CN112039098B - Distributed energy storage power station site selection and charging and discharging power control method and system - Google Patents
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Abstract
The invention discloses a distributed energy storage power station site selection and charging and discharging power control method and a system, wherein the method comprises the following steps: constructing a complex graph of the power distribution network according to the number of buses of the power distribution network; calculating the aggregation coefficient of each bus according to the edges and nodes of the complex graph of the power distribution network; and selecting the positions of k buses with the highest aggregation coefficient according to the number k of the distributed energy storage power stations as the positions of the distributed energy storage stations accessed to the power distribution network. The method comprises the steps of modeling the power distribution network based on a complex graph, selecting the position of an optimal distributed energy storage power station based on bus aggregation coefficients in the complex graph, setting an operation control strategy of the power distribution network comprising the distributed energy storage power station, and quickly and effectively obtaining the optimal configuration position of the energy storage power station of the large-scale power distribution network.
Description
Technical Field
The invention relates to the technical field of optimal configuration of a power distribution network energy storage system, in particular to a distributed energy storage power station site selection and charging and discharging power control method and system.
Background
The statements in this section merely provide background information related to the present disclosure and may not constitute prior art.
In recent years, large-scale power failure accidents of a power distribution network caused by various abnormal events are frequent day by day, huge economic loss is caused to national economy, the configuration position of an energy storage power station capable of improving the elasticity of the power distribution network, reducing power loss and line load and having better voltage stability is researched, and the urgent need of development and construction of the current power network is met. The energy storage power station has the advantages of energy bidirectional flow, high response speed and the like, can improve the redundancy and the activity of the power distribution network, and has the potential of improving the elasticity of the power distribution network.
However, the inventor finds that the power distribution network is complex in topological structure and wide in point range, the investment and construction cost of the existing energy storage power station is still high, and whether the access position is reasonably selected or not has great influence on the exertion of the effect of the power distribution network; at present, most research methods are carried out based on enumeration or optimization algorithms and combined with simulation analysis, a great number of dimensional disasters belong to NP difficult problems, and if three distributed energy storage power stations are configured for a power distribution network with 30 buses, 3 possible site selection schemes can be adopted 30 And the optimization solution is difficult, and the demand of planning the optimal site of the energy storage power station of the large-scale power distribution network cannot be met.
Disclosure of Invention
In order to solve the problems, the invention provides a distributed energy storage power station site selection and charging and discharging power control method and system.
In order to achieve the purpose, the invention adopts the following technical scheme:
in a first aspect, the present invention provides a distributed energy storage power station site selection method, including:
constructing a complex graph of the power distribution network according to the number of buses of the power distribution network;
calculating the aggregation coefficient of each bus according to the edges and nodes of the complex graph of the power distribution network;
and selecting the positions of the k buses with the highest aggregation coefficients according to the number k of the distributed energy storage power stations as the positions of the distributed energy storage stations accessed to the power distribution network.
In a second aspect, the present invention provides a distributed energy storage power station site selection system, including:
the modeling module is used for constructing a complex graph of the power distribution network according to the number of buses of the power distribution network;
the calculation module is used for calculating the aggregation coefficient of each bus according to the edges and the nodes of the complex graph of the power distribution network;
and the site selection module is used for selecting the positions of k buses with the highest aggregation coefficient according to the number k of the distributed energy storage power stations as the positions of the distributed energy storage stations accessed to the power distribution network.
In a third aspect, the present invention provides a method for controlling charging and discharging power of a distributed energy storage power station, including:
receiving a bus load and an available energy storage charging and discharging capacity of a distribution network accessed by a distributed energy storage power station;
obtaining an optimal charging and discharging strategy of the distributed energy storage power station under the constraint conditions of the voltage of the power distribution network, the line capacity and the available energy storage charging and discharging capacity;
and adjusting the charging and discharging power of the distributed energy storage power station according to the optimal charging and discharging strategy.
In a fourth aspect, the present invention provides a distributed energy storage power station charging and discharging power control system, including: the local controller and the power distribution network regulation and control center;
the power distribution network regulation and control center receives a bus load and an available energy storage charging and discharging capacity of a power distribution network accessed by the distributed energy storage power station sent by the local controller;
the power distribution network regulation and control center obtains an optimal charging and discharging strategy of the distributed energy storage power station under the constraint conditions of power distribution network voltage, line capacity and available energy storage charging and discharging capacity;
and the power distribution network regulation and control center sends a regulation and control instruction to the local controller according to the optimal charging and discharging strategy, and the local controller controls and adjusts the charging and discharging power of the distributed energy storage power station.
Compared with the prior art, the invention has the following beneficial effects:
the invention models the power distribution network based on the complex graph, selects the position of the optimal distributed energy storage power station based on the bus aggregation coefficient in the complex graph, provides a complex graph aggregation coefficient-based site selection method for the distributed energy storage power station of the power distribution network, provides a rapid and effective site selection method for the energy storage power station for a large power distribution network, and realizes the optimal site selection of the distributed energy storage power station;
meanwhile, an operation control strategy of a power distribution network comprising the distributed energy storage power station is set, so that multiple requirements of improving the elasticity of the power distribution network, reducing power loss and line load, improving the voltage stability of a system and operating economy are met, and the power regulation capability of the energy storage power station is fully exerted.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.
Fig. 1 is a flowchart of a distributed energy storage power station site selection method provided in embodiment 1 of the present invention;
fig. 2 is a flowchart of a method for controlling charging and discharging power of a distributed energy storage power station according to embodiment 3 of the present invention;
fig. 3 is a diagram of a site selection working scenario of a distribution network distributed energy storage power station according to embodiment 4 of the present invention;
fig. 4 is a complex diagram corresponding to the power distribution network case system provided in embodiment 4 of the present invention;
fig. 5 is an intermediary centrality diagram of each bus of the complex graph of the power distribution network provided in embodiment 4 of the present invention;
fig. 6 is a proximity centrality diagram of each bus of the complex graph of the power distribution network provided in embodiment 4 of the present invention;
fig. 7 is a concentration coefficient diagram of each bus in the complex graph of the power distribution network according to embodiment 4 of the present invention.
The specific implementation mode is as follows:
the invention is further described with reference to the following figures and examples.
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention. As used herein, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise, and it should be understood that the terms "comprises" and "comprising", and any variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The embodiments and features of the embodiments of the present invention may be combined with each other without conflict.
Example 1
As shown in fig. 1, the present embodiment provides a method for site selection of a distributed energy storage power station, including:
s1: constructing a complex graph of the power distribution network according to the number of buses of the power distribution network;
s2: calculating the aggregation coefficient of each bus according to the edges and nodes of the complex graph of the power distribution network;
s3: and selecting the positions of k buses with the highest aggregation coefficient according to the number k of the distributed energy storage power stations as the positions of the distributed energy storage stations accessed to the power distribution network.
In step S1, modeling the power distribution network based on the complex graph includes:
and defining the power distribution network line as an edge (edge) of the complex graph, defining the power distribution network bus as a vertex (node or vertex) of the complex graph, and constructing the complex graph of the power distribution network by using the normalized impedance as the weight of the edge of the complex graph.
In step S2, the aggregation coefficient of each bus in the power distribution network is: the ratio of twice the number of the lines between the bus v and the neighboring bus to the product of the degree of the bus v and the neighboring bus is the clustering coefficient of the bus v, namely:
wherein N is v The number of lines actually existing between the bus v and the neighboring bus; k v Is the degree of the bus of bus v; cc (v) is the local (bus) cluster coefficient;
in the power distribution network, if one bus has a higher local aggregation coefficient, the bus can provide a candidate path to provide a tide for a neighboring bus after the bus is cut off by the system, and the load supply can be more effectively guaranteed.
In the embodiment, the power distribution network intermediate centrality and the power distribution network adjacent centrality are introduced to describe the centrality of different nodes of the power distribution network, and can be used for verifying the effectiveness of the aggregation coefficient;
the distribution network medium center degree (Betwenness center) is as follows:
wherein n is st (v) The quantity of the shortest paths between the buses s and t of the power distribution network and passing through the bus v; n is a radical of st The number of the shortest paths between the buses s and t is defined as that the two nodes have the minimum normalized admittance, and the maximum value of all line impedance amplitudes is taken as the reference in the normalization process;
distribution network proximity center (closense center) is:
wherein v is i Is the number of bus i neighbors (bus i is not included); n is the total bus number in the complex diagram formed by the power distribution network; c i Is the sum of the normalized impedance of bus i and the neighboring bus; when there is no path between bus i and the neighboring bus, c (i) is 0.
In the step S3, the aggregation coefficients of the buses are sorted, and the k buses with the highest aggregation coefficient sorting queue are selected as the positions of the buses accessed by the distributed energy storage power station according to the configured number k of the distributed energy storage stations.
Example 2
This embodiment provides a distributed energy storage power station site selection system, includes:
the modeling module is used for constructing a complex graph of the power distribution network according to the number of buses of the power distribution network;
the calculation module is used for calculating the aggregation coefficient of each bus according to the edges and the nodes of the complex graph of the power distribution network;
and the site selection module is used for selecting the positions of k buses with the highest aggregation coefficient according to the number k of the distributed energy storage power stations as the positions of the distributed energy storage stations accessed to the power distribution network.
Example 3
As shown in fig. 2, the present embodiment provides a method for controlling charging and discharging power of a distributed energy storage power station, including:
s1: receiving a bus load and an available energy storage charging and discharging capacity of a distribution network accessed by a distributed energy storage power station;
s2: under the constraint conditions of the voltage of the power distribution network, the line capacity and the charge-discharge capacity of the distributed energy storage power station, the optimal charge-discharge strategy of the distributed energy storage power station is obtained by taking the condition of meeting the load of a bus as a target,
s3: and adjusting the charging and discharging power of the distributed energy storage power station according to the optimal charging and discharging strategy.
In this embodiment, in the operation control method for the power distribution network including the distributed energy storage power station, the power distribution network can send out a regulation and control command, and the charge and discharge power of the distributed energy storage power station is adjusted within the rated capacity range;
in the step S2, if the optimal charging and discharging strategy of the optimal distributed energy storage power station cannot be obtained within the constraint conditions, the load shedding process needs to be started;
the load shedding is as follows: and acquiring a range of the removable load quantity, preferentially removing the load with low importance degree by combining the load importance degree sequence, and continuously judging the optimal charge and discharge strategy after removing a certain load quantity.
Example 4
This embodiment provides a distributed energy storage power station charge-discharge power control system, includes: the system comprises a local controller and a power distribution network regulation and control center;
the power distribution network regulation and control center receives a bus load and an available energy storage charging and discharging capacity of a power distribution network accessed by the distributed energy storage power station sent by the local controller;
the power distribution network regulation and control center obtains an optimal charging and discharging strategy of the distributed energy storage power station by taking the condition that the bus load is met under the constraint conditions of the power distribution network voltage, the line capacity and the charging and discharging capacity of the distributed energy storage power station;
and the power distribution network regulation and control center sends a regulation and control instruction to the local controller according to the optimal charging and discharging strategy, and the local controller controls and adjusts the charging and discharging power of the distributed energy storage power station.
In this embodiment, each distribution network bus is configured with a local controller, the local controller can report the normal load demand of the bus to a distribution network regulation and control center (DSO), and can also realize the adjustment of local controllable load, and the charging and discharging power of the distribution network bus is adjusted within the rated capacity range by receiving the regulation and control command of the distribution network;
after the distributed energy storage power station is connected to the power distribution network, the bus load and the available energy storage charging and discharging capacity are sent to a power distribution network regulation and control center according to the connected bus;
the power distribution network regulation and control center executes an energy optimization scheduling algorithm by combining the load condition reported by each bus and the available energy storage charging and discharging capacity and combining the system operation requirements, seeks an optimal charging and discharging scheme of the distributed energy storage power station which can guarantee all the load requirements under the constraint conditions of the power distribution network voltage, the line capacity and the energy storage power station charging and discharging power, and outputs and executes the optimal charging and discharging scheme;
if a feasible charge-discharge scheme cannot be obtained within the constraint range, the load shedding process is required; namely: each local controller reports a load range capable of being cut off, and the power distribution network control center cuts off a certain load by combining with a set load priority sequence through a load cutting algorithm.
As shown in fig. 3, in the site selection work of the distributed energy storage power station of the power distribution network, by using the methods described in embodiments 1 and 3, the system is divided into three areas 1, 2, and 3, and has different load curves, the total load of the power distribution network is 283.4MW and 126.2MVar, and because the system needs to operate, three distributed energy storage power stations with rated capacities of 80MW, and 50MW are configured;
a complex diagram obtained by adopting complex diagram analysis modeling is shown in fig. 4, and the medium centrality, the adjacent centrality and the aggregation coefficient of each bus are calculated for each bus, as shown in fig. 5-7, it can be seen that the buses 4, 6 and 10 are three buses with the highest centrality and are used as access positions of the first group of distributed energy storage power stations for result comparison;
the buses 27, 29 and 30 have the highest aggregation coefficient and are used as candidate station sites of the distributed energy storage power station;
supposing that at the moment, due to fault tripping, a line between the bus 1 and an upstream power grid is further analyzed, and the guarantee degree of the system to the load under different access schemes of the distributed energy storage power station is as follows: the guarantee degree of the system to the load (the actual supply electric quantity of the load bus in the whole day/the total demand electric quantity of the load bus in the whole day after the action of the distributed energy storage power station) is 100 percent;
it can be seen that when 4, 6 and 10 are selected as access sites of the distributed energy storage power station, the load guarantee degree is 67.68%; when 27, 29 and 30 are selected as access stations of the distributed energy storage power station, the load guarantee degree is 83.76%; the complex graph aggregation coefficient-based site selection method provided by the embodiment can provide a better load guarantee level after a power distribution network fault occurs, and the overall elasticity of the system is obviously improved.
The present invention has been described in terms of the preferred embodiment, and it is not intended to be limited to the embodiment. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, it is not intended to limit the scope of the present invention, and it should be understood by those skilled in the art that various modifications and variations can be made without inventive efforts by those skilled in the art based on the technical solution of the present invention.
Claims (7)
1. A distributed energy storage power station site selection method is characterized by comprising the following steps:
constructing a complex graph of the power distribution network according to the number of buses of the power distribution network;
the method for constructing the complex diagram of the power distribution network comprises the following steps: defining a power distribution network line as an edge of a complex graph, defining a power distribution network bus as a vertex of the complex graph, and constructing the complex graph of the power distribution network by taking the normalized impedance of the power distribution network as the weight of the edge of the complex graph;
calculating the aggregation coefficient of each bus according to the edges and nodes of the complex graph of the power distribution network; the ratio of twice the number of the lines between the bus and the adjacent bus and the product of the bus and the adjacent bus is the aggregation coefficient of the bus;
and selecting the positions of k buses with the highest aggregation coefficient according to the number k of the distributed energy storage power stations as the positions of the distributed energy storage stations accessed to the power distribution network.
2. The distributed energy storage power station site selection method of claim 1, wherein the bus with the highest aggregation coefficient is selected to show that when the bus is cut off, a candidate path can be provided to provide power flow for a neighboring bus, and load supply is guaranteed.
3. A distributed energy storage power station site selection system is characterized by comprising:
the modeling module is used for constructing a complex graph of the power distribution network according to the number of buses of the power distribution network;
the method for constructing the complex diagram of the power distribution network comprises the following steps: defining a power distribution network line as an edge of a complex graph, defining a power distribution network bus as a vertex of the complex graph, and constructing the complex graph of the power distribution network by taking the normalized impedance of the power distribution network as the weight of the edge of the complex graph;
the calculation module is used for calculating the aggregation coefficient of each bus according to the edges and the nodes of the complex graph of the power distribution network; the ratio of twice the number of the lines between the bus and the adjacent bus to the product of the degrees of the bus and the adjacent bus is the aggregation coefficient of the bus;
and the site selection module is used for selecting the positions of k buses with the highest aggregation coefficient according to the number k of the distributed energy storage power stations as the positions of the distributed energy storage stations accessed to the power distribution network.
4. A charging and discharging power control method for a distributed energy storage power station is characterized by comprising the following steps:
receiving a bus load and an available energy storage charging and discharging capacity of a distribution network accessed by a distributed energy storage power station; the step of determining the position of the distributed energy storage power station accessing the power distribution network comprises the following steps:
constructing a complex graph of the power distribution network according to the number of buses of the power distribution network;
the method for constructing the complex diagram of the power distribution network comprises the following steps: defining a power distribution network line as an edge of a complex graph, defining a power distribution network bus as a vertex of the complex graph, and constructing the complex graph of the power distribution network by taking the normalized impedance of the power distribution network as the weight of the edge of the complex graph;
calculating the aggregation coefficient of each bus according to the edges and nodes of the complex graph of the power distribution network; the ratio of twice the number of the lines between the bus and the adjacent bus and the product of the bus and the adjacent bus is the aggregation coefficient of the bus;
according to the number k of the distributed energy storage power stations, the positions of k buses with the highest aggregation coefficients are selected as the positions of the distributed energy storage stations accessed to the power distribution network;
under the constraint conditions of the voltage of a power distribution network, the line capacity and the available energy storage charging and discharging capacity, the optimal charging and discharging strategy of the distributed energy storage power station is obtained by taking the condition that the bus load is met as a target;
adjusting the charging and discharging power of the distributed energy storage power station according to the optimal charging and discharging strategy;
and under the constraint condition, if the optimal charging and discharging strategy of the distributed energy storage power station is not obtained, the load shedding process is started.
5. The method for controlling the charging and discharging power of the distributed energy storage power station as recited in claim 4, wherein the load shedding process is as follows: and acquiring a load quantity range which can be cut, cutting the load quantity by combining the load priority sequence through a load cutting algorithm, and continuously judging the optimal charging and discharging strategy.
6. The utility model provides a distributed energy storage power station charge-discharge power control system which characterized in that includes: the system comprises a local controller and a power distribution network regulation and control center;
the power distribution network regulation and control center receives a bus load and an available energy storage charging and discharging capacity of a power distribution network accessed by the distributed energy storage power station sent by the local controller;
the step of determining the position of the distributed energy storage power station accessing the power distribution network comprises the following steps:
constructing a complex graph of the power distribution network according to the number of buses of the power distribution network;
the method for constructing the complex diagram of the power distribution network comprises the following steps: defining a power distribution network line as an edge of a complex graph, defining a power distribution network bus as a vertex of the complex graph, and constructing the complex graph of the power distribution network by taking the normalized impedance of the power distribution network as the weight of the edge of the complex graph;
calculating the aggregation coefficient of each bus according to the edges and nodes of the complex graph of the power distribution network; the ratio of twice the number of the lines between the bus and the adjacent bus and the product of the bus and the adjacent bus is the aggregation coefficient of the bus;
according to the number k of the distributed energy storage power stations, the positions of k buses with the highest aggregation coefficients are selected as the positions of the distributed energy storage stations accessed to the power distribution network;
the power distribution network regulation and control center obtains an optimal charging and discharging strategy of the distributed energy storage power station by taking the condition that the bus load is met under the constraint conditions of the power distribution network voltage, the line capacity and the available energy storage charging and discharging capacity;
the power distribution network regulation and control center sends a regulation and control instruction to the local controller according to the optimal charging and discharging strategy, and the local controller controls and adjusts the charging and discharging power of the distributed energy storage power station;
and under the constraint condition, if the optimal charging and discharging strategy of the distributed energy storage power station is not obtained, the load shedding process is started.
7. The system of claim 6, wherein the local controller is configured on a bus of the distribution network, and sends a bus load demand to a distribution network control center, and receives a control instruction of the distribution network to adjust the charging and discharging power of the distributed energy storage power station within a rated capacity range.
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