid interaction purchase unit prices of the ac/dc hybrid microgrid 20 for the external large power grid 30 at different time periods of the current day, and the microgrid operation cost of the ac/dc hybrid microgrid 20 includes grid interaction cost in addition to current conversion operation and maintenance cost and power supply operation and maintenance cost.
And S320, searching a target cost operation function matched with the interaction state in a plurality of prestored microgrid operation cost operation functions, wherein the microgrid operation cost operation functions are used for calculating microgrid operation costs including current transformation operation and maintenance costs and power supply operation and maintenance costs of the corresponding alternating current-direct current hybrid microgrid.
In this embodiment, after the microgrid control device 10 determines the interaction state corresponding to the ac/dc hybrid microgrid 20 on the current day, a microgrid operation cost operation function matched with the interaction state is found from at least two stored microgrid operation cost operation functions according to the specific state content represented by the interaction state, and is used as a target cost operation function corresponding to the ac/dc hybrid microgrid 20 on the current day.
If the interaction state is an off-network state, the microgrid operation cost calculated corresponding to the target cost operation function further comprises a load-shedding compensation cost, and at this time, the microgrid operation cost is composed of a corresponding load-shedding compensation cost, a current-converting operation and maintenance cost and a power supply operation and maintenance cost, and the microgrid operation cost represents the sum of the load-shedding compensation cost, the current-converting operation and maintenance cost and the power supply operation and maintenance cost.
And if the interaction state is a grid-connected state, the microgrid operation cost calculated corresponding to the target cost operation function also comprises a power grid interaction cost, the microgrid operation cost at the moment consists of a corresponding power grid interaction cost, a current transformation operation and maintenance cost and a power supply operation and maintenance cost, and the microgrid operation cost represents the sum of the power grid interaction cost, the current transformation operation and maintenance cost and the power supply operation and maintenance cost.
In an implementation manner of this embodiment, a calculation formula for calculating the power supply operation and maintenance cost in each microgrid operation cost operation function may be represented as the following formula:
Figure BDA0003312103050000131
wherein, CHmgThe power supply operation and maintenance cost of the AC/DC hybrid micro-grid 20 on the same day is represented, N is used for representing the total number of micro-power sources of the AC/DC hybrid micro-grid 20, T is used for representing the total number of time periods on the same day, and k isn(t) the microgrid power supply maintenance unit price P used for expressing the nth microgrid power supply in the tth time period of the dayn(t) use in watchesShowing the power output of the nth micro power supply at the tth time period of the day. If the length of a single time period is 1 hour, the total number of corresponding single-day time periods is 24; if the length of a single time period is 3 hours, the total number of corresponding single-day time periods is 8.
In an implementation manner of this embodiment, a calculation formula for calculating the variable current operation and maintenance cost in each microgrid operation cost calculation function may be represented as follows:
Figure BDA0003312103050000132
wherein, CConIs used for representing the current conversion operation and maintenance cost, C, of the AC/DC hybrid micro-grid 20 on the same dayConvIs used for representing the current conversion operation cost, C, of the AC/DC hybrid micro-grid 20 on the same dayCon-LossIs used for representing the current conversion loss cost of the AC/DC hybrid micro-grid 20 in the same day, M is used for representing the total number of converters of the AC/DC hybrid micro-grid 20, T is used for representing the total number of time periods in the same day, and lambda ism(t) is used for indicating the converting operation maintenance unit price, eta, of the mth converter 23 in the tth period of the dayCon-mFor indicating the conversion efficiency, P, of the m-th converter 23Con-m(t) is used to indicate the variable transmission power of the mth converter 23 during the tth period of the day,
Figure BDA0003312103050000143
for indicating the cost of converting loss of the mth converter 23 in the tth period of the day, PCon-Loss-m(t) is used to represent the transmission loss power of the mth converter 23 in the tth period of the day.
In an implementation manner of this embodiment, a calculation formula for calculating the load shedding compensation cost in the microgrid operation cost operation function corresponding to the off-grid state may be represented as the following equation:
Figure BDA0003312103050000141
wherein the content of the first and second substances,CLoad-Lossfor representing the off-load compensation cost of the AC/DC hybrid microgrid 20 in the current day, T for representing the total number of time periods in the current day, L (T) for representing the off-load compensation unit price of the AC/DC hybrid microgrid 20 in the T-th time period in the current day, PLoad-Loss(t) is used to represent the load shed power of the ac/dc hybrid microgrid 20 at the tth time period of the day.
In an implementation manner of this embodiment, a calculation formula for calculating the grid interaction cost in the microgrid operation cost calculation function corresponding to the grid-connected state may be represented as the following formula:
Figure BDA0003312103050000142
wherein, CLoad-LossFor representing the grid interaction cost of the AC/DC hybrid micro-grid 20 on the day, T for representing the total number of time periods on the day, Eprice(t) is used for representing the power grid interaction electricity purchasing unit price, P, of the alternating current-direct current hybrid micro-grid 20 when electricity is purchased from the external large power grid 30 in the tth period of the dayGrid(t) is used to represent the grid interaction power purchased by the ac/dc hybrid microgrid 20 from the external large power grid 30 during the tth period of the day.
And step S330, solving for the alternating current-direct current hybrid micro-grid to obtain an operation scheduling strategy meeting micro-grid operation constraint conditions by taking the micro-grid operation cost corresponding to the minimum target cost operation function as a micro-grid scheduling objective on the basis of the current day operation maintenance unit price.
In this embodiment, after obtaining the target cost operation function corresponding to the current-day interaction state of the ac/dc hybrid microgrid 20, the microgrid control device 10 substitutes the current-day operation maintenance unit price, which is matched with the interaction state, of the ac/dc hybrid microgrid 20, into the target cost operation function, then effectively combines the target cost operation function substituted with the current-day operation maintenance unit price with a prestored microgrid operation constraint condition, and applies one or more machine learning algorithms to minimize the microgrid operation cost of the ac/dc hybrid microgrid 20 to a microgrid scheduling objective, so as to obtain an operation scheduling policy meeting the microgrid operation constraint condition. In an implementation manner of this embodiment, a penalty function method may be introduced to organically combine a target cost operation function and a microgrid operation constraint condition, and then a particle swarm algorithm is used to implement a solution optimization operation on the operation scheduling policy.
The operation scheduling policy at least records electric power output power that each micro power source (including wind power equipment, photovoltaic equipment and energy storage equipment) in the ac/dc hybrid microgrid 20 needs to achieve at different time periods of the day, conversion transmission power that each converter 23 in the ac/dc hybrid microgrid 20 needs to transmit at different time periods of the day, load shedding power (the value of which may be zero) required by the ac/dc hybrid microgrid 20 when the ac/dc hybrid microgrid 20 is used for shedding electric loads at different time periods of the day, grid interaction power (the value of which may be zero) required by the ac/dc hybrid microgrid 20 at different time periods of the day, and the like.
In an implementation manner of this embodiment, the microgrid operation constraint condition includes a microgrid energy storage constraint condition, a microgrid power supply constraint condition, an ac subnet constraint condition, a dc subnet constraint condition, and an interactive power constraint condition.
In this process, the interactive power constraint condition is used to limit the grid interactive power upper and lower limit values of the ac/dc hybrid micro-grid 20 at different time periods of the day, and at this time, the interactive power constraint condition may adopt the formula
Figure BDA0003312103050000151
And (4) performing representation. Wherein, PGrid(t) substantially indicates that the AC/DC hybrid microgrid 20 purchases electricity from the external large power grid 30 during the tth period of the day when the time is greater than zero, PGrid(t) being less than zero substantially means that the AC/DC hybrid microgrid 20 is vending electricity to the external microgrid 30 during the tth period of the day,
Figure BDA0003312103050000152
for indicating that the AC/DC hybrid micro-grid 20 is at the tth time of the dayThe maximum grid interaction power value (i.e. the grid interaction power upper limit value) of the segment,
Figure BDA0003312103050000153
the minimum grid interaction power value (i.e. the grid interaction power lower limit value) of the ac/dc hybrid micro-grid 20 in the tth time period of the day is represented.
In this process, the microgrid power supply constraint condition is used for limiting the upper and lower limit values of the power output power of each micro power supply in the alternating-current/direct-current hybrid microgrid 20 in different time periods of the day and the upper and lower limit values of the power output power change of the corresponding micro power supply in adjacent time periods. The content of the constraint condition of the microgrid power supply constraint condition at the direct-current subnetwork 21 in the alternating-current and direct-current hybrid microgrid 20 can be expressed by the following equation:
Figure BDA0003312103050000161
wherein, Pn-dc(t) is used to represent the electric power output power of a single micro power source under the dc sub-network 21 of the ac/dc hybrid micro grid 20 during the tth period of the day,
Figure BDA0003312103050000162
for indicating the minimum power output power value (i.e. the lower limit value of the power output power) of the corresponding micro power source during the tth period of the day,
Figure BDA0003312103050000163
for indicating the maximum power output power value (i.e. the upper limit value of the power output power) of the corresponding micro power source during the tth period of the day,
Figure BDA0003312103050000164
for indicating the minimum power climbing capability (i.e. the electric power output power variation lower limit value) of the corresponding micro power supply between the adjacent time periods of the day,
Figure BDA0003312103050000165
for watchesAnd showing the maximum power climbing capacity (namely the electric power output power change upper limit value) of the corresponding micro power supply between adjacent time intervals on the day.
The content of the microgrid power supply constraint condition at the ac subnetwork 22 in the ac/dc hybrid microgrid 20 can be expressed by the following equation:
Figure BDA0003312103050000166
wherein, Pn-ac(t) is used to represent the electrical output power of a single micro power source under the ac sub-network 22 of the ac/dc hybrid micro grid 20 during the tth period of the day,
Figure BDA0003312103050000167
for indicating the minimum power output power value (i.e. the lower limit value of the power output power) of the corresponding micro power source during the tth period of the day,
Figure BDA0003312103050000168
for indicating the maximum power output power value (i.e. the upper limit value of the power output power) of the corresponding micro power source during the tth period of the day,
Figure BDA0003312103050000169
for indicating the minimum power climbing capability (i.e. the electric power output power variation lower limit value) of the corresponding micro power supply between the adjacent time periods of the day,
Figure BDA00033121030500001610
for representing the maximum power climbing capability (i.e. the power output power variation upper limit value) of the corresponding micro power supply between adjacent time periods of the day.
In this process, the microgrid energy storage constraint condition is used for limiting the upper and lower limit values of the charge and discharge power and the upper and lower limit values of the state of charge of each energy storage device in the alternating current-direct current hybrid microgrid 20 at different time intervals. The content of the constraint condition of the microgrid energy storage constraint condition at the direct current subnet 21 in the alternating current-direct current hybrid microgrid 20 can be expressed by the following equation:
Figure BDA0003312103050000171
wherein, PES-dc(t) represents the charging and discharging power (i.e. power output power), Pp, of a single energy storage device under the DC sub-network 21 of the AC/DC hybrid micro-grid 20 in the tth period of the dayES-dc(t) substantially indicates that the corresponding energy storage device is discharging during the tth time period of the day, P, when greater than zeroES-dc(t) being less than zero substantially means that the corresponding energy storage device is charging during the tth period of the day,
Figure BDA0003312103050000172
for representing the minimum charging and discharging power value (i.e. the lower limit value of the charging and discharging power) of the corresponding energy storage device in the tth time period of the day,
Figure BDA0003312103050000173
for representing the maximum charge-discharge power value (i.e. the upper limit value of charge-discharge power), S, of the corresponding energy storage device during the tth time period of the dayES-dc(t) is used to represent the state of charge of the corresponding energy storage device during the tth period of the day,
Figure BDA0003312103050000174
for indicating a minimum state of charge value (i.e. a lower state of charge value) for the corresponding energy storage device during the tth time period of the day,
Figure BDA0003312103050000175
for indicating the maximum state of charge value (i.e., the upper state of charge value) of the corresponding energy storage device during the tth time period of the day.
The content of the microgrid energy storage constraint condition at the ac subnetwork 22 in the ac-dc hybrid microgrid 20 can be expressed by the following equation:
Figure BDA0003312103050000176
wherein, PES-ac(t) represents the charging and discharging power (i.e. the power output power), Pp, of a single energy storage device under the AC sub-network 22 of the AC/DC hybrid micro-grid 20 during the tth period of the dayES-ac(t) substantially indicates that the corresponding energy storage device is discharging during the tth time period of the day, P, when greater than zeroES-ac(t) being less than zero substantially means that the corresponding energy storage device is charging during the tth period of the day,
Figure BDA0003312103050000177
for representing the minimum charging and discharging power value (i.e. the lower limit value of the charging and discharging power) of the corresponding energy storage device in the tth time period of the day,
Figure BDA0003312103050000178
for representing the maximum charge-discharge power value (i.e. the upper limit value of charge-discharge power), S, of the corresponding energy storage device during the tth time period of the dayES-ac(t) is used to represent the state of charge of the corresponding energy storage device during the tth period of the day,
Figure BDA0003312103050000179
for indicating a minimum state of charge value (i.e. a lower state of charge value) for the corresponding energy storage device during the tth time period of the day,
Figure BDA00033121030500001710
for indicating the maximum state of charge value (i.e., the upper state of charge value) of the corresponding energy storage device during the tth time period of the day.
In this process, if the ac sub-network 22 includes an energy storage device and an ac wind power device, the expression of the ac sub-network constraint condition is as follows:
Figure BDA0003312103050000181
wherein M is used for representing the total number of converters of the AC/DC hybrid microgrid 20, PCon-m(t) for representing the m-th converter23 variable transmission power, P, at the tth time period of the dayES-ac(t) is used to represent the electric power output power, Pp, of the energy storage device under the AC sub-network 22 of the AC/DC hybrid micro-grid 20 in the tth period of the dayWT-ac(t) is used for representing the electric power output power P of the wind power equipment under the alternating current sub-network 22 of the alternating current-direct current hybrid micro-grid 20 in the t time period of the dayLoad-ac(t) electric load power, P, for representing the t-th time period on the day of the AC sub-network 22 of the AC/DC hybrid micro-grid 20Grid(t) is used to represent the grid interaction power purchased by the ac/dc hybrid microgrid 20 from the external large power grid 30 during the tth period of the day. PGrid(t) the value in off-grid state is zero, and PGridThe value of (t) in the grid-connected state may be any value.
In this process, if the dc sub-network 21 includes an energy storage device, a dc wind power device, and a photovoltaic device, the expression of the dc sub-network constraint condition is as follows:
Figure BDA0003312103050000182
wherein M is used for representing the total number of converters of the AC/DC hybrid microgrid 20, PCon-m(t) is used to indicate the variable transmission power, P, of the mth converter 23 during the tth period of the dayLoad-dc(t) electric load power, P, for representing the t-th time period of the day of the direct current sub-network 21 of the alternating current/direct current hybrid micro-grid 20ES-dc(t) is used for representing the electric output power, P, of the energy storage device under the direct current sub-network 21 of the alternating current-direct current hybrid micro-grid 20 in the period t of the dayWT-dc(t) is used for representing the electric power output power P of the direct-current type wind power equipment under the direct-current sub-network 21 of the alternating-current and direct-current hybrid micro-grid 20 in the t time period of the dayPV(t) is used to represent the electrical output power of the photovoltaic equipment under the dc sub-network 21 of the ac/dc hybrid micro-grid 20 at the tth time period of the day.
Therefore, by executing the steps S310 to S330, the converter operation and maintenance loss is considered in the energy scheduling optimization process of the ac/dc hybrid microgrid 20 from the perspective of economic operation, so that the ac/dc hybrid microgrid 20 has the characteristics of low economic loss and good operation effect when operating according to the optimized scheduling strategy, thereby realizing energy scheduling operation with low economic loss and good operation effect on the ac/dc hybrid microgrid 20.
Optionally, referring to fig. 4, fig. 4 is a second flowchart of the ac/dc hybrid microgrid scheduling method according to the embodiment of the present application. In this embodiment of the application, compared with the ac/dc hybrid microgrid scheduling method shown in fig. 3, the ac/dc hybrid microgrid scheduling method shown in fig. 4 may further include step S340, so that energy scheduling operation with low economic loss and good operation effect is realized for the ac/dc hybrid microgrid 20 through step S340.
And step S340, controlling the AC/DC hybrid micro-grid to carry out power dispatching operation according to the operation dispatching strategy.
In this embodiment, after the microgrid control device 10 determines an operation scheduling policy matched with the current day interaction state of the ac/dc hybrid microgrid 20, according to the power output power required to be achieved by each micro power source (including wind power equipment, photovoltaic equipment and energy storage equipment) at different time intervals of the day, the variable current transmission power required to be transmitted by each converter 23 at different time intervals of the day, the load unloading power required by the alternating current and direct current hybrid micro grid 20 when the alternating current and direct current hybrid micro grid 20 unloads the electric loads at different time intervals of the day, the power grid interaction power required by the alternating current and direct current hybrid micro grid 20 at different time intervals of the day and other strategy contents, the operation conditions of each power equipment and each converter 23 included in the alternating current and direct current hybrid micro grid 20 are controlled, and therefore energy scheduling operation (namely the power scheduling operation) with low economic loss and good operation effect is achieved.
Therefore, by executing the step S340, the energy scheduling operation with low economic loss and good operation effect can be realized for the ac/dc hybrid microgrid 20.
In the present application, in order to ensure that the microgrid control device 10 can execute the ac/dc hybrid microgrid scheduling method through the ac/dc hybrid microgrid scheduling device 100, the ac/dc hybrid microgrid scheduling device 100 performs the function module division to achieve the aforementioned functions. The following describes specific components of the ac/dc hybrid microgrid scheduling apparatus 100 provided in the present application.
Referring to fig. 5, fig. 5 is a schematic diagram illustrating a composition of an ac/dc hybrid microgrid scheduling apparatus 100 according to an embodiment of the present application. In this embodiment, the ac/dc hybrid microgrid scheduling apparatus 100 may include a microgrid condition obtaining module 110, a cost function query module 120, and a scheduling policy solving module 130.
The microgrid condition obtaining module 110 is configured to obtain an interaction state between the ac/dc hybrid microgrid and the external large power grid on the same day, and a unit price of the ac/dc hybrid microgrid for operation and maintenance on the same day, which is matched with the interaction state.
And a cost function query module 120, configured to search a target cost operation function matched with the interaction state from a plurality of pre-stored microgrid operation cost operation functions, where the microgrid operation cost operation function is used to calculate a microgrid operation cost including a current-converting operation and maintenance cost and a power supply operation and maintenance cost of a corresponding ac/dc hybrid microgrid.
And the scheduling policy solving module 130 is configured to solve for the ac/dc hybrid microgrid to obtain an operation scheduling policy meeting the microgrid operation constraint condition, with the microgrid operation cost corresponding to the minimum target cost operation function as the microgrid scheduling objective, based on the current-day operation maintenance unit price.
Optionally, referring to fig. 6, fig. 6 is a second schematic view illustrating a composition of the ac/dc hybrid microgrid scheduling apparatus 100 according to the embodiment of the present application. In this embodiment, the ac/dc hybrid microgrid scheduling apparatus 100 may further include a microgrid operation control module 140.
And the microgrid operation control module 140 is used for controlling the alternating current-direct current hybrid microgrid to perform power scheduling operation according to the operation scheduling strategy.
It should be noted that the basic principle and the generated technical effect of the ac/dc hybrid microgrid scheduling apparatus 100 provided in the embodiment of the present application are the same as those of the ac/dc hybrid microgrid scheduling method described above. For a brief description, reference may be made to the description of the ac/dc hybrid microgrid scheduling method.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part. The functions may be stored in a storage medium if they are implemented in the form of software function modules and sold or used as separate products. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
In summary, in the ac/dc hybrid microgrid scheduling method, apparatus and microgrid control device provided by the present application, under the condition that the interaction state between the ac/dc hybrid microgrid on the same day and the external large power grid is obtained, and the current-day operation maintenance unit price of the ac/dc hybrid microgrid in the corresponding interaction state is obtained, a target cost operation function matched with the interaction state is searched from a plurality of prestored microgrid operation cost operation functions related to the current conversion operation and maintenance cost and the power supply operation and maintenance cost, and the microgrid operation cost corresponding to the minimized target cost operation function is used as the microgrid scheduling purpose based on the current-day operation maintenance unit price, and the operation scheduling policy satisfying the operation constraint condition is obtained by solving for the ac/dc hybrid microgrid, so that the converter operation and maintenance loss is considered in the energy scheduling optimization process of the ac/dc hybrid microgrid from the viewpoint of economic operation, the alternating current-direct current hybrid micro-grid has the characteristics of low economic loss and good operation effect when operating according to an optimized scheduling strategy.
The above description is only for various embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of changes or substitutions within the technical scope of the present application, and all such changes or substitutions are included in the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (10)

1. An alternating current-direct current hybrid microgrid scheduling method is characterized by comprising the following steps:
acquiring an interaction state between an alternating current-direct current hybrid micro-grid and an external large power grid on the same day and a current-day operation maintenance unit price of the alternating current-direct current hybrid micro-grid matched with the interaction state;
searching a target cost operation function matched with the interaction state in a plurality of prestored microgrid operation cost operation functions, wherein the microgrid operation cost operation function is used for calculating a microgrid operation cost which corresponds to the alternating current-direct current hybrid microgrid and comprises a current conversion operation and maintenance cost and a power supply operation and maintenance cost;
and solving for the alternating current-direct current hybrid micro-grid to obtain an operation scheduling strategy meeting micro-grid operation constraint conditions by taking the minimum micro-grid operation cost corresponding to the target cost operation function as a micro-grid scheduling objective on the basis of the current-day operation maintenance unit price.
2. The method according to claim 1, wherein the current day operation and maintenance unit price comprises a microgrid power supply maintenance unit price of each microgrid in the alternating current/direct current hybrid microgrid at different time periods in the current day, the microgenerators comprise wind power equipment, photovoltaic equipment and energy storage equipment, and then a calculation formula of the power supply operation and maintenance cost in the microgrid operation cost operation function is as follows:
Figure FDA0003312103040000011
wherein, CHmgThe system is used for representing the power supply operation and maintenance cost of the alternating current-direct current hybrid micro-grid on the same day, N is used for representing the total number of micro-power sources of the alternating current-direct current hybrid micro-grid, T is used for representing the total number of time periods on the same day, and k isn(t) the microgrid power supply maintenance unit price P used for expressing the nth microgrid power supply in the tth time period of the dayn(t) is used to represent the electrical output power of the nth micro power source at the tth time period of the day.
3. The method according to claim 1, wherein the current day operation and maintenance unit price includes a current transformation operation and maintenance unit price and a current transformation loss cost unit price of each current transformer in the ac/dc hybrid microgrid at different time periods of the current day, and then a calculation formula of the current transformation operation and maintenance cost in the microgrid operation cost operation function is as follows:
Figure FDA0003312103040000021
wherein, CConUsed for representing the current conversion operation and maintenance cost of the AC/DC hybrid micro-grid on the same day, CConvFor representing the current-converting operation cost of the AC/DC hybrid micro-grid on the same day, CCon-LossThe current conversion loss cost of the AC/DC hybrid micro-grid on the same day is represented, M is used for representing the total number of converters of the AC/DC hybrid micro-grid, T is used for representing the total number of time periods on the same day, and lambda ism(t) is used for representing the converting operation maintenance unit price, eta, of the mth converter in the tth time period of the dayCon-mFor indicating the conversion efficiency, P, of the m-th converterCon-m(t) is used for indicating the converted transmission power of the mth converter in the tth time period of the day,
Figure FDA0003312103040000022
the cost of converting loss for the mth converter in the tth period of the day is PCon-Loss-m(t) is used for representing the transmission loss power of the mth converter in the tth period of the day.
4. The method according to claim 1, wherein if the interaction status is an off-grid status, the microgrid operation cost further comprises a load shedding compensation cost, and the current day operation and maintenance unit price at least comprises load shedding compensation unit prices of the ac/dc hybrid microgrid at different time periods on the current day, and a calculation formula of the load shedding compensation cost in the target cost operation function is as follows:
Figure FDA0003312103040000023
wherein, CLoad-LossFor representing said AC-DC hybridThe load unloading compensation cost of the hybrid microgrid on the same day, T is used for representing the total number of time periods on the same day, L (T) is used for representing the load unloading compensation unit price of the alternating current-direct current hybrid microgrid on the T-th time period on the same day, PLoad-Loss(t) is used for representing the load unloading power of the alternating current-direct current hybrid micro-grid in the tth time period of the day.
5. The method according to claim 1, wherein if the interaction state is a grid-connected state, the microgrid operation cost further includes a grid interaction cost, at this time, the current operation and maintenance unit price at least includes a grid interaction electricity purchasing unit price of the alternating-current/direct-current hybrid microgrid for the external large power grid at different time periods of the current day, and a calculation formula of the grid interaction cost in the target cost operation function is as follows:
Figure FDA0003312103040000031
wherein, CLoad-LossFor representing the grid interaction cost of the AC/DC hybrid micro-grid on the day, T for representing the total number of time periods on the day, Eprice(t) is used for representing the power grid interactive electricity purchasing unit price, P, of the alternating current-direct current hybrid micro-grid when electricity is purchased from the external large power grid in the tth period of the dayGrid(t) is used for representing the power grid interaction power purchased by the alternating current-direct current hybrid micro-grid from the external large power grid at the t-th time period of the day.
6. The method according to any one of claims 1 to 5, wherein the microgrid operation constraints comprise a microgrid energy storage constraint, a microgrid power supply constraint, an alternating current subnet constraint, a direct current subnet constraint and an interaction power constraint;
the interactive power constraint condition is used for limiting the upper and lower limit values of the power grid interactive power of the alternating-current and direct-current hybrid micro-grid in different time periods of the day;
the micro-grid power supply constraint condition is used for limiting the upper and lower limit values of the power output power of each micro-power supply in the alternating-current and direct-current hybrid micro-grid at different time intervals of the day and the upper and lower limit values of the power output power change of the corresponding micro-power supply at adjacent time intervals;
the micro-grid energy storage constraint condition is used for limiting the upper and lower limit values of charge and discharge power and the upper and lower limit values of the state of charge of each energy storage device in the alternating current-direct current hybrid micro-grid at different time intervals;
the expression of the AC subnet constraints is as follows:
Figure FDA0003312103040000032
the expression of the dc subnet constraint is as follows:
Figure FDA0003312103040000033
in the above expression, M is used to represent the total number of converters of the ac/dc hybrid microgrid, PCon-m(t) is used for indicating the variable transmission power P of the mth converter in the tth time period of the dayES-ac(t) is used for representing the electric power output power P of the energy storage equipment under the alternating current sub-network of the alternating current-direct current hybrid micro-grid in the tth time period of the dayWT-ac(t) is used for representing the electric power output power P of the wind power equipment in the t time period of the day under the alternating current sub-network of the alternating current-direct current hybrid micro-gridLoad-ac(t) electric load power P used for representing the t time period of the AC sub-network of the AC-DC hybrid micro-grid on the current dayGrid(t) is used for representing the power grid interaction power, P, acquired by the AC-DC hybrid micro-grid from the external large power grid in the tth period of the dayLoad-dc(t) electric load power P used for expressing the t time period of the direct current sub-network of the alternating current and direct current hybrid micro-grid on the current dayES-dc(t) is used for representing the electric power output power P of the energy storage equipment under the direct current sub-network of the alternating current-direct current hybrid micro-grid in the tth time period of the dayWT-dc(t) use forRepresenting the electric output power P of the wind power equipment in the t-th time period of the day under the direct-current sub-network of the alternating-current and direct-current hybrid micro-gridPV(t) is used for representing the electric power output power of the photovoltaic equipment under the direct current sub-network of the alternating current and direct current hybrid micro-grid in the tth time period of the day.
7. The method of claim 1, further comprising:
and controlling the alternating current-direct current hybrid micro-grid to carry out power dispatching operation according to the operation dispatching strategy.
8. The utility model provides a hybrid microgrid scheduling device of alternating current-direct current which characterized in that, the device includes:
the microgrid condition acquisition module is used for acquiring the interaction state between the current day of the alternating current-direct current hybrid microgrid and the external large power grid and the current day operation maintenance unit price of the alternating current-direct current hybrid microgrid matched with the interaction state;
the cost function query module is used for searching a target cost operation function matched with the interaction state in a plurality of prestored microgrid operation cost operation functions, wherein the microgrid operation cost operation function is used for calculating a microgrid operation cost which corresponds to the alternating current-direct current hybrid microgrid and comprises a variable current operation and maintenance cost and a power supply operation and maintenance cost;
and the scheduling strategy solving module is used for solving aiming at the alternating current-direct current hybrid micro-grid to obtain an operation scheduling strategy meeting micro-grid operation constraint conditions by taking the micro-grid operation cost corresponding to the minimized target cost operation function as a micro-grid scheduling objective on the basis of the current day operation maintenance unit price.
9. The apparatus of claim 8, further comprising:
and the microgrid operation control module is used for controlling the alternating current-direct current hybrid microgrid to carry out power scheduling operation according to the operation scheduling strategy.
10. A microgrid control apparatus comprising a processor and a memory, the memory storing a computer program executable by the processor, the processor being configured to execute the computer program to implement the ac/dc hybrid microgrid scheduling method of any one of claims 1 to 7.
CN202111219704.4A 2021-10-20 2021-10-20 AC/DC hybrid microgrid scheduling method and device and microgrid control equipment Pending CN113937765A (en)

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