CN112491057A - Distributed energy storage control method with aim of eliminating node voltage out-of-limit of power distribution network - Google Patents
Distributed energy storage control method with aim of eliminating node voltage out-of-limit of power distribution network Download PDFInfo
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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
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
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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
- H02J3/008—Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
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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
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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
- 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
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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
- 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]
Abstract
The invention belongs to the field of distributed energy storage, and relates to a distributed energy storage voltage regulation control method aiming at eliminating node voltage out-of-limit of a power distribution network. The method has the advantages of being scientific and reasonable, strong in applicability and the like, can ensure safe and stable operation of the power distribution network and the energy storage system, and improves power supply quality and economical efficiency of system operation.
Description
Technical Field
The invention belongs to the field of distributed energy storage, and particularly relates to a distributed energy storage control method aiming at eliminating voltage out-of-limit, in particular to a method for improving the node voltage level of a power distribution network by utilizing distributed energy storage charging and discharging.
Background
With the access of a large-scale Chinese Electric Vehicle (EV) to a power grid, the load of the power distribution network is greatly increased, and the node voltage of the power distribution network is increased to different degrees due to the grid connection of a Distributed Generator (DG), so that the problem of out-of-limit node voltage of the power distribution network is caused. In order to solve the problem that the node voltage of the power distribution network is out of limit, the measures adopted in the prior art are that power distribution equipment is upgraded and modified to adapt to the impact of EV and DG access on the power distribution network, but the defects that newly added equipment is low in utilization rate, poor in economical efficiency, incapable of being implemented in a short period and the like exist. The influence on the load is relieved by enhancing the optimization of the DG access point and the access capacity of the power distribution network, the effect is limited, and the problem of voltage quality cannot be fundamentally solved. The control mode based on the cluster can make up the defects of the traditional control and further reduce the influence on the voltage of the power distribution network caused by the access of DG and EV. In the current stage, the cluster energy storage control is mainly based on the voltage safety constraint, and focuses on how to improve the system voltage level by using the energy storage, and neglects the economic benefit in the actual operation of the energy storage.
How to design a reasonable distributed energy storage control method to solve the problem of voltage out-of-limit of a power distribution network is a difficult problem which is desired to be solved by technicians in the field and is not solved so far.
Disclosure of Invention
Aiming at the problems in the prior art, the invention aims to provide a distributed energy storage cluster control method aiming at eliminating the node voltage out-of-limit of a power distribution network. The method is scientific and reasonable, has strong applicability, can ensure the safe and stable operation of the power distribution network and the energy storage system, and improves the power supply quality.
The technical scheme adopted for achieving the purpose of the invention is as follows: a distributed energy storage voltage regulation control method aiming at eliminating the voltage out-of-limit of a node of a power distribution network is characterized by comprising the following steps:
In order to form different energy storage regulation clusters, the power distribution network is subjected to cluster division under the condition of considering electrical connection, and the objective function is as follows:
in the formula: rho is the system modularity, m is the sum of all the edge weights in the network, dij is the electrical distance between a node i and a node j, ki and kj are the sum of all the edge weights connected with the node i and the node j respectively, and the dividing process is as follows:
(a) firstly, each node is regarded as a cluster, the variation of the system modularity of each cluster adjacent node merged into the cluster is analyzed, the maximum variation is found, the corresponding node is merged into the cluster, and the process is repeated until the modularity is not changed any more;
(b) the nodes of the same cluster are equivalent to one node, participate in an iterative judgment process, and find the corresponding network partition when the overall modularity of the network is the maximum;
step 2, establishing a node voltage control objective function
In order to ensure that the system voltage is within a reasonable range, the voltage of each node is within a maximum deviation allowable range, and the objective function is as follows:
Umin≤Un,t≤Umax (3)
in the formula: u shapeminIs a lower limit value of the node voltage, Un,tIs the magnitude of the voltage value of the n node at time t, UmaxIs a node voltage upper limit value;
step 3, establishing charge and discharge power and electric quantity constraint conditions of the energy storage system
The constraint conditions comprise energy storage charge state constraint and charge-discharge power constraint,
SOCmin≤SOC(t)≤SOCmax (4)
SOC(0)＝SOC(T) (5)
-PESS,N≤PESS(t)≤PESS,N (6)
in the formula: SOCminIs a lower state of charge limit, SOCmaxThe SOC (t) is the SOC upper limit value and is the SOC at the time t; SOC (0) is the initial state of charge and takes the value of 0.2, and SOC (T) is the state of charge at the end of the period; pESS,NThe energy storage rated power value is obtained; pESSAnd (t) is the energy storage power value at the moment t.
Step 4, cluster energy storage voltage regulation control flow design
(a) The method comprises the steps that input data comprise typical daily load, EV and DG data and energy storage parameters, and a power distribution network cluster is divided according to a modularity index based on an electrical distance to form a power distribution network node cluster (Clu1 and Clu2 … … CluN);
(b) counting out-of-limit time and out-of-limit amplitude of internal node voltage of each cluster; if node voltage out-of-limit exists, screening out the cluster with the maximum out-of-limit cluster amplitude, setting the node voltage regulation upper limit U, wherein the same amplitude and the largest taking time are obtainedu＝1.05UNLower limit of node voltage regulation Ud＝0.95UNSetting the iteration number h as 1, otherwise, not acting;
(c) selecting the cluster K with the most serious cluster voltage out-of-limit as an adjusting object, and counting the out-of-limit of each node voltage in the KSelecting the node L with the most serious out-of-limit as an adjusting object, and calculating the voltage sensitivity of the node L
(d) When the node voltage is greater than the upper voltage limit (U)L(t)>Ud(t)), charging the stored energy to lower the node voltage, the charging power being Pc(t)＝(UL(t)-Ud(t))/SL(ii) a When the voltage of the node K is less than the lower limit value of the voltage (U)L(t)<Ud(t)), the energy storage discharge raises the voltage level, the energy storage discharge power is Pdis(t)＝(Ud(t)-UL(t))/SLCalculating the energy storage balance power (Sigma P)c(t)+ΣPdis(t))>At 0, Pbl＝﹣(ΣPc(t)+ΣPdis(t))/Tbl)，TblIn the early morning, the time period of low electricity price is 0:00-8: 00; when (Sigma P)c(t)+ΣPdis(t))<At 0, Pbl＝﹣(ΣPc(t)+ΣPdis(t))/Tbl)，TblThe peak time of the electricity price at night, namely 19:00-24:00 hours;
(e) outputting the output P of the energy storage time sequence of each clusterESS(h)＝Pc(t)+Pdis(t)+Pbl(t) pressing the energy storage output of different clusters to PESS,i(h)＝PESS(h)×Si/∑Si(SiFor i-node voltage sensitivity, ∑ SiDistributing the sum of the sensitivity of the energy storage installation points to the energy storage in the group, and calculating the voltage level D of the whole node of the systemregCalculating the energy-storage electricity-selling income FsaleAnd the income of purchasing electricity FbuyAnalyzing the system loss reduction quantity delta PlossAnd loss gain FlossTo obtain the comprehensive income F of energy storage operationT；
(f) Judging whether the voltage regulation standard is less than the maximum regulation standard, Uu>UNAnd U isd<UNIf the conditions are met, the upper limit regulation standard of the voltage is moved down, the lower limit regulation standard is moved up, and Un+△U，Uu-. DELTA.U, where. DELTA.U is 0.001UNIs overlapped withAnd (4) returning to the step c to re-enter the loop until the condition is met. Determining the voltage within the adjustable range, Uu>UNAnd U isd<UNCorresponding energy storage operation income set Ai＝{Fi,Fi+1,…，Fm，…，Fh}, determining the maximum operation income FmMax (A), outputting the optimal operation income F of the stored energymCorresponding time sequence output PESS(m)。
The invention relates to a distributed energy storage voltage regulation control method aiming at eliminating node voltage out-of-limit of a power distribution network, which is characterized by comprising the steps of clustering distribution network, establishing a node voltage control objective function, establishing charge and discharge power and electric quantity constraint conditions of an energy storage system, designing a cluster energy storage voltage regulation control flow and the like, being capable of coping with different load scenes, pertinently adopting an energy storage action mode, absorbing electric energy when the node voltage is overhigh through energy storage and releasing the electric energy when the node voltage is lower, realizing regulation and control of the node voltage and simultaneously obviously improving the comprehensive voltage level of the system. The method has the advantages of being scientific and reasonable, strong in applicability and the like, can ensure safe and stable operation of the power distribution network and the energy storage system, and improves power supply quality and economical efficiency of system operation.
Drawings
FIG. 1 is a flow chart of a distributed energy storage control method aimed at eliminating node voltage violations of a power distribution network;
FIG. 2 is a schematic diagram of node voltage distribution (when the proportion of the distributed power supply and the electric vehicle connected to the power distribution network is low, only the node voltage is in a lower limit state);
FIG. 3 is a schematic diagram of node voltage distribution (when the proportion of the distributed power supply to the electric vehicle connected to the power distribution network is high, the lower limit and the upper limit of the node voltage are simultaneously in a problem state);
FIG. 4 is a diagram illustrating the control result (node voltage over-high period for charging state);
FIG. 5 is a diagram illustrating the control result (discharge state during a period when the node voltage is low);
FIG. 6 is a schematic view of a scenario-stored energy operating condition;
fig. 7 is a schematic view of the operating state of the scene two energy storage.
Detailed Description
The invention is described in further detail below with reference to specific embodiments for the purpose of facilitating understanding and practicing the invention by those of ordinary skill in the art, the following examples are intended to illustrate the invention, but it should be understood that the scope of the invention is not limited to the specific embodiments.
The specific control flow chart is shown in figure 1, the invention relates to a distributed energy storage control method aiming at eliminating node voltage out-of-limit of a power distribution network, which comprises the steps of carrying out cluster division on the power distribution network, establishing a node voltage control objective function, establishing charge and discharge power and electric quantity constraint conditions of an energy storage system and designing a cluster energy storage voltage regulation control flow, and the specific steps are as follows:
In order to form different energy storage regulation clusters, the power distribution network is subjected to cluster division under the condition of considering electrical connection, and the objective function is as follows:
in the formula: rho is the system modularity, m is the sum of all the edge weights in the network, dij is the electrical distance between a node i and a node j, ki and kj are the sum of all the edge weights connected with the node i and the node j respectively, and the dividing process is as follows:
(a) firstly, each node is regarded as a cluster, the variation of the system modularity of each cluster adjacent node merged into the cluster is analyzed, the maximum variation is found, the corresponding node is merged into the cluster, and the process is repeated until the modularity is not changed any more;
(b) the nodes of the same cluster are equivalent to one node, participate in an iterative judgment process, and find the corresponding network partition when the overall modularity of the network is the maximum;
step 2, establishing a node voltage control objective function
In order to ensure that the system voltage is within a reasonable range, the voltage of each node is within a maximum deviation allowable range, and the objective function is as follows:
Umin≤Un,t≤Umax (3)
in the formula: u shapeminIs a lower limit value of the node voltage, Un,tIs the magnitude of the voltage value of the n node at time t, UmaxIs a node voltage upper limit value;
step 3, establishing charge and discharge power and electric quantity constraint conditions of the energy storage system
The constraint conditions comprise energy storage charge state constraint and charge-discharge power constraint,
SOCmin≤SOC(t)≤SOCmax (4)
SOC(0)＝SOC(T) (5)
-PESS,N≤PESS(t)≤PESS,N (6)
in the formula: SOCminIs a lower state of charge limit, SOCmaxThe SOC (t) is the SOC upper limit value and is the SOC at the time t; SOC (0) is the initial state of charge and takes the value of 0.2, and SOC (T) is the state of charge at the end of the period; pESS,NThe energy storage rated power value is obtained; pESSAnd (t) is the energy storage power value at the moment t.
Step 4, cluster energy storage voltage regulation control flow design
(a) The method comprises the steps that input data comprise typical daily load, EV and DG data and energy storage parameters, and a power distribution network cluster is divided according to a modularity index based on an electrical distance to form a power distribution network node cluster (Clu1 and Clu2 … … CluN);
(b) counting out-of-limit time and out-of-limit amplitude of internal node voltage of each cluster; if node voltage out-of-limit exists, screening out the cluster with the maximum out-of-limit cluster amplitude, setting the node voltage regulation upper limit U, wherein the same amplitude and the largest taking time are obtainedu＝1.05UNLower limit of node voltage regulation Ud＝0.95UNSetting the iteration number h as 1, otherwise, not acting;
(c) selection setTaking the cluster K with the most serious cluster voltage out-of-limit as an adjusting object, counting the out-of-limit amplitude of each node voltage in the K, selecting the node L with the most serious out-of-limit as the adjusting object, and calculating the voltage sensitivity of the node L
(d) When the node voltage is greater than the upper voltage limit (U)L(t)>Ud(t)), charging the stored energy to lower the node voltage, the charging power being Pc(t)＝(UL(t)-Ud(t))/SL(ii) a When the voltage of the node K is less than the lower limit value of the voltage (U)L(t)<Ud(t)), the energy storage discharge raises the voltage level, the energy storage discharge power is Pdis(t)＝(Ud(t)-UL(t))/SLCalculating the energy storage balance power (Sigma P)c(t)+ΣPdis(t))>At 0, Pbl＝﹣(ΣPc(t)+ΣPdis(t))/Tbl)，TblIn the early morning, the time period of low electricity price is 0:00-8: 00; when (Sigma P)c(t)+ΣPdis(t))<At 0, Pbl＝﹣(ΣPc(t)+ΣPdis(t))/Tbl)，TblThe peak time of the electricity price at night, namely 19:00-24:00 hours;
(e) outputting the output P of the energy storage time sequence of each clusterESS(h)＝Pc(t)+Pdis(t)+Pbl(t) pressing the energy storage output of different clusters to PESS,i(h)＝PESS(h)×Si/∑Si(SiFor i-node voltage sensitivity, ∑ SiDistributing the sum of the sensitivity of the energy storage installation points to the energy storage in the group, and calculating the voltage level D of the whole node of the systemregCalculating the energy-storage electricity-selling income FsaleAnd the income of purchasing electricity FbuyAnalyzing the system loss reduction quantity delta PlossAnd loss gain FlossTo obtain the comprehensive income F of energy storage operationT；
(f) Judging whether the voltage regulation standard is less than the maximum regulation standard, Uu>UNAnd U isd<UNIf the voltage meets the conditions, the voltage upper limit regulation standard is moved down, and the voltage lower limit is regulatedStandard upward shift, Un+△U，Uu-. DELTA.U, where. DELTA.U is 0.001UNAnd e, returning to the step c to re-enter the loop until the condition is met. Determining the voltage within the adjustable range, Uu>UNAnd U isd<UNCorresponding energy storage operation income set Ai＝{Fi,Fi+1,…，Fm，…，Fh}, determining the maximum operation income FmMax (A), outputting the optimal operation income F of the stored energymCorresponding time sequence output PESS(m)。
And analyzing the energy storage operation effect of the embodiment to verify the effectiveness of the method.
And calculating according to actual conditions, and simultaneously checking the effectiveness of the control method of the invention to perform example analysis.
This example uses typical spring day data for a certain region. Wind power and photovoltaic power are both used as typical days on a sunny day, and two possible voltage out-of-limit scenes are constructed according to the access condition of the distributed power supply and the access condition which may occur in the future.
When the proportion of the distributed power supply and the electric automobile connected to the power distribution network is low, the lower limit of the node voltage is only generated, and the node voltage distribution is as shown in fig. 2. The lower limit of the node voltage occurs at about 10:30-11:30 and 19:30-22:00, respectively. The reason is that the period is during the late peak of the load, and the sudden increase in the load causes the node voltage level to drop. When the proportion of the distributed power supply and the electric automobile connected to the power distribution network is high, the lower limit and the upper limit of the node voltage are simultaneously raised, and the node voltage distribution is shown in fig. 3. The higher the upper limit occurs at around 12:00-15:00 and the lower the node voltage occurs at around 19:30-21: 30. The reason is that the former is a period of time when the distributed power supply is large in output, the node voltage is increased to cause voltage out-of-limit and voltage level reduction, and the latter is a problem of voltage level reduction caused by late peak load sudden increase.
Based on the situation, the method is adopted to access the distributed energy storage system to the power distribution network system and configure the control method. After the energy storage is accessed, the charging is carried out at the time interval when the node voltage is overhigh, the discharging is carried out at the time interval when the node voltage is lower, the node voltage out-of-limit is eliminated, the comprehensive voltage level of the system is improved, and the improvement of the electric energy quality of the power distribution network and the consumption of the distributed power supply are facilitated. The control results are shown in fig. 4 and 5. Fig. 4 is node voltage after energy storage regulation and control in scene one, fig. 5 is node voltage after energy storage regulation and control in scene 2, fig. 6 is an operation state of energy storage in scene one, and fig. 7 is an operation state of energy storage in scene two. Therefore, the control method is real and effective, and the node voltage out-of-limit of the power distribution network can be eliminated by configuring the distributed energy storage system control method.
The embodiments of the present invention are provided for further description, are not exhaustive, and do not limit the scope of the claims, and those skilled in the art can conceive other substantially equivalent alternatives without inventive step in light of the teachings of the embodiments of the present invention.
Claims (1)
1. A distributed energy storage voltage regulation control method aiming at eliminating the voltage out-of-limit of a node of a power distribution network is characterized by comprising the following steps:
step 1, carrying out cluster division on the power distribution network
In order to form different energy storage regulation clusters, the power distribution network is subjected to cluster division under the condition of considering electrical connection, and the objective function is as follows:
in the formula: rho is the system modularity, m is the sum of all the edge weights in the network, dij is the electrical distance between a node i and a node j, ki and kj are the sum of all the edge weights connected with the node i and the node j respectively, and the dividing process is as follows:
(a) firstly, each node is regarded as a cluster, the variation of the system modularity of each cluster adjacent node merged into the cluster is analyzed, the maximum variation is found, the corresponding node is merged into the cluster, and the process is repeated until the modularity is not changed any more;
(b) the nodes of the same cluster are equivalent to one node, participate in an iterative judgment process, and find the corresponding network partition when the overall modularity of the network is the maximum;
step 2, establishing a node voltage control objective function
In order to ensure that the system voltage is within a reasonable range, the voltage of each node is within a maximum deviation allowable range, and the objective function is as follows:
Umin≤Un,t≤Umax (3)
in the formula: u shapeminIs a lower limit value of the node voltage, Un,tIs the magnitude of the voltage value of the n node at time t, UmaxIs a node voltage upper limit value;
step 3, establishing charge and discharge power and electric quantity constraint conditions of the energy storage system
The constraint conditions comprise energy storage charge state constraint and charge-discharge power constraint,
SOCmin≤SOC(t)≤SOCmax (4)
SOC(0)＝SOC(T) (5)
-PESS,N≤PESS(t)≤PESS,N (6)
in the formula: SOCminIs a lower state of charge limit, SOCmaxThe SOC (t) is the SOC upper limit value and is the SOC at the time t; SOC (0) is the initial state of charge and takes the value of 0.2, and SOC (T) is the state of charge at the end of the period; pESS,NThe energy storage rated power value is obtained; pESSAnd (t) is the energy storage power value at the moment t.
Step 4, cluster energy storage voltage regulation control flow design
(a) The method comprises the steps that input data comprise typical daily load, EV and DG data and energy storage parameters, and a power distribution network cluster is divided according to a modularity index based on an electrical distance to form a power distribution network node cluster (Clu1 and Clu2 … … CluN);
(b) counting out-of-limit time and out-of-limit amplitude of internal node voltage of each cluster; if there is anyScreening out the maximum amplitude cluster of the out-of-limit cluster when the node voltage is out-of-limit, setting the node voltage regulation upper limit U when the amplitude is the same and the taking time is maximumu＝1.05UNLower limit of node voltage regulation Ud＝0.95UNSetting the iteration number h as 1, otherwise, not acting;
(c) selecting a cluster K with the most serious cluster voltage out-of-limit as an adjusting object, counting the out-of-limit amplitude of each node voltage in the K, selecting a node L with the most serious cluster voltage out-of-limit as an adjusting object, and calculating the voltage sensitivity of the node L
(d) When the node voltage is greater than the upper voltage limit (U)L(t)>Ud(t)), charging the stored energy to lower the node voltage, the charging power being Pc(t)＝(UL(t)-Ud(t))/SL(ii) a When the voltage of the node K is less than the lower limit value of the voltage (U)L(t)<Ud(t)), the energy storage discharge raises the voltage level, the energy storage discharge power is Pdis(t)＝(Ud(t)-UL(t))/SLCalculating the energy storage balance power (Sigma P)c(t)+ΣPdis(t))>At 0, Pbl＝﹣(ΣPc(t)+ΣPdis(t))/Tbl)，TblIn the early morning, the time period of low electricity price is 0:00-8: 00; when (Sigma P)c(t)+ΣPdis(t))<At 0, Pbl＝﹣(ΣPc(t)+ΣPdis(t))/Tbl)，TblThe peak time of the electricity price at night, namely 19:00-24:00 hours;
(e) outputting the output P of the energy storage time sequence of each clusterESS(h)＝Pc(t)+Pdis(t)+Pbl(t) pressing the energy storage output of different clusters to PESS,i(h)＝PESS(h)×Si/∑Si(SiFor i-node voltage sensitivity, ∑ SiDistributing the sum of the sensitivity of the energy storage installation points to the energy storage in the group, and calculating the voltage level D of the whole node of the systemregCalculating the energy-storage electricity-selling income FsaleAnd the income of purchasing electricity FbuyAnalyzing the system loss reduction quantity delta PlossAnd loss gain FlossTo obtain the comprehensive income F of energy storage operationT；
(f) Judging whether the voltage regulation standard is less than the maximum regulation standard, Uu>UNAnd U isd<UNIf the conditions are met, the upper limit regulation standard of the voltage is moved down, the lower limit regulation standard is moved up, and Un+△U，Uu-. DELTA.U, where. DELTA.U is 0.001UNAnd e, returning to the step c to re-enter the loop until the condition is met. Determining the voltage within the adjustable range, Uu>UNAnd U isd<UNCorresponding energy storage operation income set Ai＝{Fi,Fi+1,…，Fm，…，Fh}, determining the maximum operation income FmMax (A), outputting the optimal operation income F of the stored energymCorresponding time sequence output PESS(m)。
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| CN113452053A (en) * | 2021-07-02 | 2021-09-28 | 国网吉林省电力有限公司吉林供电公司 | Distributed energy storage cluster dividing method |
| CN115411729A (en) * | 2022-09-30 | 2022-11-29 | 南方电网科学研究院有限责任公司 | Voltage stability judging method and device for power system |
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