CN109755970B - Energy-saving scheduling method, system, equipment and computer readable storage medium - Google Patents

Energy-saving scheduling method, system, equipment and computer readable storage medium Download PDF

Info

Publication number
CN109755970B
CN109755970B CN201910250000.XA CN201910250000A CN109755970B CN 109755970 B CN109755970 B CN 109755970B CN 201910250000 A CN201910250000 A CN 201910250000A CN 109755970 B CN109755970 B CN 109755970B
Authority
CN
China
Prior art keywords
energy
cost
saving scheduling
peak
gas turbine
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201910250000.XA
Other languages
Chinese (zh)
Other versions
CN109755970A (en
Inventor
杨韵
蔡秋娜
刘思捷
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangdong Power Grid Co Ltd
Electric Power Dispatch Control Center of Guangdong Power Grid Co Ltd
Original Assignee
Guangdong Power Grid Co Ltd
Electric Power Dispatch Control Center of Guangdong Power Grid Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangdong Power Grid Co Ltd, Electric Power Dispatch Control Center of Guangdong Power Grid Co Ltd filed Critical Guangdong Power Grid Co Ltd
Priority to CN201910250000.XA priority Critical patent/CN109755970B/en
Publication of CN109755970A publication Critical patent/CN109755970A/en
Application granted granted Critical
Publication of CN109755970B publication Critical patent/CN109755970B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70Smart grids as climate change mitigation technology in the energy generation sector
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Landscapes

  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The application provides an energy-saving scheduling method, which comprises the following steps: performing difference operation on the initial peak regulation demand and the peak regulation demand of the gas turbine set in the starting and stopping time period to obtain the peak regulation demand; according to the peak regulation requirement, executing energy-saving scheduling operation by using a preset energy-saving scheduling model; the preset energy-saving scheduling model is restricted to the output change state of the gas turbine set during the starting and stopping period. The method comprises the steps of firstly carrying out difference operation on an initial peak regulation demand and a peak regulation demand of a gas turbine set during a start-stop period to obtain the peak regulation demand, and then executing energy-saving scheduling operation by utilizing a preset energy-saving scheduling model according to the peak regulation demand. Because the preset energy-saving scheduling model is restricted to the output change state of the gas turbine set during the start-stop period, namely the output change state of the gas turbine set during the start-stop period is considered, the operation benefit of the energy-saving power generation scheduling of the system can be improved. The application also provides an energy-saving scheduling system, equipment and a computer readable storage medium, which have the beneficial effects.

Description

Energy-saving scheduling method, system, equipment and computer readable storage medium
Technical Field
The present application relates to the field of scheduling operation of power systems, and in particular, to a method, a system, a device, and a computer-readable storage medium for energy-saving scheduling.
Background
An energy-saving scheduling method is frequently used in the field of energy-saving power generation scheduling of an electric power system, and particularly, an energy-saving power generation scheduling method considering the day start and stop of a gas turbine set becomes an important content of research in the field of energy-saving power generation scheduling of the current electric power system. Electric installation of a plurality of provinces such as Guangdong province and Jiangsu province in China mainly comprises coal-fired units and gas-fired units, and as the peak regulation pressure of a power grid increases, the detailed consideration of the peak regulation during on-off in a day of the gas-fired units becomes a key technical problem facing each province.
The traditional energy-saving scheduling method considering the daily start and stop of the gas turbine set solves the problem by increasing the 0-1 variable of the operation state of the gas turbine set and constructing a mixed integer programming model. An energy-saving scheduling method model considering the day start and stop of a gas turbine unit in a traditional mode can be expressed as follows:
Figure BDA0002012128710000011
Figure BDA0002012128710000012
in the optimization model shown in the above formula, the objective function considers the operation cost of the coal-fired unit and the gas-fired unit and the start-stop cost of the gas-fired unit, where NC and NG are the number of the coal-fired unit and the gas-fired unit in the system, NT is the number of optimization time periods, Δ T is a time interval, λ is the number of optimization time periods, andc、λgthe unit running cost of the coal-fired unit and the unit running cost of the gas-fired unit respectively,
Figure BDA0002012128710000021
the generated power, eta, of the coal-fired unit c and the gas-fired unit g at the moment tgFor the start-stop cost of the gas turbine,
Figure BDA0002012128710000022
the start-stop state variable of the gas turbine set is evaluated as-1, 0 and 1, and respectively represents start, unchanged and stop. The considered constraint conditions are power balance constraint, network transmission constraint, transmission capability constraint, coal-fired unit power generation capability constraint, gas unit start-stop state constraint, gas unit running state value characteristic constraint, gas unit start-stop time state value constraint and gas unit single-day start-stop times constraint in sequence. Wherein the content of the first and second substances,
Figure BDA0002012128710000026
for the predicted value of the system load at the time t, B, theta and P are respectively the imaginary part of the node admittance matrix, the phase angle vector of the node voltage and the active power vector injected into the node of the system,
Figure BDA0002012128710000023
for the active power flow of the transmission line/at the moment t,
Figure BDA0002012128710000027
are transmission lines respectivelylThe upper limit and the lower limit of the active power flow,
Figure BDA0002012128710000028
respectively the upper limit and the lower limit of the output of the coal-fired unit,
Figure BDA0002012128710000024
respectively an upper limit and a lower limit of the output of the gas turbine unit,
Figure BDA0002012128710000025
the variable is a 0-1 operation state variable of the gas unit, the gas unit is in a starting operation state when the value is 1, and the unit is in a shutdown state when the value is 0.
The purpose of stopping the gas turbine unit is to meet the peak regulation requirement of a power grid and reduce the peak regulation pressure of a coal-fired unit. However, the start-stop process of the gas turbine set is not started at once, and a certain time is required to pass from the running state to the shutdown state; besides, the gas turbine set start-stop peak regulation mode is adopted, the system peak regulation requirement can be met by adopting a coal turbine set deep peak regulation mode, and coordination between the gas turbine set start-stop peak regulation mode and the coal turbine set deep peak regulation mode are not considered in the existing gas turbine set start-stop peak regulation optimization decision. The requirements of the two aspects are not considered in the model, so that the local time interval can not meet the peak regulation requirement of the system easily, the energy-saving power generation dispatching requirement is not met, and the operation benefit of the energy-saving power generation dispatching of the system is reduced.
Therefore, how to improve the operation efficiency of the energy-saving power generation scheduling of the system is a technical problem that needs to be solved urgently by the technical personnel in the field.
Disclosure of Invention
The application aims to provide an energy-saving scheduling method, system, equipment and computer readable storage medium, which can improve the operation benefit of energy-saving power generation scheduling of the system.
In order to solve the above technical problem, the present application provides an energy-saving scheduling method, including:
performing difference operation on the initial peak regulation demand and the peak regulation demand of the gas turbine set in the starting and stopping time period to obtain the peak regulation demand;
according to the peak shaving requirement, executing energy-saving scheduling operation by using a preset energy-saving scheduling model; the preset energy-saving scheduling model is restricted to the output change state of the gas turbine set during the starting and stopping period.
Preferably, the executing, according to the peak shaving requirement, an energy-saving scheduling operation by using a preset energy-saving scheduling model includes:
constructing an initial energy-saving scheduling model according to the operation cost of the coal-fired unit and the operation cost of the gas unit;
determining the output change state of the gas turbine set during the start-stop period as the value range of the generated power in the initial energy-saving scheduling model during the start-stop period, and obtaining the preset energy-saving scheduling model;
and executing the energy-saving scheduling operation by utilizing the preset energy-saving scheduling model according to the peak shaving requirement.
Preferably, the energy-saving scheduling method further includes:
respectively calculating the initial depth peak regulation cost and the depth peak regulation cost of the coal-fired unit according to the initial peak regulation demand and the peak regulation demand;
and determining the number of the newly added gas units by using the initial deep peak shaving cost, the deep peak shaving cost and the starting and stopping cost of each single gas unit.
Preferably, the determining the number of the newly added gas turbine units by using the initial depth peak shaving cost, the depth peak shaving cost and the start-stop cost of each single gas turbine unit includes:
performing difference operation on the initial depth peak-shaving cost and the depth peak-shaving cost to obtain a peak-shaving cost increment;
after the start-stop costs of the single gas turbine units are sequenced from low to high, the start-stop costs are sequentially accumulated to obtain an accumulated sum;
and determining the maximum number of the gas units of which the accumulated sum does not exceed the peak shaving cost increment as the number of the newly increased gas units.
The present application further provides an energy-saving scheduling system, including:
the difference operation module is used for carrying out difference operation on the initial peak regulation demand and the peak regulation demand of the gas turbine set in the starting and stopping time period to obtain the peak regulation demand;
the energy-saving scheduling operation execution module is used for executing energy-saving scheduling operation by utilizing a preset energy-saving scheduling model according to the peak shaving requirement; the preset energy-saving scheduling model is restricted to the output change state of the gas turbine set during the starting and stopping period.
Preferably, the energy-saving scheduling operation executing module includes:
the initial energy-saving scheduling model building unit is used for building an initial energy-saving scheduling model according to the operation cost of the coal-fired unit and the operation cost of the gas unit;
a preset energy-saving scheduling model obtaining unit, configured to determine an output change state of the gas turbine unit during a start-stop period as a value range of the generated power in the initial energy-saving scheduling model during the start-stop period, and obtain the preset energy-saving scheduling model;
and the energy-saving scheduling operation executing unit is used for executing the energy-saving scheduling operation by utilizing the preset energy-saving scheduling model according to the peak shaving requirement.
Preferably, the energy-saving scheduling system further includes:
the peak regulation cost calculation module is used for respectively calculating the initial depth peak regulation cost and the depth peak regulation cost of the coal-fired unit according to the initial peak regulation demand and the peak regulation demand;
and the number determining module of the newly added gas units is used for determining the number of the newly added gas units by utilizing the initial deep peak shaving cost, the deep peak shaving cost and the start-stop cost of each single gas unit.
Preferably, the module for determining the number of the newly added gas turbine units includes:
a peak shaving cost increment obtaining unit, configured to perform a difference operation on the initial depth peak shaving cost and the depth peak shaving cost to obtain a peak shaving cost increment;
the accumulation and acquisition unit is used for sequentially accumulating the start-stop costs of the single gas turbine units from low to high to obtain an accumulation sum;
and the newly increased gas unit quantity determining unit is used for determining the maximum quantity of the gas units of which the accumulated sum does not exceed the peak shaving cost increment as the quantity of the newly increased gas units.
The present application further provides an apparatus comprising:
a memory and a processor; the memory is used for storing a computer program, and the processor is used for implementing the steps of the energy-saving scheduling method when executing the computer program.
The present application further provides a computer-readable storage medium, which stores a computer program, and the computer program, when executed by a processor, implements the steps of the energy-saving scheduling method described above.
The application provides an energy-saving scheduling method, which comprises the following steps: performing difference operation on the initial peak regulation demand and the peak regulation demand of the gas turbine set in the starting and stopping time period to obtain the peak regulation demand; according to the peak shaving requirement, executing energy-saving scheduling operation by using a preset energy-saving scheduling model; the preset energy-saving scheduling model is restricted to the output change state of the gas turbine set during the starting and stopping period.
The method comprises the steps of firstly carrying out difference operation on an initial peak regulation demand and a peak regulation demand of a gas turbine set during a start-stop period to obtain the peak regulation demand, and then executing energy-saving scheduling operation by utilizing a preset energy-saving scheduling model according to the peak regulation demand. Because the preset energy-saving scheduling model is restricted to the output change state of the gas turbine set during the starting and stopping period, namely the output change state of the gas turbine set during the starting and stopping period is considered, the operation benefit of the energy-saving power generation scheduling of the system can be improved. The application also provides an energy-saving scheduling system, equipment and a computer readable storage medium, which all have the beneficial effects and are not described herein again.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of an energy-saving scheduling method according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a deep peak shaving cost curve of a coal-fired unit according to an embodiment of the present application;
FIG. 3 is a schematic diagram of a deep peak shaving price curve of a coal-fired unit according to an embodiment of the present application;
fig. 4 is a schematic diagram of a variation curve of output during start-stop of a gas turbine set according to an embodiment of the present disclosure;
fig. 5 is a block diagram of an energy-saving scheduling system according to an embodiment of the present application.
Detailed Description
The core of the application is to provide an energy-saving scheduling method, which can improve the operation benefit of energy-saving power generation scheduling of a system. At the other core of the application, an energy-saving scheduling system, equipment and a computer readable storage medium are provided.
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. 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.
At present, an energy-saving scheduling method adopted in the field of scheduling operation of an electric power system cannot be combined with the change of power generation power of a gas turbine set in the starting and stopping process, so that the operation benefit of energy-saving power generation scheduling of the system is low. The energy-saving scheduling method provided by the application considers the power generation power change in the gas turbine set start-stop process, that is, considers the processing change state during the gas turbine set start-stop process, constructs an energy-saving scheduling model to execute energy-saving scheduling operation, and can improve the operation benefit of the energy-saving power generation scheduling of the system, specifically referring to fig. 1, where fig. 1 is a flowchart of an energy-saving scheduling method provided by an embodiment of the application, the energy-saving scheduling method specifically includes:
s101, performing difference operation on the initial peak regulation demand and the peak regulation demand of the gas turbine set in the starting and stopping time period to obtain a peak regulation demand;
the method comprises the steps of firstly carrying out difference operation on an initial peak regulation demand and a peak regulation demand of a gas turbine set in a start-stop period to obtain the peak regulation demand. The initial peak regulation demand in the embodiment of the application is a peak regulation demand, the peak regulation demand refers to a deviation between a predicted load and the lowest output of a coal-fired gas unit and a gas-fired unit, and the initial peak regulation demand at a moment can be expressed as:
Figure BDA0002012128710000061
in the above formula, the first and second carbon atoms are,
Figure BDA0002012128710000062
is a time of daytThe system has an initial peak regulation demand, and when the lowest output of the coal-fired and gas-fired units exceeds the load predicted value at the moment, the difference between the two is the initial peak regulation demand; otherwise, the initial peak shaver requirement is 0.
Figure BDA00020121287100000610
Is the lower limit of the output of the coal-fired unit,
Figure BDA0002012128710000063
is the lower limit of the output of the gas unit,
Figure BDA0002012128710000064
is a 0-1 operation state variable of the gas unit, the gas unit is in a starting operation state when the value is 1, the gas unit is in a shutdown state when the value is 0,
Figure BDA00020121287100000611
the predicted value of the system load at the moment t is obtained. The initial peak regulation requirement is not specifically limited in the embodiment of the application and is determined according to the actual situation. In a similar way, the peak regulation requirement of the start-stop period of the gas unit is not specifically limited, and is determined according to actual conditions.
And performing difference operation on the initial peak regulation demand and the peak regulation demand of the gas turbine set in the start-stop period to obtain the peak regulation demand, namely calculating to obtain the peak regulation demand of the gas turbine set in each period after the start-stop period is considered, wherein the peak regulation demand can be expressed as:
Figure BDA0002012128710000065
in the above formula
Figure BDA0002012128710000066
Respectively considering and not considering the time interval peak regulation requirement under the condition of starting and stopping the gas turbine set, and not considering the peak regulation requirement under the condition of increasing the starting and stopping of the gas turbine set
Figure BDA0002012128710000067
Exceeds the lower limit of the output of the gas turbine unit
Figure BDA0002012128710000068
The peak shaving requirement still exists in the time period
Figure BDA0002012128710000069
Otherwise the demand is 0.
Further, the embodiments of the present application may generally further include: respectively calculating the initial depth peak regulation cost and the depth peak regulation cost of the coal-fired unit according to the initial peak regulation demand and the peak regulation demand; and determining the number of the newly added gas units by utilizing the initial deep peak regulation cost, the deep peak regulation cost and the starting and stopping cost of each single gas unit. In the embodiment of the application, the initial depth peak shaving cost of the coal-fired unit can be calculated according to the initial peak shaving requirement
Figure BDA0002012128710000071
(i.e., predicting the initial depth peaking cost of a coal burning unit) which is
Figure BDA0002012128710000072
Usually reflected by a deep peak shaving price curve of the coal-fired unit, as shown in fig. 3, fig. 3 is a schematic diagram of a deep peak shaving price curve of the coal-fired unit provided in the embodiment of the present application. As can be seen from fig. 3, the deep peak shaving price curve of the coal-fired unit is stepped, the abscissa represents the peak shaving demand (unit is MW), and the ordinate represents the deep shaving cost (unit is ten thousand yuan/MW). The deep peak regulation cost of the coal-fired unit can be calculated according to the peak regulation requirement
Figure BDA0002012128710000073
(i.e., predicting the deep peak shaver cost of the coal-fired unit), the deep peak shaver cost
Figure BDA0002012128710000074
The coal-fired unit deep-regulation cost corresponding to the time-interval peak regulation requirement when the gas unit is started and stopped is considered, so that the coal-fired unit deep-regulation cost can be obtained by calculating a curve corresponding to the peak regulation cost-peak regulation requirement of the coal-fired unit.
As can be seen from the foregoing, the initial peak shaving requirement and the peak shaving requirement are not specifically limited in the embodiments of the present application, and therefore, the initial depth peak shaving cost and the depth peak shaving cost are also not specifically limited in the embodiments of the present application. The initial depth peak shaving cost and the depth peak shaving cost are usually visually reflected by using a coal-fired unit depth peak shaving cost curve, which can be expressed as:
Figure BDA0002012128710000075
in the above formula, the first and second carbon atoms are,
Figure BDA0002012128710000076
the deep adjustment cost of the coal-fired unit c is calculated when the Peak adjustment depth Peak is reachedcSatisfy the requirement of
Figure BDA0002012128710000077
Take a value of
Figure BDA0002012128710000078
In turn when the peak shaving depth satisfies
Figure BDA0002012128710000079
Take a value of
Figure BDA00020121287100000710
As shown in fig. 2, fig. 2 is a schematic diagram of a depth peak shaving cost curve of the coal-fired unit provided in the embodiment of the present application, and as can be seen from fig. 2, the abscissa of the depth peak shaving cost curve of the coal-fired unit represents the peak shaving depth (unit is MW), the ordinate represents the unit depth shaving cost (unit is ten thousand yuan/MW), and the shape of the curve is stepped.
The number of the newly added gas turbine units is determined by the initial deep peak shaving cost, the deep peak shaving cost and the starting and stopping cost of each single gas turbine unit. The start-stop cost of each single gas turbine set is not particularly limited and needs to be determined according to actual conditions.
Further, the determining the number of the newly added gas turbine units by using the initial depth peak regulation cost, the depth peak regulation cost and the start-stop cost of each single gas turbine unit generally includes: performing difference operation on the initial depth peak-shaving cost and the depth peak-shaving cost to obtain the peak-shaving cost increment; after the start-stop costs of the single gas turbine units are sequenced from low to high, the start-stop costs are sequentially accumulated to obtain an accumulated sum; and determining the maximum number of the gas units of which the accumulated sum does not exceed the peak shaving cost increment as the number of the newly added gas units. The peak shaving cost increment in the embodiment of the application is
Figure BDA0002012128710000081
According to the start-stop cost sequence of the gas units from low to high, if the gas units need to be started, stopped and peak-regulated, the gas unit with the lowest start-stop cost is required to be preferentially arrangedGas turbine units, the cost of which is specified
Figure BDA0002012128710000082
And the shutdown period of the gas turbine generator is bound to cover the period with the peak shaving requirement (if the period is discontinuous, the period without the peak shaving requirement needs to be run through to avoid the frequent start and stop of the gas turbine generator), and the maximum number of the gas turbine generator sets with the accumulated sum not exceeding the peak shaving cost increment is determined as the number of the newly added gas turbine generator sets. The number of the newly added gas turbine units is not particularly limited, and is determined according to the actual situation. Here, the embodiment of the application considers the cooperative matching with the deep peak shaving of the coal-fired unit, and can improve the practical benefit of energy-saving power generation dispatching.
S102, according to peak load regulation requirements, executing energy-saving scheduling operation by using a preset energy-saving scheduling model; the preset energy-saving scheduling model is restricted to the output change state of the gas turbine set during the starting and stopping period.
After the peak shaving requirement is obtained, energy-saving scheduling operation is executed by utilizing a preset energy-saving scheduling model according to the peak shaving requirement. The preset energy-saving scheduling model is constrained to the output change state of the gas turbine set during the start-stop period, that is, the output change state of the gas turbine set during the start-stop period is considered when the preset energy-saving scheduling model is constructed, that is, the generating power change process in the start-stop process is considered. The output change curve during the start-stop period of the gas turbine set is generally used to reflect the output change state during the start-stop period of the gas turbine set, and may be specifically shown in fig. 4, fig. 4 is a schematic diagram of the output change curve during the start-stop period of the gas turbine set provided in the embodiment of the present application, as can be known from fig. 4, an upper horizontal dotted line represents a minimum output limit value during operation, the output of the gas turbine set during the start-stop period is also changed in a time period from a start-stop time to a recovery operation time, an abscissa of the curve represents a time period (unit is h), and an ordinate represents a given value (unit is MW) during the start-stop period. The embodiment of the application does not specifically limit the way of constructing the preset energy-saving scheduling model, and only needs to meet actual requirements.
Further, the executing the energy-saving scheduling operation by using the preset energy-saving scheduling model according to the peak shaving requirement generally includes: constructing an initial energy-saving scheduling model according to the operation cost of the coal-fired unit and the operation cost of the gas unit; determining the output change state of the gas turbine set during the starting and stopping period as the value range of the generated power in the initial energy-saving scheduling model during the starting and stopping period, and obtaining a preset energy-saving scheduling model; and executing energy-saving scheduling operation by using a preset energy-saving scheduling model according to the peak shaving requirement. Specifically, after considering the output curve requirement of the gas turbine set during the start-stop period, the preset energy-saving scheduling model can be expressed as:
Figure BDA0002012128710000091
Figure BDA0002012128710000092
in the optimization model shown in the formula, the objective function considers the operation cost of the coal-fired unit and the gas-fired unit, wherein NC and NG are the number of the coal-fired unit and the gas-fired unit in the system respectively, NT is the number of optimization time periods, delta T is a time interval, and lambda isc、λgThe unit running cost of the coal-fired unit and the unit running cost of the gas-fired unit respectively,
Figure BDA0002012128710000093
the generated power of the coal-fired unit c and the generated power of the gas unit g at the moment t are respectively. The considered constraint conditions are power balance constraint, network transmission constraint, transmission capability constraint, coal-fired unit power generation capability constraint, gas unit operation period power generation capability constraint and gas unit start-stop period power generation capability constraint in sequence. Wherein the content of the first and second substances,
Figure BDA0002012128710000099
for the predicted value of the system load at the time t, B, theta and P are respectively the imaginary part of the node admittance matrix, the phase angle vector of the node voltage and the active power vector injected into the node of the system,
Figure BDA0002012128710000094
for the active power flow of the transmission line/at the moment t,
Figure BDA00020121287100000910
Figure BDA00020121287100000911
respectively an active power flow upper limit and an active power flow lower limit of the transmission line l,
Figure BDA00020121287100000912
respectively the upper limit and the lower limit of the output of the coal-fired unit,
Figure BDA0002012128710000095
respectively an upper limit and a lower limit of the output of the gas turbine unit,
Figure BDA0002012128710000096
indicating that the gas turbine is in an operational period at a period t,
Figure BDA0002012128710000097
indicating that the gas turbine set is in a start-stop stage in a time period t,
Figure BDA0002012128710000098
the set output value during the start-stop period of the gas turbine set shown in fig. 4 is shown.
The method comprises the steps of firstly carrying out difference operation on an initial peak regulation demand and a peak regulation demand of a gas turbine set start-stop time period to obtain the peak regulation demand, and then executing energy-saving dispatching operation by utilizing a preset energy-saving dispatching model according to the peak regulation demand. Because the preset energy-saving scheduling model is restricted to the output change state of the gas turbine set during the start-stop period, namely the output change state of the gas turbine set during the start-stop period is considered, the operation benefit of the energy-saving power generation scheduling of the system can be improved.
In the following, an energy-saving scheduling system, an energy-saving scheduling device, and a computer-readable storage medium provided in embodiments of the present application are introduced, and the energy-saving scheduling system, the energy-saving scheduling device, and the computer-readable storage medium described below may be referred to the energy-saving scheduling method described above correspondingly.
Referring to fig. 5, fig. 5 is a block diagram illustrating an energy-saving scheduling system according to an embodiment of the present disclosure; the energy-saving scheduling system comprises:
the difference operation module 501 is configured to perform difference operation on the initial peak shaving requirement and the peak shaving requirement of the gas turbine set during the start-stop period to obtain a peak shaving requirement;
an energy-saving scheduling operation executing module 502, configured to execute an energy-saving scheduling operation according to a peak shaving requirement by using a preset energy-saving scheduling model; the preset energy-saving scheduling model is restricted to the output change state of the gas turbine set during the starting and stopping period.
Based on the foregoing embodiment, the energy-saving scheduling operation executing module 502 in this embodiment generally includes:
the initial energy-saving scheduling model building unit is used for building an initial energy-saving scheduling model according to the operation cost of the coal-fired unit and the operation cost of the gas unit;
the preset energy-saving scheduling model obtaining unit is used for determining the output change state of the gas turbine set during the starting and stopping period as the value range of the generated power in the initial energy-saving scheduling model during the starting and stopping period, and obtaining a preset energy-saving scheduling model;
and the energy-saving scheduling operation execution unit is used for executing energy-saving scheduling operation by utilizing a preset energy-saving scheduling model according to the peak shaving requirement.
Based on the foregoing embodiment, the energy-saving scheduling system in this embodiment may further include:
the peak regulation cost calculation module is used for respectively calculating the initial depth peak regulation cost and the depth peak regulation cost of the coal-fired unit according to the initial peak regulation demand and the peak regulation demand;
and the number determination module of the newly added gas units is used for determining the number of the newly added gas units by utilizing the initial deep peak shaving cost, the deep peak shaving cost and the starting and stopping cost of each single gas unit.
Based on the foregoing embodiment, the module for determining the number of newly added gas turbine groups in this embodiment generally includes:
a peak shaving cost increment obtaining unit, configured to perform a difference operation on the initial depth peak shaving cost and the depth peak shaving cost to obtain a peak shaving cost increment;
the accumulation and acquisition unit is used for sequentially accumulating the start-stop costs of the single gas turbine units from low to high to obtain the accumulation sum;
and the newly added gas unit quantity determining unit is used for determining the maximum quantity of the gas units of which the accumulated sum does not exceed the peak shaving cost increment as the quantity of the newly added gas units.
The present application further provides an apparatus comprising: a memory and a processor; wherein the memory is used for storing a computer program, and the processor is used for implementing the steps of the energy-saving scheduling method of any of the above embodiments when executing the computer program.
The present application further provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the steps of the energy-saving scheduling method of any of the above embodiments are implemented.
The computer-readable storage medium may include: 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.
The embodiments are described in a progressive manner in the specification, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. For the system provided by the embodiment, the description is relatively simple because the system corresponds to the method provided by the embodiment, and the relevant points can be referred to the method part for description.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The energy-saving scheduling method, system, device and computer-readable storage medium provided by the present application are described in detail above. The principles and embodiments of the present application are explained herein using specific examples, which are provided only to help understand the method and the core idea of the present application. It should be noted that, for those skilled in the art, it is possible to make several improvements and modifications to the present application without departing from the principle of the present application, and such improvements and modifications also fall within the scope of the claims of the present application.

Claims (6)

1. An energy-saving scheduling method, comprising:
performing difference operation on the initial peak regulation demand and the peak regulation demand of the gas turbine set in the starting and stopping time period to obtain the peak regulation demand;
according to the peak shaving requirement, executing energy-saving scheduling operation by using a preset energy-saving scheduling model; the preset energy-saving scheduling model is restricted to the output change state of the gas turbine set during the starting and stopping period;
further comprising:
respectively calculating the initial depth peak regulation cost and the depth peak regulation cost of the coal-fired unit according to the initial peak regulation demand and the peak regulation demand;
determining the number of newly added gas turbine units by using the initial deep peak shaving cost, the deep peak shaving cost and the start-stop cost of each single gas turbine unit;
the determining the number of the newly added gas units by using the initial depth peak regulation cost, the depth peak regulation cost and the start-stop cost of each single gas unit comprises the following steps:
performing difference operation on the initial depth peak-shaving cost and the depth peak-shaving cost to obtain a peak-shaving cost increment;
after the start-stop costs of the single gas turbine units are sequenced from low to high, the start-stop costs are sequentially accumulated to obtain an accumulated sum;
and determining the maximum number of the gas units of which the accumulated sum does not exceed the peak shaving cost increment as the number of the newly increased gas units.
2. The energy-saving scheduling method according to claim 1, wherein the performing energy-saving scheduling operation using a preset energy-saving scheduling model according to the peak shaving requirement includes:
constructing an initial energy-saving scheduling model according to the operation cost of the coal-fired unit and the operation cost of the gas unit;
determining the output change state of the gas turbine set during the start-stop period as the value range of the generated power in the initial energy-saving scheduling model during the start-stop period, and obtaining the preset energy-saving scheduling model;
and executing the energy-saving scheduling operation by utilizing the preset energy-saving scheduling model according to the peak shaving requirement.
3. An energy-saving scheduling system, comprising:
the difference operation module is used for carrying out difference operation on the initial peak regulation demand and the peak regulation demand of the gas turbine set in the starting and stopping time period to obtain the peak regulation demand;
the energy-saving scheduling operation execution module is used for executing energy-saving scheduling operation by utilizing a preset energy-saving scheduling model according to the peak shaving requirement; the preset energy-saving scheduling model is restricted to the output change state of the gas turbine set during the starting and stopping period;
further comprising:
the peak regulation cost calculation module is used for respectively calculating the initial depth peak regulation cost and the depth peak regulation cost of the coal-fired unit according to the initial peak regulation demand and the peak regulation demand;
the newly increased gas turbine set number determining module is used for determining the number of the newly increased gas turbine sets by utilizing the initial deep peak shaving cost, the deep peak shaving cost and the starting and stopping cost of each single gas turbine set;
newly-increased gas unit quantity confirms the module, includes:
a peak shaving cost increment obtaining unit, configured to perform a difference operation on the initial depth peak shaving cost and the depth peak shaving cost to obtain a peak shaving cost increment;
the accumulation and acquisition unit is used for sequentially accumulating the start-stop costs of the single gas turbine units from low to high to obtain an accumulation sum;
and the newly increased gas unit quantity determining unit is used for determining the maximum quantity of the gas units of which the accumulated sum does not exceed the peak shaving cost increment as the quantity of the newly increased gas units.
4. The energy-saving scheduling system of claim 3 wherein the energy-saving scheduling operation executing module comprises:
the initial energy-saving scheduling model building unit is used for building an initial energy-saving scheduling model according to the operation cost of the coal-fired unit and the operation cost of the gas unit;
a preset energy-saving scheduling model obtaining unit, configured to determine an output change state of the gas turbine unit during a start-stop period as a value range of the generated power in the initial energy-saving scheduling model during the start-stop period, and obtain the preset energy-saving scheduling model;
and the energy-saving scheduling operation executing unit is used for executing the energy-saving scheduling operation by utilizing the preset energy-saving scheduling model according to the peak shaving requirement.
5. An apparatus, comprising:
a memory and a processor; wherein the memory is adapted to store a computer program and the processor is adapted to carry out the steps of the energy-saving scheduling method according to claim 1 or 2 when executing the computer program.
6. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which, when executed by a processor, implements the steps of the energy-saving scheduling method of claim 1 or 2.
CN201910250000.XA 2019-03-29 2019-03-29 Energy-saving scheduling method, system, equipment and computer readable storage medium Active CN109755970B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910250000.XA CN109755970B (en) 2019-03-29 2019-03-29 Energy-saving scheduling method, system, equipment and computer readable storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910250000.XA CN109755970B (en) 2019-03-29 2019-03-29 Energy-saving scheduling method, system, equipment and computer readable storage medium

Publications (2)

Publication Number Publication Date
CN109755970A CN109755970A (en) 2019-05-14
CN109755970B true CN109755970B (en) 2022-01-25

Family

ID=66409408

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910250000.XA Active CN109755970B (en) 2019-03-29 2019-03-29 Energy-saving scheduling method, system, equipment and computer readable storage medium

Country Status (1)

Country Link
CN (1) CN109755970B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112610289B (en) * 2020-11-18 2023-03-03 国电南瑞南京控制***有限公司 Unit scheduling method and system considering unit tri-state start-stop process

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106845797A (en) * 2016-12-28 2017-06-13 广东电网有限责任公司电力调度控制中心 One kind is based on two stage monthly Unit Combination method and system
CN107276122A (en) * 2017-06-26 2017-10-20 国网能源研究院 Adapt to the grid-connected peak regulation resource transfer decision-making technique of extensive regenerative resource
CN108846507A (en) * 2018-05-29 2018-11-20 西安交通大学 Electric-gas coupled system based on MIXED INTEGER Second-order cone programming economic load dispatching method a few days ago
CN109284878A (en) * 2018-11-26 2019-01-29 武汉大学 A kind of multi-source Optimization Scheduling for considering wind-powered electricity generation, nuclear power, water-storage and coordinating

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106845797A (en) * 2016-12-28 2017-06-13 广东电网有限责任公司电力调度控制中心 One kind is based on two stage monthly Unit Combination method and system
CN107276122A (en) * 2017-06-26 2017-10-20 国网能源研究院 Adapt to the grid-connected peak regulation resource transfer decision-making technique of extensive regenerative resource
CN108846507A (en) * 2018-05-29 2018-11-20 西安交通大学 Electric-gas coupled system based on MIXED INTEGER Second-order cone programming economic load dispatching method a few days ago
CN109284878A (en) * 2018-11-26 2019-01-29 武汉大学 A kind of multi-source Optimization Scheduling for considering wind-powered electricity generation, nuclear power, water-storage and coordinating

Also Published As

Publication number Publication date
CN109755970A (en) 2019-05-14

Similar Documents

Publication Publication Date Title
CN107153885B (en) Real-time power generation plan optimization method considering deep peak shaving of thermal power generating unit
CN107276122B (en) Peak-shaving resource calling decision method suitable for large-scale renewable energy grid connection
CN109325621B (en) Park energy internet two-stage optimal scheduling control method
CN108133104B (en) Long-term cross-basin multi-ladder-level hydropower optimization operation simulation method
Zhao et al. Optimal operation of compressor units in gas networks to provide flexibility to power systems
CN113538066B (en) Control method, system, equipment and medium for virtual power plant to participate in power market
CN106684928B (en) Power grid peak regulation margin calculation method based on peak regulation cost
CN112910013A (en) Unit optimization scheduling method considering 'deep peak regulation absorption-coal consumption' combined constraint
CN109755970B (en) Energy-saving scheduling method, system, equipment and computer readable storage medium
JP2014180134A (en) Power management system, and power management method
CN106655153B (en) The Unit Commitment model and its method for building up of two class state variables
CN114444785A (en) Deep scheduling method and system for deep peak shaving of coal-fired unit
Hu et al. Distributionally robust optimization for generation expansion planning considering virtual inertia from wind farms
CN111222717B (en) Method for optimizing and scheduling in thermal power plant containing multi-type heat supply units and thermoelectric decoupling equipment
CN116760025B (en) Risk scheduling optimization method and system for electric power system
CN110307186B (en) Method, device, server and storage medium for predicting washing time of gas compressor
CN114583766B (en) Wind power consumption-oriented low-carbon operation scheduling method for offshore oil and gas platform energy system
CN109617130B (en) Method for calculating reserve capacity of wind power cluster participating in power system frequency modulation
CN111564873A (en) Integrated gas-electric energy system optimization method considering unit start and stop
CN114781866B (en) Robust intra-day rolling scheduling method for comprehensive energy system based on data driving
CN116029097A (en) Economic-energy efficiency scheduling method considering uncertainty wind power access inertia safety
CN114971069A (en) Power system interval optimization scheduling method considering source load uncertainty and frequency safety
CN109038623B (en) Valley filling method and device for pumped storage power station and storage medium
JP4855112B2 (en) Cogeneration system operation planning device and operation planning method, program thereof, cogeneration system
CN113011714A (en) Combined configuration method and system for cogeneration unit

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant