CN114884135A - Day-ahead coordination control method suitable for regional level source network load storage - Google Patents

Day-ahead coordination control method suitable for regional level source network load storage Download PDF

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CN114884135A
CN114884135A CN202210597987.4A CN202210597987A CN114884135A CN 114884135 A CN114884135 A CN 114884135A CN 202210597987 A CN202210597987 A CN 202210597987A CN 114884135 A CN114884135 A CN 114884135A
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resource
constraint
adjustable
power
regional
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于天一
甄庆
周昊兵
王刚
王梓
王磊
赵帅
宋海涛
张�杰
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State Grid Corp of China SGCC
State Grid Tianjin Electric Power Co Ltd
Binhai Power Supply Co of State Grid Tianjin Electric Power Co Ltd
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State Grid Corp of China SGCC
State Grid Tianjin Electric Power Co Ltd
Binhai Power Supply Co of State Grid Tianjin Electric Power Co Ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • Y—GENERAL 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
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS 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
    • Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/20—End-user application control systems
    • Y04S20/222—Demand response systems, e.g. load shedding, peak shaving

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Abstract

The invention discloses a pre-day coordination control method suitable for regional source network load storage, which comprises the following steps: acquiring related information; obtaining an optimization model: the optimization model takes reduction of load peak-valley difference of regional power grids as an optimization target, takes relevant constraint conditions into consideration, reserves and adjusts adjustable resources for standby according to proportion, takes adjustment cost of the adjustable resources into consideration, sets a weight coefficient and reduces adjustment amount of the adjustable resources; and acquiring relevant information on the day (D-1), solving an optimization model, and optimizing to generate each adjustable resource operation curve with the granularity of 15 minutes on the day D or generating a regional resource aggregation operation curve with the granularity of 15 minutes on the day D. Under the condition of meeting various constraint conditions, the method fully utilizes various adjustable resources to carry out peak clipping and valley filling, and reduces the peak-valley difference of the regional power grid; meanwhile, various adjustable resources and the conventional unit are considered to be coordinated and controlled, unnecessary adjustment actions of the conventional unit are reduced, and the standby capacity of the system and the operation economy of a regional power grid are improved.

Description

Day-ahead coordination control method suitable for regional level source network load storage
Technical Field
The invention relates to the field of power system automation, in particular to the field of research on source network load storage coordination control technology, and particularly relates to a day-ahead coordination control method suitable for regional source network load storage.
Background
In recent years, with the rapid development of various new energy, electric vehicles and other industries, especially, the problems that the load characteristics of a regional power grid are changed greatly due to the fact that novel energy supply equipment such as a large-scale distributed power supply and an electric vehicle is connected, the peak-valley difference of the regional power grid is increased continuously, the peak regulation is difficult due to tidal current fluctuation and the like are highlighted.
The traditional scheduling mode of 'source follow-up load movement' is basically adopted in current power grid scheduling, only centralized power generation and power grid are scheduled, load and energy storage are not brought into the scheduling category, and contradiction between load characteristics and peak load regulation requirements is difficult to relieve. Under the background of energy internet construction, energy storage, electric vehicles and elastic loads (building air conditioners, electric heating and the like) are required to be utilized to carry out unified optimization control.
Under the background, a feasible route for optimizing the load structure and the power flow distribution of the power grid by flexibly scheduling the peripheral nerves of the power grid needs to be explored. And calculating the adjustment cost according to the condition of the adjustable resources, optimizing the output curve of the adjustable resources based on the safety constraint of the regional power grid, optimizing the power flow of the regional power grid and realizing the economic operation of the regional power grid.
For the main network, the provincial dispatching utilizes a power generation planning program to compile and regulate a conventional unit planning curve. The regional day-ahead coordination strategy is applied to the purpose of reducing the peak-valley difference of the power grid by optimizing the power generation and utilization power curve of the adjustable resources according to the condition of the adjustable resources and aiming at the customer perception degree and the economic optimization based on the power grid safety constraint. However, the regional power grid still has a blank in the aspect of real-time coordination control of source grid load storage due to insufficient resource and means for regulation.
Disclosure of Invention
The invention aims to make up for the defects of the prior art and provides a day-ahead coordinated control method suitable for regional level source grid load storage, which fully utilizes various adjustable resources to carry out peak clipping and valley filling, can reduce the peak-valley difference of a regional power grid, simultaneously considers the coordinated control of various adjustable resources and a conventional unit, can reduce unnecessary adjustment actions of the conventional unit, and further improves the system spare capacity and the regional power grid operation economy.
In order to solve the technical problems, the invention adopts the following technical scheme:
in a first aspect, the present invention provides a method for pre-day coordination control of regional source network load storage, which is applicable to non-market situations, and comprises the following steps:
acquiring related information; the related information comprises load prediction in a regional power grid system, load prediction of each transformer substation bus, new energy power generation prediction, a basic operation curve declared by each adjustable resource and the adjustable capacity condition of each adjustable resource;
obtaining an optimization model; the optimization model takes reduction of regional power grid load peak-valley difference as an optimization target, takes adjustable resource operation constraint, power grid safety constraint, practical constraint and managerial constraint as constraint conditions, and reserves and adjusts adjustable resources for standby in proportion; meanwhile, the adjustment cost of the adjustable resources is considered, the weight coefficient is set, and the adjustment amount of the adjustable resources is reduced;
and acquiring the relevant information on the (D-1) day, solving the optimization model based on the relevant information, and optimizing to generate each adjustable resource operation curve with the granularity of 15 minutes on the D day or optimizing to generate a regional resource aggregation operation curve with the granularity of 15 minutes on the D day.
Further, the method comprises the following steps: and after the provincial dispatching is adjusted, the local dispatching receives the adjusted regional resource aggregation operation curve issued by the provincial dispatching, and the adjusted regional resource aggregation operation curve is decomposed to each adjustable resource by taking the constraint condition (the constraint condition is adjustable resource operation constraint, power grid safety constraint, practical constraint and business constraint) into consideration with the minimum adjustment cost.
Further, the optimization model adopts a segmented optimization method, the optimization target in the peak time period is the maximization of net power supply electric power, the optimization target in the peak time period is the minimum of the total deviation of the optimized electric power and the resource side declared electric power, and the optimization target in the valley time period is the maximization of net power utilization electric power; in the optimization model, the power utilization type power symbol is "+", and the power generation type power symbol is "-";
the optimization model is as follows:
Figure BDA0003668569040000021
in the formula: minF is a target value of peak-valley difference of the power grid in the whole day area; n is the total number of regional adjustable resources; p (i, t) is the operating power of the regional adjustable resource i after optimization at the time period t, p bid (i, t) reporting running power of the regional adjustable resource i in the time period t.
Further, the adjustable resource operation constraints include an adjustable resource operation range constraint, an adjustable resource load adjustment rate constraint, an energy storage charge-discharge capacity constraint and an adjustable resource adjustment standby constraint, and specifically include the following:
the adjustable resource operation range constraint is as follows:
p i,min u(i,t)≤p(i,t)≤p i,max u(i,t)
in the formula: p is a radical of i,min 、p i,max Respectively representing the active minimum value and the active maximum value of the adjustable resource i; u (i, t) is the running state of the adjustable resource i in the time period t, 1 represents running, and 0 represents outage;
the adjustable resource load adjustment rate constraint is as follows:
-Δ i ≤p i (t)-p i (t-1)≤Δ i
in the formula: - Δ i The minimum value of the load which can be increased or decreased in each time interval is the adjustable resource i; delta i The maximum value of the load can be increased or decreased for each time interval of the adjustable resource i; p is a radical of i (t) the active power of the adjustable resource i at the moment t; p is a radical of i (t-1) adjusting the active power of the resource i at the t-1 moment;
the energy storage charging and discharging capacity constraint is as follows:
Figure BDA0003668569040000022
in the formula: i represents the ith energy storage unit in the adjustable resource; n represents the number of continuous charge and discharge periods; e represents an upper limit of a single continuous charge-discharge amount;
the adjustable resource adjustment standby constraint is:
Figure BDA0003668569040000023
i r′(t)≥ i g r
in the formula:
Figure BDA0003668569040000024
providing an up-regulation standby for the adjustable resource i at t; i r′(t) providing a down-regulation standby for the adjustable resource i at t;
Figure BDA0003668569040000025
an upper limit for up-regulation available for the adjustable resource i; i g rlower standby limits are set down for the tunable resource i can provide.
Furthermore, grouping is carried out according to the distribution characteristics of the adjustable resources and the power grid structure, each group of adjustable resources is defined as a resource cluster, and constraint management is carried out by taking the resource cluster as a unit so as to ensure the safety of related branches and section flows;
the power grid safety constraint comprises a resource cluster power constraint and a cluster regulation standby constraint, and specifically comprises the following steps:
the resource cluster power constraint is:
Figure BDA0003668569040000031
in the formula: i represents a resource cluster;H(t)、
Figure BDA0003668569040000032
respectively representing the lower limit constraint and the upper limit constraint of the total output of the adjustable resources in the cluster;
the cluster adjustment standby constraint is:
Figure BDA0003668569040000033
Figure BDA0003668569040000034
in the formula: i represents a resource cluster;
Figure BDA0003668569040000035
g r(t)representing the cluster up-standby constraint and down-standby constraint;
the cluster adjustment backup constraints are used for some heavy-load sections involved in the real-time coordination strategy, and adjustment margins reserved in advance when a safety correction mode is started are considered.
Further, the practical constraints include a single adjustable resource fixed power constraint and a regional source grid load storage integral fixed power constraint, which are as follows:
the single adjustable resource fixed power constraint: the adjustable resource operates according to a given power generation and utilization curve in a specific time period, and the adjustable resource does not participate in optimization calculation in the specific time period, so that the fixed power constraint of the single adjustable resource is set based on the operating requirements of the power grid and the adjustable resource;
the single adjustable resource fixed power constraint is:
p(i,t)＝P(i,t)
in the formula: p (i, t) represents the output set value of the adjustable resource i in the time period t;
the integral fixed power constraint of the area source network load storage is as follows: the method comprises the following steps that the whole area source network load storage operates according to a given operating curve in a specific time period, and is suitable for the condition that a provincial dispatching assigns a regional resource aggregation operating curve, the whole area source network load storage fixed power constraint is usually relaxed in the first round of planning, the whole area source network load storage fixed power constraint is started after a provincial dispatching feedback adjustment plan, if the provincial dispatching modifies the regional dispatching curve, the total amount is considered to be incapable of exceeding the plan value of provincial dispatching feedback when the regional dispatching redistributes each adjustable resource operating curve, and therefore the whole area source network load storage fixed power constraint is set based on the requirements of a power grid and the operation of adjustable resources;
the integral fixed power constraint of the area source network load storage is as follows:
Figure BDA0003668569040000036
in the formula: p t (i, t) represents the output set value of the total output of the source net load storage in the time period t.
Further, the business constraints include electric quantity constraints, which are as follows:
the electric quantity constraint is as follows:
Figure BDA0003668569040000037
in the formula:E(T)、
Figure BDA0003668569040000038
respectively representing the lower limit constraint and the upper limit constraint of the total electric quantity of the adjustable resource i in the scheduling period T.
In a second aspect, the present invention provides another method for pre-day coordination control of regional source network load storage, which is suitable for market scenarios, and includes the following steps:
if the region adjustable resources participate in the auxiliary service market of the province, the market main body is a source network charge and storage polymer of the region; reporting the operation condition and the adjustable potential according to each polymerization resource next day in the day, performing safety check through a day-ahead coordination strategy, directly reporting through a provincial dispatching market technology support system if the check result is qualified, and reporting through the provincial dispatching market technology support system after safety constraint is considered according to market rules and adjusted by a local dispatching way if the check result is unqualified;
after the market is cleared in the day, if the issued clear power curve changes compared with the reported curve, the clear power curve is led into a power generation planning module, and then secondary distribution is carried out from the local dispatching according to the market rules and considering the safety constraint, so that the adjustment of the day-ahead running curve of each adjustable resource is completed.
Compared with the prior art, the invention has the beneficial effects that:
1. the method provided by the invention fully utilizes various adjustable resources to carry out peak clipping and valley filling, and can reduce the peak-valley difference of the regional power grid;
2. the method provided by the invention considers the coordination control of various adjustable resources and the conventional unit, can reduce unnecessary adjustment actions of the conventional unit, and further improves the system standby capacity and the regional power grid operation economy;
3. the method provided by the invention can be oriented to two situations of participating in an auxiliary service market (market situation) or not participating in the market (non-market situation), and two modes of provincial and local coordination control and local control are considered, so that the related requirements of different scenes can be met;
4. the method provided by the invention is based on the existing equipment of the regional scheduling master station, and does not need to additionally increase software and hardware;
5. the method provided by the invention has a profound significance for promoting the development of social economy and improving the production level.
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In order that the advantages of the invention will be readily understood, a more particular description of the invention briefly described above will be rendered by reference to specific embodiments that are illustrated in the appended drawings. Understanding that these drawings depict only typical embodiments of the invention and are not therefore to be considered to be limiting of its scope, the invention will be described and explained with additional specificity and detail through the use of the accompanying drawings.
Fig. 1 is a data flow chart of the day-ahead coordination strategy in the provincial-local coordination mode of the present invention.
Detailed Description
In the following description, numerous specific details are set forth in order to provide a more thorough understanding of the present invention. It will be apparent, however, to one skilled in the art, that embodiments of the invention may be practiced without one or more of these specific details. In other instances, well-known features have not been described in detail so as not to obscure the embodiments of the invention.
In the following description, a detailed structure will be presented for a thorough understanding of embodiments of the invention. It is apparent that the implementation of the embodiments of the present invention is not limited to the specific details familiar to those skilled in the art. The following detailed description of preferred embodiments of the invention, however, the invention is capable of other embodiments in addition to those detailed.
Embodiments of the invention are described in further detail below with reference to the accompanying drawings:
as shown in fig. 1, an embodiment of the present invention provides a method for pre-day coordination control of regional source network load storage, where the method is designed with two operation modes, namely a local control mode and a provincial-local coordination mode. And (3) setting an equivalent virtual generator (power generation can be carried out, and the adjustable capacity is time-varying) on the regional aggregated adjustable resource according to a pumped storage power plant or gas power plant model by the provincial dispatching power generation planning program. Under the provincial and local coordination mode, the local dispatching determines the operation modes of the energy storage and adjustable load and other adjustable resources and reports the provincial dispatching, the provincial dispatching determines whether to adjust the operation curves of the adjustable resources after overall evaluation of the whole network condition, and the operation modes of the conventional unit are arranged by taking the final operation curves of the adjustable resources as boundaries.
Example 1
In the local control mode, the embodiment provides a method for pre-day coordination control of regional source network load storage, which is applicable to non-market situations, and specifically includes the following steps:
s1, acquiring related information; the related information comprises load prediction in a regional power grid system, load prediction of each substation bus, new energy power generation prediction, basic operation curves declared by each adjustable resource and adjustable capacity conditions of each adjustable resource.
S2, obtaining an optimization model; the optimization model takes reduction of regional power grid load peak-valley difference as an optimization target, takes adjustable resource operation constraint, power grid safety constraint, practical constraint and managerial constraint as constraint conditions, and reserves and adjusts the adjustable resources for standby in proportion; meanwhile, the adjustment cost of the adjustable resources is considered, the weight coefficient is set, and the adjustment amount of the adjustable resources is reduced as much as possible.
In the embodiment, the optimization model takes the minimum peak-to-valley difference of the regional power grid as an optimization target, and peak-to-valley level attributes of 96 points are predefined. The optimization model adopts a segmented optimization method, the optimization target in the peak time period is the maximum net power supply power, the optimization target in the peak time period is the minimum total deviation of the optimized power and the resource side declared power, and the optimization target in the valley time period is the maximum net power utilization power; in the optimization model, the electricity-using power symbol is "+" and the electricity-generating power symbol is "-".
The optimization model is as follows:
Figure BDA0003668569040000051
in the formula: minF is a target value of peak-valley difference of the power grid in the whole day area; n is the total number of regional adjustable resources; p (i, t) is the operating power of the area-adjustable resource i after optimization at the time t, p bid (i, t) reporting running power of the regional adjustable resource i in the time period t.
In this embodiment, in order to meet the optimization goal of minimum peak-to-valley difference of the regional power grid, the peak-to-valley difference should be adjusted by considering the local source, load, and storage characteristics under the condition of meeting the conventional constraint conditions, and the following constraint conditions are considered in the operation process: adjustable resource operation constraints, grid security constraints, pragmatization constraints, and managerial constraints.
In this embodiment, the adjustable resource operation constraint includes an adjustable resource operation range constraint, an adjustable resource load adjustment rate constraint, an energy storage charge/discharge capacity constraint, and an adjustable resource adjustment standby constraint, which are specifically as follows:
the adjustable resource operating range constraints are:
p i,min u(i,t)≤p(i,t)≤p i,max u(i,t)
in the formula: p is a radical of i,min 、p i,max Respectively representing the active minimum value and the active maximum value of the adjustable resource i; u (i, t) is the operating state of the tunable resource i during the time period t, with 1 indicating operation and 0 indicating shutdown.
The adjustable resource load adjustment rate constraint is:
-Δ i ≤p i (t)-p i (t-1)≤Δ i
in the formula: - Δ i The minimum value of the load which can be increased or decreased in each time interval is the adjustable resource i; delta i The maximum value of the load can be increased or decreased for each time interval of the adjustable resource i; p is a radical of i (t) the active power of the adjustable resource i at the moment t; p is a radical of i And (t-1) adjusting the active power of the resource i at the time t-1.
The energy storage charge-discharge capacity constraint is as follows:
Figure BDA0003668569040000052
in the formula: i represents the ith energy storage unit in the adjustable resource; n represents the number of continuous charge and discharge periods; and E represents an upper limit of a single continuous charge-discharge amount.
The adjustable resource adjustment standby constraints are:
Figure BDA0003668569040000053
i r′(t)≥ i g r
in the formula:
Figure BDA0003668569040000054
providing an up-regulation standby for the adjustable resource i at t; i r′(t) providing a down-regulation standby for the adjustable resource i at t;
Figure BDA0003668569040000055
an upper limit for up-regulation available for the adjustable resource i; i g rlower standby limits are set down for the tunable resource i can provide.
In this embodiment, the adjustable resources are grouped according to the distribution characteristics of the adjustable resources and the power grid structure, each group of adjustable resources is defined as a resource cluster, and constraint management is performed by taking the resource cluster as a unit, so as to ensure the safety of related branches and section flows; aiming at the characteristic that a regional power grid usually mainly adopts a radiation type power grid structure, a plurality of resource clusters are established by taking a 110kV or 35kV main transformer as an object, adjustable resources distributed under the main transformer have high coupling performance, and the local power grid constraint is ensured to be met by controlling the electric power of the resource clusters, so that the problem of the safety of the power grid such as the thermal stability of a circuit or a transformer is avoided.
The power grid safety constraint comprises resource cluster power constraint and cluster regulation standby constraint, and specifically comprises the following steps:
the resource cluster power constraint is as follows:
Figure BDA0003668569040000061
in the formula: i represents a resource cluster;H(t)、
Figure BDA0003668569040000062
respectively representing the lower limit of the total output of the adjustable resources in the clusterBundle and upper bound constraints.
The cluster adjustment standby constraint is:
Figure BDA0003668569040000063
Figure BDA0003668569040000064
in the formula: i represents a resource cluster;
Figure BDA0003668569040000065
g r(t)indicating the cluster up-standby constraint and down-standby constraint.
The cluster adjustment backup constraint is to be used for some heavy load sections involved in the real-time coordination strategy, for which adjustment margins reserved in advance when the safety correction mode is enabled are considered.
In this embodiment, the practical constraint is that when the actual power grid scheduling operation is considered, configured constraint conditions can be selected according to the characteristics of the power grid operation, and such conditions are set based on the requirements of the power grid and the operation of the adjustment resources.
The practical constraint comprises single adjustable resource fixed power constraint and regional source network load storage integral fixed power constraint, and specifically comprises the following steps:
single adjustable resource fixed power constraint: the adjustable resource operates according to a given power generation and utilization curve in a specific time period, and the adjustable resource does not participate in optimization calculation in the specific time period, so that a single adjustable resource fixed power constraint is set based on the operating requirements of the power grid and the adjustable resource.
The single adjustable resource fixed power constraint is:
p(i,t)＝P(i,t)
in the formula: p (i, t) represents the output set value of the tunable resource i during the time period t.
And (3) area source network load storage integral fixed power constraint: the integral load storage of the regional source network operates according to a given operating curve in a specific time period, and is suitable for the condition of issuing a regional resource aggregation operating curve by provincial dispatching.
The integral fixed power constraint of the regional source network load storage is as follows:
Figure BDA0003668569040000066
in the formula: p t (i, t) represents the output set value of the total output of the source net load storage in the time period t.
In this embodiment, the manageability constraint is a constraint condition to be considered under a specific scheduling mode or under specific natural and social conditions, and the constraint conditions are determined according to actual conditions of different occasions. Taking the power constraint as an example, consider the case that some adjustable resources may have medium and long term trade contracts.
The electric quantity constraint is as follows:
Figure BDA0003668569040000071
in the formula:E(T)、
Figure BDA0003668569040000072
respectively representing the lower limit constraint and the upper limit constraint of the total electric quantity of the adjustable resource i in the scheduling period T.
And S3, acquiring the relevant information on the day (D-1), solving the optimization model based on the relevant information, and optimizing to generate each adjustable resource operation curve with the granularity of 15 minutes on the day D.
S4, result publishing: after obtaining each adjustable resource operation curve (operation curve of 96 points before each adjustable resource day) with the granularity of 15 minutes on D day according to the method, issuing the result to an Automatic Gain Control (AGC) module of local adjustment and issuing the result to each adjustable resource; and simultaneously outputting the collected 96-point total adding curve to an E file to report the province tone through a message mail system.
Example 2
In the provincial and regional coordination mode, the embodiment provides another method for pre-date coordination control of regional source network load storage, which is suitable for non-market situations, and the first two steps in the method provided by the embodiment are consistent with step S1 and step S2 in embodiment 1, and are not described again here. The following mainly describes the steps of this embodiment different from those of embodiment 1 in detail.
The embodiment provides another pre-date coordination control method suitable for regional source network load storage, which further comprises the following steps:
and S3, acquiring relevant information on day (D-1), solving an optimization model based on the relevant information, and optimizing to generate a regional resource aggregation operation curve with granularity of 15 minutes on day D.
And S4, reporting the D-day 15-minute-granularity regional resource aggregation operation curve to the provincial dispatching after safety check, and receiving the adjusted regional resource aggregation operation curve issued by the provincial dispatching after provincial dispatching adjustment by the local dispatching to decompose the adjusted regional resource aggregation operation curve to each adjustable resource by taking the minimum adjustment cost as a target and considering constraint conditions (the constraint conditions comprise adjustable resource operation constraint, power grid safety constraint, practical constraint and business constraint).
Example 3
The embodiment provides another pre-day coordination control method suitable for regional source network load storage, which is suitable for market situations and comprises the following steps:
if the region adjustable resources participate in the auxiliary service market of the province, the market main body is a source network charge and storage polymer of the region; and reporting the operation condition and the adjustable potential according to each polymerization resource next day in the day, performing safety check through a day-ahead coordination strategy, directly reporting through a provincial dispatching market technical support system if the check result is qualified, and reporting through the provincial dispatching market technical support system after safety constraint is considered according to market rules and adjusted according to the ground if the check result is unqualified.
After the market is cleared in the day, if the issued clear power curve changes compared with the reported curve, the clear power curve is led into a power generation planning module, and then secondary distribution is carried out from the local dispatching according to the market rules and considering the safety constraint, so that the adjustment of the day-ahead running curve of each adjustable resource is completed.
And finally distributing the income obtained by the source network load storage aggregate participating in the peak shaving market to each adjustable resource operator according to corresponding rules.
The invention discloses a day-ahead coordination control method suitable for regional level source grid load storage, which fully utilizes various adjustable resources such as a centralized new energy station, a centralized energy storage power station, a virtual power plant, distributed energy storage, a charging pile, a flexible load and the like to carry out peak clipping and valley filling under the condition of meeting various constraint conditions, and reduces the peak-valley difference of a regional power grid. Meanwhile, various adjustable resources and the conventional unit are considered to be coordinated and controlled, unnecessary adjustment actions of the conventional unit are reduced, and the standby capacity of the system and the operation economy of a regional power grid are improved. The method disclosed by the invention has a very profound significance for promoting the development of social economy and improving the production level.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In summary, the present invention is not limited to the above-mentioned embodiments, and those skilled in the art can propose other embodiments within the technical teaching of the present invention, but these embodiments are included in the scope of the present invention.

Claims (8)

1. A day-ahead coordination control method suitable for regional source network load storage is characterized in that the method is suitable for non-market situations and comprises the following steps:
acquiring related information; the related information comprises load prediction in a regional power grid system, bus load prediction of each transformer substation, new energy power generation prediction, basic operation curves declared by each adjustable resource and adjustable capacity conditions of each adjustable resource;
obtaining an optimization model; the optimization model takes reduction of regional power grid load peak-valley difference as an optimization target, takes adjustable resource operation constraint, power grid safety constraint, practical constraint and managerial constraint as constraint conditions, and reserves and adjusts adjustable resources for standby in proportion; meanwhile, the adjustment cost of the adjustable resources is considered, the weight coefficient is set, and the adjustment amount of the adjustable resources is reduced;
and acquiring the relevant information on the (D-1) day, solving the optimization model based on the relevant information, and optimizing to generate each adjustable resource operation curve with the granularity of 15 minutes on the D day or optimizing to generate a regional resource aggregation operation curve with the granularity of 15 minutes on the D day.
2. The method of claim 1, further comprising the steps of: and reporting the D-day 15-minute-granularity regional resource aggregation operation curve to the provincial dispatching after safety check, receiving the adjusted regional resource aggregation operation curve issued by the provincial dispatching by the local dispatching after provincial dispatching adjustment, and decomposing the adjusted regional resource aggregation operation curve to each adjustable resource by taking the constraint condition into consideration with the minimum adjustment cost as a target.
3. The method according to claim 1 or 2, wherein the optimization model adopts a piecewise optimization method, the peak time optimization target is that net power supply power is maximized, the peak time optimization target is that total deviation of the optimized power and the resource-side declared power is minimum, and the valley time optimization target is that net power utilization power is maximized; in the optimization model, the power utilization type power symbol is "+", and the power generation type power symbol is "-";
the optimization model is as follows:
Figure FDA0003668569030000011
in the formula: minF is a target value of peak-valley difference of the power grid in the whole day area; n is the total number of regional adjustable resources; p (i, t) is the operating power of the area-adjustable resource i after optimization at the time t, p bid (i, t) reporting running power of the regional adjustable resource i in the time period t.
4. The method of claim 3, wherein the adjustable resource operating constraints comprise an adjustable resource operating range constraint, an adjustable resource load adjustment rate constraint, an energy storage charge-discharge capacity constraint, and an adjustable resource adjustment standby constraint, as follows:
the adjustable resource operation range constraint is as follows:
p i,min u(i,t)≤p(i,t)≤p i,max u(i,t)
in the formula: p is a radical of i,min 、p i,max Respectively representing the active minimum value and the active maximum value of the adjustable resource i; u (i, t) is the running state of the adjustable resource i in the time period t, 1 represents running, and 0 represents outage;
the adjustable resource load adjustment rate constraint is as follows:
-Δ i ≤p i (t)-p i (t-1)≤Δ i
in the formula: - Δ i The minimum value of the load which can be increased or decreased in each time interval is the adjustable resource i; delta i The maximum value of the load can be increased or decreased for each time interval of the adjustable resource i; p is a radical of i (t) the active power of the adjustable resource i at the moment t; p is a radical of i (t-1) adjusting the active power of the resource i at the t-1 moment;
the energy storage charging and discharging capacity constraint is as follows:
Figure FDA0003668569030000021
in the formula: i represents the ith energy storage unit in the adjustable resource; n represents the number of continuous charge and discharge periods; e represents an upper limit of a single continuous charge-discharge amount;
the adjustable resource adjustment standby constraint is:
Figure FDA0003668569030000022
i r′(t)≥ i g r
in the formula:
Figure FDA0003668569030000023
providing an up-regulation standby for the adjustable resource i at t; i r' (t) is a down reserve provided by the tunable resource i at t;
Figure FDA0003668569030000024
an upper limit for up-regulation available for the adjustable resource i; i g rlower standby limits are set down for the tunable resource i can provide.
5. The method according to claim 3, characterized in that the adjustable resources are grouped according to the distribution characteristics of the adjustable resources and the structure of the power grid, each group of adjustable resources is defined as a resource cluster, and constraint management is performed by taking the resource cluster as a unit so as to ensure the safety of related branch and section flows;
the power grid safety constraint comprises a resource cluster power constraint and a cluster regulation standby constraint, and specifically comprises the following steps:
the resource cluster power constraint is:
Figure FDA0003668569030000025
in the formula: i represents a resource cluster;H(t)、
Figure FDA0003668569030000026
respectively representing the lower limit constraint and the upper limit constraint of the total output of the adjustable resources in the cluster;
the cluster adjustment standby constraint is:
Figure FDA0003668569030000027
Figure FDA0003668569030000028
in the formula: i denotes a resource cluster；
Figure FDA0003668569030000029
g r(t)Representing the cluster up-standby constraint and down-standby constraint;
the cluster adjustment backup constraints are used for some heavy-load sections involved in the real-time coordination strategy, and adjustment margins reserved in advance when a safety correction mode is started are considered.
6. The method of claim 3, wherein the utility constraints comprise a single adjustable resource fixed power constraint and a regional source grid load store global fixed power constraint as follows:
the single adjustable resource fixed power constraint: the adjustable resource operates according to a given power generation and utilization curve in a specific time period, and the adjustable resource does not participate in optimization calculation in the specific time period, so that the fixed power constraint of the single adjustable resource is set based on the operating requirements of the power grid and the adjustable resource;
the single adjustable resource fixed power constraint is:
p(i,t)＝P(i,t)
in the formula: p (i, t) represents the output set value of the adjustable resource i in the time period t;
the integral fixed power constraint of the area source network load storage is as follows: the method comprises the following steps that the whole area source network load storage operates according to a given operating curve in a specific time period, and is suitable for the condition that a provincial dispatching assigns a regional resource aggregation operating curve, the whole area source network load storage fixed power constraint is usually relaxed in the first round of planning, the whole area source network load storage fixed power constraint is started after a provincial dispatching feedback adjustment plan, if the provincial dispatching modifies the regional dispatching curve, the total amount is considered to be incapable of exceeding the plan value of provincial dispatching feedback when the regional dispatching redistributes each adjustable resource operating curve, and therefore the whole area source network load storage fixed power constraint is set based on the requirements of a power grid and the operation of adjustable resources;
the integral fixed power constraint of the area source network load storage is as follows:
Figure FDA0003668569030000031
in the formula: p t (i, t) represents the output set value of the total output of the source net load storage in the time period t.
7. The method of claim 3, wherein the business constraints include electrical constraints as follows:
the electric quantity constraint is as follows:
Figure FDA0003668569030000032
in the formula:E(T)、
Figure FDA0003668569030000033
respectively representing the lower limit constraint and the upper limit constraint of the total electric quantity of the adjustable resource i in the scheduling period T.
8. A day-ahead coordination control method suitable for regional source network load storage is characterized in that the method is suitable for market situations and comprises the following steps:
if the region adjustable resources participate in the auxiliary service market of the province, the market main body is a source network charge and storage polymer of the region; reporting the operation condition and the adjustable potential according to each polymerization resource next day in the day, performing safety check through a day-ahead coordination strategy, directly reporting through a provincial dispatching market technology support system if the check result is qualified, and reporting through the provincial dispatching market technology support system after safety constraint is considered according to market rules and adjusted by a local dispatching way if the check result is unqualified;
after the market is cleared in the day, if the issued clear power curve changes compared with the reported curve, the clear power curve is led into a power generation planning module, and then secondary distribution is carried out from the local dispatching according to the market rules and considering the safety constraint, so that the adjustment of the day-ahead running curve of each adjustable resource is completed.
CN202210597987.4A 2022-05-30 2022-05-30 Day-ahead coordination control method suitable for regional level source network load storage Pending CN114884135A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117196173A (en) * 2023-07-27 2023-12-08 河海大学 Virtual power plant distributed scheduling method considering operation risk and network transmission

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117196173A (en) * 2023-07-27 2023-12-08 河海大学 Virtual power plant distributed scheduling method considering operation risk and network transmission
CN117196173B (en) * 2023-07-27 2024-04-09 河海大学 Virtual power plant distributed scheduling method considering operation risk and network transmission

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