CN116979586B - Shared energy storage power station energy management method and system considering cluster division - Google Patents

Shared energy storage power station energy management method and system considering cluster division Download PDF

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Publication number
CN116979586B
CN116979586B CN202311208968.9A CN202311208968A CN116979586B CN 116979586 B CN116979586 B CN 116979586B CN 202311208968 A CN202311208968 A CN 202311208968A CN 116979586 B CN116979586 B CN 116979586B
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energy storage
cluster
power
battery energy
shared
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CN116979586A (en
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李相俊
李焓宁
惠东
王上行
贾学翠
董立志
刘晓宇
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State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
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State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
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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
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • 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
    • H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/0013—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries acting upon several batteries simultaneously or sequentially
    • H02J7/0025—Sequential battery discharge in systems with a plurality of batteries
    • 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
    • H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/0047—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with monitoring or indicating devices or circuits
    • H02J7/0048—Detection of remaining charge capacity or state of charge [SOC]
    • 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]

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The invention discloses a shared energy storage power station energy management method and system considering cluster division, belonging to the technical field of energy storage, and comprising the following steps: dividing the shared energy storage power station into a plurality of clusters according to requirements, wherein each cluster comprises a plurality of battery energy storage units; according totGenerating a battery energy storage unit parameter table by sharing energy storage power station parameters in time period and participating in market electricity price in cluster; acquisition ofTThe power demand of the power grid on shared energy storage in a period of time; at the position ofTAnd distributing the power of each battery energy storage unit in the power station in a period. The invention adopts the battery energy storage unit cluster division method considering the sharing mechanism, and improves the total income of the shared energy storage power station under the condition of simultaneously considering the battery energy storage unit SOC. The method considers the economy and the SOC consistency at the same time, and meets the schedulability under the condition of ensuring the economy of the system.

Description

Shared energy storage power station energy management method and system considering cluster division
Technical Field
The invention relates to the technical field of energy storage, and provides a shared energy storage power station energy management method and system considering cluster division.
Background
Battery energy storage systems are a technology for storing electrical energy. The system uses several batteries to store power. The battery is charged and then released as needed. Battery storage is an increasingly popular choice for renewable energy manufacturers. In fact, many prospective enterprises have employed battery energy storage systems. The battery energy storage system is developed in a large scale, and the rest time of most battery energy storage systems is longer, so that the utilization efficiency is low and the economical efficiency is poor.
The patent application with the publication number of CN115733189A provides a shared energy storage scheduling method and system based on energy frequency modulation and load demand, and the method comprises the following steps: establishing an objective function of a shared energy storage system participating in cooperative scheduling of energy frequency modulation and load demand; inputting relevant parameters of a power grid side, a user side and a shared energy storage system into the objective function; solving the objective function according to the constraint condition of the objective function and the switching cost of the load importance degree by combining a mixed integer linear programming algorithm to obtain a shared energy storage configuration scheme; and configuring the shared energy storage system according to the shared energy storage configuration scheme, and controlling the shared energy storage system to participate in energy collaborative scheduling of the power grid side and the user side according to the hierarchical control strategy of the shared energy storage system. The shared energy storage system participates in the collaborative optimization scheduling of the power grid side and the user side at the same time, the service life of the shared energy storage system is prolonged through the hierarchical control strategy, the application value of the shared energy storage system is reflected, and the utilization efficiency of the shared energy storage system is improved.
The two energy storage systems with the same capacity are adopted, the actual topological structure of the power station is not considered, the battery energy storage unit which is minimum in refinement is not needed, and the control is fuzzy. Only the states of charge SOC of the two energy storage systems are subjected to threshold constraint, the SOC condition of the battery energy storage unit is not considered, and in actual operation, the SOC of the battery energy storage unit may reach the threshold value and cannot be charged or discharged, which may reduce the schedulability of the system.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a shared energy storage power station energy management method and system considering cluster division, and the distribution method simultaneously considers economy and SOC consistency, and meets schedulability under the condition of ensuring the economy of the system.
The aim of the invention is at least realized by the following technical scheme:
the first aspect of the present invention provides a method for energy management of a shared energy storage power station in consideration of cluster division, comprising:
dividing the shared energy storage power station into a plurality of clusters, wherein each cluster comprises a plurality of battery energy storage units;
according totGenerating a battery energy storage unit parameter table by sharing energy storage power station parameters in time period and participating in market electricity price in cluster;
acquisition ofTThe power demand of the power grid on shared energy storage in a period of time;
at the position ofTThe power of each battery energy storage unit in the power station is distributed in a period: based on the battery energy storage unit parameter table, judging the state of charge or discharge required by the shared energy storage power station according to the required power, sequencing a plurality of clusters according to the market electricity price, and determining the charge and discharge priority of the clusters; the method comprises the steps of combining the relation between the required power and rated power of battery energy storage units in a cluster, and sequencing the battery energy storage units according to the charge-discharge priority of the cluster; and selecting battery energy storage units needing to be charged or discharged according to the sequence, and distributing the power of each battery energy storage unit.
As a further improvement of the present invention, the dividing the shared energy storage power station into several clusters includes:
the shared energy storage power stations are divided into clusters participating in spot markets and clusters participating in auxiliary service markets according to the different markets.
As a further refinement of the invention, the shared energy storage power station parameter comprises a state parameter of a battery energy storage unit.
As a further improvement of the present invention, the battery energy storage unit parameter table includes:
each battery energy storage unit in each clusteriAt the position oftState of charge of a time period；
The electricity price of the spot market or auxiliary service market participated in by each cluster;
cluster is attPower of the time period;
the power rating of the cluster.
As a further improvement of the present invention, the determining, according to the required power, the state of charge or discharge required by the shared energy storage power station includes:
when the power is requiredWhen the shared energy storage power station needs to discharge;
when the power is requiredThe shared energy storage power station needs to be charged;
when the power is requiredThe shared energy storage power station does not need to be charged and discharged.
As a further improvement of the present invention, the sorting of the clusters according to the market price to determine the charging and discharging priorities of the clusters includes:
and sorting according to the electricity prices of the spot markets or the auxiliary service markets of the clusters, and determining the charging and discharging priorities of the clusters according to the priorities from large to small.
As a further improvement of the invention, the battery energy storage units are ordered; comprising the following steps:
during discharging, the battery energy storage units in the cluster are ordered from big to small according to the SOC;
during charging, the battery energy storage units in the cluster are ordered from small to large according to the SOC.
As a further improvement of the invention, the method is thatTThe power of each battery energy storage unit in the power station is distributed in a period; comprising the following steps:
when (when)tDemand power of time period power grid for shared energy storageWhen the shared energy storage power station needs to discharge, the number of battery energy storage units needing to be discharged is +.>；
According totThe time period electricity prices order the two clusters, and are divided into two cases:
1) When (when)Electricity price of spot market or auxiliary service market participated by cluster aElectric price of spot market or auxiliary service market participated in by group b +.>The method meets the following conditions: />Cluster a discharges preferentially, divided into two cases:
when the rated power of cluster aThe method meets the following conditions: />Only cluster a discharges, cluster a istPower of period->The method meets the following conditions: />The battery energy storage units in the cluster a are ordered from big to small according to the SOC; before selecting->Discharging the battery energy storage units; front->The power of each battery energy storage unit is +.>And->The discharge power of the individual battery energy storage units is +. >；
When the rated power of cluster aThe method meets the following conditions: />When the current is in the same time, the cluster a and the cluster b discharge simultaneously; cluster a discharges preferentially, cluster a discharges according to rated power, cluster b discharges according to residual power, +.>In cluster amThe power of each battery energy storage unit is->Discharging; the battery energy storage units in the cluster b are ordered from big to small according to the SOC; front in cluster bThe power of the individual battery energy storage units is +.>First->The power of each battery energy storage unit is；
2) When (when)Cluster b discharges preferentially, divided into two cases:
when the rated power of cluster bThe method meets the following conditions: />Only cluster b discharges, cluster b is thentPower of period->The method meets the following conditions: />The battery energy storage units in the cluster b are ordered from big to small according to the SOC; before selecting->Discharging the battery energy storage units; front->The power of each battery energy storage unit is +.>First, theThe discharge power of the individual battery energy storage units is +.>；
When the rated power of cluster bSatisfy->When the cluster b is preferentially discharged according to rated power, the cluster a is discharged according to residual power: the n battery energy storage units in the cluster b are all according to the power +.>Discharging; the battery energy storage units in the cluster a are ordered from big to small according to the SOC, and the front part of the cluster a is +.>The power of the individual battery energy storage units is +.>First- >The power of the individual battery energy storage units is +.>。
As a further improvement of the invention, the method is thatTThe power of each battery energy storage unit in the power station is distributed in a period; comprising the following steps:
when (when)tDemand power of time period power grid for shared energy storageThe shared energy storage power station needs to be charged, and the number of battery energy storage units needing to be charged is +.>The method comprises the steps of carrying out a first treatment on the surface of the According to the cluster electricity price, two situations are classified:
1) Electricity prices in spot markets or auxiliary service markets where cluster a participatesElectric price of spot market or auxiliary service market participated in by group b +.>The method meets the following conditions: />Cluster a charges preferentially, and is divided into two cases:
when the rated power of cluster aThe method meets the following conditions: />Only cluster a is charged; cluster a is attPower of period->The method meets the following conditions: />Sequencing the SOC of the battery energy storage units in the cluster a from small to large; before selectionThe battery energy storage units are charged; front->The power of each battery energy storage unit is +.>First, theThe power of each battery energy storage unit is->；
When the rated power of cluster aThe method meets the following conditions: />When all battery energy storage units in cluster a are rated at power +.>Charging; sequencing the SOC of the battery energy storage units in the cluster b from small to large; front>The power of the individual battery energy storage units is +.>First->The power of the individual battery energy storage units is +. >；
2) When (when)When the cluster b is charged preferentially, two cases are divided:
when the rated power of cluster bThe method meets the following conditions: />Only cluster b is charged; sequencing the SOC of the battery energy storage units in the cluster b from small to large; before->The battery energy storage units are charged; wherein the front partThe power of each battery energy storage unit is +.>First->The power of each battery energy storage unit is->；
When the rated power of cluster bSatisfy->In cluster bnThe power rating of the individual battery energy storage units is +.>Charging; the SOC of the battery energy storage units in the cluster a are ordered from small to large; front +.>The power of the individual battery energy storage units is +.>First->The power of the individual battery energy storage units is +.>。
As a further improvement of the invention, the method is thatTThe method for distributing the power of each battery energy storage unit in the power station in the period further comprises the following steps:
judging if it ist＜TAccording totThe +1 time period shares the energy storage power station parameter and the cluster participates in the market electricity price to generate a battery energy storage unit parameter table, and power distribution is circularly carried out; up tot≥TThe power allocation ends.
A second aspect of the present invention provides a shared energy storage power station energy management system that considers cluster partitioning, comprising:
the cluster dividing module is used for dividing the shared energy storage power station into a plurality of clusters according to requirements, and each cluster comprises a plurality of battery energy storage units;
A parameter table generating module for generating a parameter table according totGenerating a battery energy storage unit parameter table by sharing energy storage power station parameters in time period and participating in market electricity price in cluster;
a required power acquisition module for acquiringTThe power demand of the power grid on shared energy storage in a period of time;
a power distribution module for use inTThe power of each battery energy storage unit in the power station is distributed in a period: based on the battery energy storage unit parameter table, judging the state of charge or discharge required by the shared energy storage power station according to the required power, sequencing a plurality of clusters according to the market electricity price, and determining the charge and discharge priority of the clusters; the method comprises the steps of combining the relation between the required power and rated power of battery energy storage units in a cluster, and sequencing the battery energy storage units according to the charge-discharge priority of the cluster; and selecting battery energy storage units needing to be charged or discharged according to the sequence, and distributing the power of each battery energy storage unit.
A third aspect of the invention provides an electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the shared energy storage power station energy management method taking into account cluster division when executing the computer program.
A fourth aspect of the invention provides a computer readable storage medium storing a computer program which when executed by a processor implements the shared energy storage power station energy management method taking into account cluster division.
Compared with the prior art, the invention has the following beneficial effects:
aiming at the economic problem of large-scale energy storage power stations, the invention provides an energy management method of a shared energy storage power station taking cluster division into consideration, the shared energy storage power station is divided into a plurality of clusters according to requirements to participate in different markets, each cluster comprises a plurality of battery energy storage units, a battery energy storage unit parameter table is generated according to shared energy storage power station parameters and the power price of the clusters participating in the market, the battery energy storage units are ordered, corresponding battery energy storage units are selected according to the ordering in the battery energy storage unit parameter table for power distribution, and the power of all selected battery energy storage units is calculated and distributed to the corresponding battery energy storage units. By adopting the battery energy storage unit cluster division method considering the sharing mechanism, the total income of the shared energy storage power station is improved under the condition of simultaneously considering the battery energy storage unit SOC. First, the shared energy storage power station is divided into different clusters to participate in different markets respectively. And secondly, establishing a real-time battery energy storage unit parameter table containing the power prices of the clusters participating in the electric power market and the battery energy storage units SOC, sequencing the battery energy storage units, and finally realizing reasonable distribution of power so as to realize the maximization of benefits.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following description is made with reference to the accompanying drawings of the embodiments of the present invention or the related technical solutions in the prior art, and it should be understood that the drawings in the following description are only for convenience and clarity of describing some embodiments in the technical solutions of the present invention, and other drawings may be obtained according to these drawings without the need of inventive labor for those skilled in the art.
FIG. 1 is a flow chart of a method for managing energy of a shared energy storage power station taking cluster division into consideration according to an embodiment of the invention;
FIG. 2 is a flow chart illustrating a method for energy management of a shared energy storage power station with cluster division in mind, according to an example embodiment;
FIG. 3 is a schematic diagram of a shared energy storage power station topology of a partition cluster according to an embodiment;
FIG. 4 is a graph of shared energy storage plant power demand from a power grid;
FIG. 5 is a spot market and auxiliary service market electricity price graph;
FIG. 6 (a) is a cluster a power curve; FIG. 6 (b) is a cluster b power curve;
FIG. 7 is a graph of SOC of a cluster in a shared energy storage power station;
FIG. 8 is a graph of SOC of each battery energy storage unit in a shared energy storage power station (method one);
FIG. 9 is a graph comparing SOC curves of each battery energy storage unit in a shared energy storage power station (method two);
FIG. 10 is a graph of SOC curves of clusters a and b (method two);
FIG. 11 (a) cluster a output power graph (method two); FIG. 11 (b) cluster b output power graph (method two);
FIG. 12 is a graph of SOC of each battery energy storage unit in a shared energy storage power station (method three);
FIG. 13 is a graph of SOC of cluster a, cluster b (method three);
fig. 14 (a) output power profile of cluster a (method three), and fig. 14 (b) output power profile of cluster b (method three);
FIG. 15 is a schematic illustration of a shared energy storage plant energy management system that contemplates cluster partitioning in accordance with the present invention;
fig. 16 is a schematic diagram of an electronic device according to the present invention.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative only and are not to be construed as limiting the invention. The step numbers in the following embodiments are set for convenience of illustration only, and the order between the steps is not limited in any way, and the execution order of the steps in the embodiments may be adaptively adjusted according to the understanding of those skilled in the art.
In the description of the present invention, a number means one or more, a number means two or more, and greater than, less than, exceeding, etc. are understood to not include the present number, and above, below, within, etc. are understood to include the present number. The description of the first and second is for the purpose of distinguishing between technical features only and should not be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated or implicitly indicating the precedence of the technical features indicated.
The battery energy storage system is developed in a large scale, and the rest time of most battery energy storage systems is longer, so that the utilization efficiency is low and the economical efficiency is poor. When more than two independent energy storage systems work together, the advantages of different energy storage systems can be fully utilized by adopting the shared energy storage system, the working efficiency is improved, and the system construction cost is reduced. The invention provides a shared energy storage power station energy management method and system considering cluster division, and the method can be suitable for actual application scenes of energy storage participation in spot markets, peak shaving, frequency modulation and the like.
As shown in fig. 1, a first object of the present invention is to provide a method for energy management of a shared energy storage power station, which considers cluster division, including:
S1, dividing a shared energy storage power station into a plurality of clusters according to requirements, wherein each cluster comprises a plurality of battery energy storage units;
s2, according totGenerating a battery energy storage unit parameter table by sharing energy storage power station parameters in time period and participating in market electricity price in cluster;
s3, obtainingTThe power demand of the power grid on shared energy storage in a period of time;
s4, atTThe power of each battery energy storage unit in the power station is distributed in a period: based on the battery energy storage unit parameter table, the shared energy storage is judged according to the required powerThe power station needs to be charged or discharged, and then a plurality of clusters are ordered according to the market electricity price, so that the charging and discharging priorities of the clusters are determined; the method comprises the steps of combining the relation between the required power and rated power of battery energy storage units in a cluster, and sequencing the battery energy storage units according to the charge-discharge priority of the cluster; and selecting battery energy storage units needing to be charged or discharged according to the sequence, and distributing the power of each battery energy storage unit.
According to the method for dividing the clusters of the energy storage power station, each cluster comprises a plurality of battery energy storage units, and different clusters participate in different markets respectively; the method considers the contribution of economy and SOC consistency at the same time, performs the power distribution method of the energy storage power station, ensures the economy of the system, and has certain schedulability.
In addition, the invention adopts a battery energy storage unit cluster division method considering a sharing mechanism, each cluster comprises a plurality of battery energy storage units, and different clusters participate in different markets; the adopted power distribution method of the shared energy storage power station gives consideration to the SOC of the battery energy storage unit and the maximum benefit.
As an alternative to the foregoing embodiment, in S1, the dividing the shared energy storage power station into a plurality of clusters according to the requirement includes: the clusters participating in the spot market and the clusters participating in the auxiliary service market can be divided into a plurality of clusters according to market conditions.
As an alternative to the foregoing embodiment, in S2, the shared energy storage power station parameter includes a state parameter of a battery energy storage unit, and the battery energy storage unit parameter table includes: each battery energy storage unit in each clusteriAt the position oftOf time periodElectricity prices, clusters in spot market or auxiliary service market where each cluster participatestThe power of the period and the rated power of the cluster.
As an alternative to the foregoing embodiment, in S4, the determining, according to the required power, the state that the shared energy storage power station needs to be charged or discharged includes:
when the power is requiredWhen the shared energy storage power station needs to discharge;
When the power is requiredThe shared energy storage power station needs to be charged;
when the power is requiredThe shared energy storage power station does not need to be charged and discharged.
The method for determining the charging and discharging priorities of the clusters comprises the following steps of: and sorting according to the electricity prices of the spot markets or the auxiliary service markets of the clusters, and determining the charging and discharging priorities of the clusters according to the priorities from large to small.
More specifically, the sorting of the battery energy storage units is performed; comprising the following steps:
during discharging, the battery energy storage units in the cluster are ordered from big to small according to the SOC;
during charging, the battery energy storage units in the cluster are ordered from small to large according to the SOC.
The invention adopts an iterative loop algorithm, and after the power distribution in the period t is completed, the invention further comprises:
if T is less than T, generating a battery energy storage unit parameter table according to the t+1 time period sharing energy storage power station parameters and the cluster participation market electricity price, and circularly carrying out power distribution; and ending the power distribution until T is more than or equal to T.
The scheme provides a method for managing energy of the shared energy storage power station by dividing the shared energy storage power station into a plurality of clusters to participate in different markets respectively, taking the two clusters to participate in spot markets respectively as an example for explanation, and combining with the illustration of fig. 2, the invention provides a flow chart of the method for managing energy of the shared energy storage power station by considering the cluster division.
The specific implementation flow is as follows:
step 1: dividing a shared energy storage power station into a plurality of clusters;
taking a shared energy storage power station comprising two clusters as an example, the shared energy storage power station is divided into a cluster a and a cluster b, wherein the cluster a comprises m battery energy storage units and participates in the spot market. The cluster b comprises n battery energy storage units and participates in the auxiliary service market. The shared energy storage power station provided by the invention is shown in fig. 3, wherein the shared energy storage power station comprises a plurality of clusters, and each cluster comprises a plurality of battery energy storage units.
Step 2: and manufacturing a battery energy storage unit parameter table according to the state parameters of each cluster and the battery energy storage unit in the t period.
Table 1 is a table of battery energy storage unit parameters generated from the states of the clusters of the t-period shared energy storage power station and the battery energy storage unit. In which the state of chargeIs a battery energy storage unitiAt the position oftState of charge, SOC, of the time period; />、The electricity prices of spot markets or auxiliary service markets in which the clusters a and b participate are respectively represented, and the electricity prices of the spot markets or auxiliary service markets in which the clusters a and b participate are respectively representedtThe electricity price of the time period is set,，/>at cluster a, cluster b, respectivelytPower of period>，/>Rated power of cluster a, cluster b, respectively, +.>Is the rated power of a battery energy storage unit.
Table 1 battery energy storage cell parameter table
Step 3, obtainingtDemand power of time period power grid for shared energy storage；
Step 4:T, distributing the power of each battery energy storage unit in the power station in a period of time:
1. when the power is requiredWhen the shared energy storage power station needs to discharge, the number of battery energy storage units needing to be discharged is +.>As shown in formula (1). Wherein [ among others ]x]Representative pairxAnd (5) rounding upwards.
（1）
According totThe time period electricity prices order the two clusters, and are divided into two cases:
(1) When (when)For maximum benefit, cluster a discharges preferentially, which is now divided into two cases:
when the rated power of cluster aThe method meets the following conditions: />Only cluster a is discharged at this time, so cluster a's rated power +.>Equal to the power demand of the grid for shared energy storage, i.e. +.>And the battery energy storage units in cluster a are ordered from big to small according to their SOC. Before selecting->And discharging the battery energy storage units. Front->The power of each battery energy storage unit is +.>And->The discharge power of the individual battery energy storage units is +.>。
Wherein the last allocated battery energy storage unit power is:
（2）
when the rated power of cluster aThe method meets the following conditions: />When the cluster a and the cluster b discharge simultaneously. Since cluster a is discharged preferentially, cluster a is discharged at rated power, and cluster b is discharged according to residual power, so +. >All in cluster amThe power rating of the individual battery energy storage units is +.>And (5) discharging. For cluster b, the battery energy storage units in group b are ordered from large to small according to their SOCs. At this time before +.>The power of the individual battery energy storage units is +.>First->The power of the individual battery energy storage units is +.>。
(2) When (when)Cluster b discharges preferentially, which is now divided into two cases:
when the rated power of cluster bThe method meets the following conditions: />Only cluster b is discharged at this time, so that the power of cluster b is equal to the power required by the power grid for sharing the energy storage, namely +.>And the battery energy storage units in cluster b are ordered from large to small in terms of their SOC. Before selecting->And discharging the battery energy storage units. Front->The power of each battery energy storage unit is +.>And->The discharge power of the individual battery energy storage units is +.>。
When the rated power of cluster bSatisfy->At this time, cluster a discharges simultaneously with cluster b. Since cluster b is discharged preferentially, cluster b is discharged at rated power, and cluster a is discharged according to residual power, so +.>All n battery energy storage units in cluster b are rated at +.>And (5) discharging. For cluster a, the battery energy storage units in group a are ordered from large to small according to their SOCs. At this time before +.>The power of the individual battery energy storage units is +. >First->The power of the individual battery energy storage units is +.>。
2. When (when)The shared energy storage power station needs to be charged, and the number of the battery energy storage units needing to be charged is as followsThe method comprises the following steps:
（3）
likewise, two cases are classified according to the cluster electricity prices:
(1) When (when)For revenue maximization, cluster a charges preferentially, which is now divided into two cases:
when the rated power of cluster aThe method meets the following conditions: />The power of the cluster a is equal to the power required by the power grid for sharing the energy storage, namely +.>Only cluster a is charged. And sequencing the SOC of the battery energy storage units in the cluster a from small to large. Before->And the battery energy storage units are charged. Wherein front->The power of each battery energy storage unit is +.>First->The power of each battery energy storage unit is->。
When the rated power of cluster aThe method meets the following conditions: />When (I)>All battery energy storage units in cluster a are rated at power +.>And (5) charging. For cluster b, the SOCs of the battery energy storage units in cluster b are ordered from small to large. At this time, before in cluster b>The power of the individual battery energy storage units is +.>First->The power of the individual battery energy storage units is +.>。
(2) When (when)When the cluster b is charged preferentially, this time is divided into two cases:
when the rated power of cluster bThe method meets the following conditions: />The power of cluster b is equal to the power required by the power grid for the shared energy storage, i.e. +. >Only cluster b is charged. And sequencing the SOC of the battery energy storage units in the cluster b from small to large. Before->And the battery energy storage units are charged. Wherein front->The power of each battery energy storage unit is +.>First->The power of each battery energy storage unit is->。
When the rated power of cluster bSatisfy->When (I)>All battery energy storage units in cluster b are rated at power +.>And (5) charging. For cluster a, the SOCs of the battery energy storage units in cluster a are ordered from small to large. At this time, before in cluster a>The power of the individual battery energy storage units is +.>First->The power of the individual battery energy storage units is +.>。
If the shared energy storage power station is divided into three or more clusters to participate in different markets, the principle is the same as that of the method, and it is obvious that various changes and modifications can be made by those skilled in the art without departing from the spirit and scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
The capacity of the shared energy storage power station used in the simulation example of the part is 50MW/100MW/h. The shared energy storage power station includes a total of 100 battery energy storage units, each of which has a different initial SOC. Each unit was rated at 0.5MW and 1MW/h capacity.
The scenario of sharing the energy storage power station to participate in the transaction of the spot market or the auxiliary service market is simulated. The shared energy storage means used are divided into two clusters (cluster a and cluster b), each cluster containing 50 battery energy storage units. Each time period was 3 minutes long, for a total of t=1440 min. The power demand from the grid is shown in fig. 4, and fig. 5 is spot market and auxiliary service market electricity prices. The benefit of one day is compared and analyzed by adopting two methodsLThe method comprises the following steps:
（4）
in order to better embody the superiority of the energy management method (marked as a method I) of the shared energy storage power station which is provided by the invention and considers the economic efficiency and takes the cluster division into consideration, the following three methods are compared and analyzed.
The second method is as follows: photovoltaic and wind power generation fluctuation smoothing control based on BESS [ J]Li Xiangjun, et al, sustainable energy IEEE journal, 2013.4 (2): 464-473; the SOC feedback control method and the real-time power distribution method are provided, when the shared energy storage power station discharges, the battery energy storage unitiThe discharge power of (2) satisfies:
（4）
when the shared energy storage power station is charged, the battery energy storage unitiThe charging power of (2) satisfies:
（5）
and (3) calculating the power of the battery energy storage unit according to the formulas (4) and (5), wherein when the power exceeds a limit, the power of the battery energy storage unit is equal to the rated power. The remaining power is allocated to the remaining battery energy storage unit according to the two equations above, namely:
（7）
（8）
And a third method: the SOC feedback control real-time power distribution method taking the price coefficient into consideration. Because the price factor is not considered in the second method, the invention provides SOC feedback control taking the price coefficient into consideration, and the price coefficient is defined、/>The method meets the following conditions:
（9）
（10）
(1) When the shared energy storage power station discharges, the battery energy storage unitiThe discharge power when belonging to cluster a satisfies:
（11）
when the battery energy storage unitiThe discharge power when belonging to cluster b satisfies:
（12）
(2) When the shared energy storage power station is charged, the battery energy storage unitiThe charging power when belonging to cluster a satisfies:
（13）
when the battery energy storage unitiThe charging power when belonging to cluster b satisfies:
（14）
when the method is adopted, as shown in fig. 6 (a), 6 (b) and 7, before t=840 min, the spot market electricity price is lower, the cluster a is charged preferentially, the auxiliary service market electricity price is higher, the cluster b is discharged preferentially, the SOC of the cluster a is continuously increased and the SOC of the cluster b is continuously reduced in the period; after t=840 min, the auxiliary service market electricity price is higher, cluster a discharges preferentially, cluster b charges preferentially, and during this period, the SOC of cluster a decreases continuously and the SOC of cluster b increases continuously. It can be seen that the maximum power per cluster is 25MW. When the power demand of the shared energy storage power station is greater than 25MW, the clusters with higher priority will be charged and discharged with rated power, and the clusters with lower priority will supplement the residual demand of the power grid. The specific data are shown in table 2, where positive power values represent discharge and negative power values represent storage.
Table 2 power per cluster
As shown in fig. 8, a method-one simulation is adopted to obtain SOC curves of a plurality of battery energy storage units, and as time goes by, the SOCs of the battery energy storage units in different clusters start to be different. Before t=840 min, cluster a is charged mainly, and SOC gradually increases; the cluster b exhibits main discharge, and the SOC gradually decreases. After t=840 min, cluster a discharges mainly and SOC gradually decreases; cluster b is charged mainly and SOC gradually increases. The method provided by the invention maximizes the benefit on the basis of ensuring the consistency of the SOC of each battery energy storage unit.
The method II is adopted: as shown in fig. 9, the SOC curves of the battery energy storage units are obtained by adopting the second simulation method, and the SOC of each battery energy storage unit in the shared energy storage power station is gradually balanced. As shown in fig. 10, 11 (a) and 11 (b), since the factors of participation in market price are not considered, the power is relatively close as the SOC variation trend of the clusters a and b.
The method three is adopted: as shown in fig. 12, the SOC curves of the battery energy storage units are obtained by adopting the third simulation method, and the SOCs of the cluster a and the cluster b can reach good consistency. As shown in FIG. 13tAt=1100 min, the SOCs of cluster a and cluster b become different levels due to the price coefficient.
As shown in fig. 14 (a) and 14 (b), it can be seen that the price coefficient significantly affects the power of cluster a and cluster b, and when the spot market price is low, cluster a charges preferentially and cluster b discharges preferentially. When the spot market price is high, cluster a discharges preferentially and cluster b charges preferentially. Table 3 shows the gains obtained by calculating the three methods by equation (8). The economic shared energy storage power station energy management method provided by the invention has the highest benefit, the SOC feedback control method which does not consider the economic benefit has the lowest benefit, and the SOC feedback control real-time power distribution method which considers the price coefficient has the benefit between the two.
Table 3 one day benefits of sharing energy storage power stations under three methods
In summary, the method of the invention considers the battery energy storage unit cluster division of the sharing mechanism and participates in different markets; the power distribution method based on the demand power, the battery energy storage unit SOC and the cluster participation market price has the following advantages:
1) The battery energy storage unit cluster dividing method taking the sharing mechanism into consideration is provided, battery energy storage units in the shared energy storage can be combined into clusters to participate in different electric power markets, and the efficiency of the shared energy storage power station is improved;
2) And establishing a real-time battery energy storage unit parameter table containing the power market trading electricity price participated by the clusters, and carrying out real-time power distribution on each battery energy storage unit to ensure the economy and the consistency of the SOC.
As shown in fig. 15, a second object of an embodiment of the present invention is to provide a shared energy storage power station energy management system considering cluster division, including:
the cluster dividing module is used for dividing the shared energy storage power station into a plurality of clusters according to requirements, and each cluster comprises a plurality of battery energy storage units;
a parameter table generating module for generating a parameter table according totGenerating a battery energy storage unit parameter table by sharing energy storage power station parameters in time period and participating in market electricity price in cluster;
a required power acquisition module for acquiringTThe power demand of the power grid on shared energy storage in a period of time;
a power distribution module for use inTThe power of each battery energy storage unit in the power station is distributed in a period: based on the battery energy storage unit parameter table, judging the state of charge or discharge required by the shared energy storage power station according to the required power, sequencing a plurality of clusters according to the market electricity price, and determining the charge and discharge priority of the clusters; the method comprises the steps of combining the relation between the required power and rated power of battery energy storage units in a cluster, and sequencing the battery energy storage units according to the charge-discharge priority of the cluster; and selecting battery energy storage units needing to be charged or discharged according to the sequence, and distributing the power of each battery energy storage unit.
The content of the shared energy storage power station energy management system considering cluster division is consistent with the shared energy storage power station energy management method considering cluster division.
As shown in fig. 16, a third object of an embodiment of the present invention is to provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the method for managing energy of a shared energy storage power station taking into account cluster division when executing the computer program.
It is a fourth object of embodiments of the present invention to provide a computer readable storage medium storing a computer program which when executed by a processor implements the shared energy storage power station energy management method taking into account cluster partitioning.
The energy management method of the shared energy storage power station considering cluster division comprises the following steps:
s1, dividing a shared energy storage power station into a plurality of clusters according to requirements, wherein each cluster comprises a plurality of battery energy storage units;
s2, according totGenerating a battery energy storage unit parameter table by sharing energy storage power station parameters in time period and participating in market electricity price in cluster;
s3, obtainingTThe power demand of the power grid on shared energy storage in a period of time;
S4, atTThe power of each battery energy storage unit in the power station is distributed in a period: based on the battery energy storage unit parameter table, judging the state of charge or discharge required by the shared energy storage power station according to the required power, sequencing a plurality of clusters according to the market electricity price, and determining the charge and discharge priority of the clusters; the method comprises the steps of combining the relation between the required power and rated power of battery energy storage units in a cluster, and sequencing the battery energy storage units according to the charge-discharge priority of the cluster; and selecting battery energy storage units needing to be charged or discharged according to the sequence, and distributing the power of each battery energy storage unit.
Finally, it should be noted that: the above embodiments are only for illustrating the technical aspects of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the above embodiments, it should be understood by those of ordinary skill in the art that: modifications and equivalents may be made to the specific embodiments of the invention without departing from the spirit and scope of the invention, which are to be construed as encompassed by the appended claims, it being understood that embodiments of the invention may be provided as methods, systems, or computer program products. 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 flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations 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.

Claims (11)

1. A shared energy storage power station energy management method considering cluster division, comprising:
dividing the shared energy storage power station into a plurality of clusters, wherein each cluster comprises a plurality of battery energy storage units;
according totGenerating a battery energy storage unit parameter table by sharing energy storage power station parameters in time period and participating in market electricity price in cluster;
acquisition ofTTime period ofThe internal power grid is used for sharing the power required by energy storage;
at the position ofTThe power of each battery energy storage unit in the power station is distributed in a period: based on the battery energy storage unit parameter table, judging the state of charge or discharge required by the shared energy storage power station according to the required power, sequencing a plurality of clusters according to the market electricity price, and determining the charge and discharge priority of the clusters; the method comprises the steps of combining the relation between the required power and rated power of battery energy storage units in a cluster, and sequencing the battery energy storage units according to the charge-discharge priority of the cluster; selecting battery energy storage units to be charged or discharged according to the sequence, and distributing the power of each battery energy storage unit;
The atTThe method for distributing the power of each battery energy storage unit in the power station in the time period comprises the following steps:
when (when)tDemand power of time period power grid for shared energy storageWhen the shared energy storage power station needs to discharge, the number of battery energy storage units needing to be discharged is +.>；
According totThe time period electricity prices order the two clusters, and are divided into two cases:
1) Electricity prices in spot markets or auxiliary service markets where cluster a participatesElectric price of spot market or auxiliary service market participated in by group b +.>The method meets the following conditions: />Cluster a discharges preferentially, divided into two cases:
when the rated power of cluster aThe method meets the following conditions: />Only cluster a discharges, cluster a istPower of time periodThe method meets the following conditions: />The battery energy storage units in the cluster a are ordered from big to small according to the SOC; before selecting->Discharging the battery energy storage units; front->The power of each battery energy storage unit is +.>And (1)The discharge power of the individual battery energy storage units is +.>；
When the rated power of cluster aThe method meets the following conditions: />When the current is in the same time, the cluster a and the cluster b discharge simultaneously; cluster a discharges preferentially, cluster a discharges according to rated power, cluster b discharges according to residual power, +.>In cluster amThe power of each battery energy storage unit is->Discharging; the battery energy storage units in the cluster b are ordered from big to small according to the SOC; front in cluster b The power of the individual battery energy storage units is +.>First->The power of each battery energy storage unit is；
2) When (when)Cluster b discharges preferentially, divided into two cases:
when the rated power of cluster bThe method meets the following conditions: />Only cluster b discharges, cluster b is thentPower of time periodThe method meets the following conditions: />The battery energy storage units in the cluster b are ordered from big to small according to the SOC; before selecting->Discharging the battery energy storage units; front->The power of each battery energy storage unit is +.>First->The discharge power of the individual battery energy storage units is +.>；
When the rated power of cluster bSatisfy->When the cluster b is preferentially discharged according to rated power, the cluster a is discharged according to residual power: the n battery energy storage units in the cluster b are all according to the power +.>Discharging; the battery energy storage units in the cluster a are ordered from big to small according to the SOC, and the front part of the cluster a is +.>The power of the individual battery energy storage units is +.>First->The power of the individual battery energy storage units is +.>；
The power distribution of each battery energy storage unit in the power station in the T period comprises the following steps:
when (when)tDemand power of time period power grid for shared energy storageThe shared energy storage power station needs to be charged, and the number of battery energy storage units needing to be charged is +.>The method comprises the steps of carrying out a first treatment on the surface of the According to the cluster electricity price, two situations are classified:
1) Electricity prices in spot markets or auxiliary service markets where cluster a participates Electric price of spot market or auxiliary service market participated in by group b +.>The method meets the following conditions: />Cluster a charges preferentially, and is divided into two cases:
when the rated power of cluster aThe method meets the following conditions: />Only cluster a is charged; cluster a is attPower of period->The method meets the following conditions: />Sequencing the SOC of the battery energy storage units in the cluster a from small to large; before selectionThe battery energy storage units are charged; front->The power of each battery energy storage unit is +.>First, theThe power of each battery energy storage unit is->；
When the rated power of cluster aThe method meets the following conditions: />When all battery energy storage units in cluster a are rated at power +.>Charging; sequencing the SOC of the battery energy storage units in the cluster b from small to large; front>The power of the individual battery energy storage units is +.>First->The power of the individual battery energy storage units is +.>；
2) When (when)When the cluster b is charged preferentially, two cases are divided:
when the rated power of cluster bThe method meets the following conditions: />Only cluster b is charged; sequencing the SOC of the battery energy storage units in the cluster b from small to large; before->The battery energy storage units are charged; wherein front->The power of each battery energy storage unit is +.>First->The power of each battery energy storage unit is->；
When the rated power of cluster bSatisfy->In cluster b nThe energy storage units of the batteries are ratedCharging; the SOC of the battery energy storage units in the cluster a are ordered from small to large; front +.>The power of the individual battery energy storage units is +.>First->The power of the individual battery energy storage units is +.>。
2. The shared energy storage power station energy management method considering cluster division as claimed in claim 1, wherein said dividing the shared energy storage power station into clusters comprises:
the shared energy storage power stations are divided into clusters participating in spot markets and clusters participating in auxiliary service markets according to the different markets.
3. The shared energy storage power station energy management method considering cluster partitioning of claim 1, wherein the shared energy storage power station parameters comprise state parameters of battery energy storage units.
4. The shared energy storage power station energy management method considering cluster division as claimed in claim 1, wherein the battery energy storage unit parameter table comprises:
each battery energy storage unit in each clusteriAt the position oftState of charge of a time period；
The electricity price of the spot market or auxiliary service market participated in by each cluster;
cluster is attPower of the time period;
the power rating of the cluster.
5. The method for energy management of a shared energy storage power station taking into account cluster division according to claim 1, wherein determining a charge or discharge state required for the shared energy storage power station according to the required power comprises:
When the power is requiredWhen the shared energy storage power station needs to discharge;
when the power is requiredThe shared energy storage power station needs to be charged;
when the power is requiredThe shared energy storage power station does not need to be charged and discharged.
6. The method for energy management of a shared energy storage power station with respect to cluster division according to claim 1, wherein the sorting the clusters according to market price to determine the charge-discharge priority of the clusters comprises:
and sorting according to the electricity prices of the spot markets or the auxiliary service markets of the clusters, and determining the charging and discharging priorities of the clusters according to the priorities from large to small.
7. The shared energy storage power station energy management method considering cluster division as claimed in claim 1, wherein said ordering each battery energy storage unit comprises:
during discharging, the battery energy storage units in the cluster are ordered from big to small according to the SOC;
during charging, the battery energy storage units in the cluster are ordered from small to large according to the SOC.
8. The shared energy storage power station energy management method considering cluster division as claimed in any one of claims 1-7, wherein said atTThe method for distributing the power of each battery energy storage unit in the power station in the period further comprises the following steps:
Judging if it ist＜TAccording totThe +1 time period shares the energy storage power station parameter and the cluster participates in the market electricity price to generate a battery energy storage unit parameter table, and power distribution is circularly carried out; up tot≥TThe power allocation ends.
9. A shared energy storage power station energy management system taking into account cluster division, based on the shared energy storage power station energy management method taking into account cluster division according to any one of claims 1-7, comprising:
the cluster dividing module is used for dividing the shared energy storage power station into a plurality of clusters according to requirements, and each cluster comprises a plurality of battery energy storage units;
a parameter table generating module for generating a parameter table according totGenerating a battery energy storage unit parameter table by sharing energy storage power station parameters in time period and participating in market electricity price in cluster;
a required power acquisition module for acquiringTThe power demand of the power grid on shared energy storage in a period of time;
a power distribution module for use inTThe power of each battery energy storage unit in the power station is distributed in a period: based on the battery energy storage unit parameter table, judging the state of charge or discharge required by the shared energy storage power station according to the required power, sequencing a plurality of clusters according to the market electricity price, and determining the charge and discharge priority of the clusters; the method comprises the steps of combining the relation between the required power and rated power of battery energy storage units in a cluster, and sequencing the battery energy storage units according to the charge-discharge priority of the cluster; and selecting battery energy storage units needing to be charged or discharged according to the sequence, and distributing the power of each battery energy storage unit.
10. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the shared storage power plant energy management method of any one of claims 1-7 taking into account cluster partitioning when executing the computer program.
11. A computer readable storage medium, characterized in that it stores a computer program, which when executed by a processor implements the shared energy storage power station energy management method taking into account cluster division according to any of claims 1-7.
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