CN116014810A - Optimal configuration method and system for optical storage system of grid distribution network - Google Patents

Optimal configuration method and system for optical storage system of grid distribution network Download PDF

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CN116014810A
CN116014810A CN202211625021.3A CN202211625021A CN116014810A CN 116014810 A CN116014810 A CN 116014810A CN 202211625021 A CN202211625021 A CN 202211625021A CN 116014810 A CN116014810 A CN 116014810A
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grid
optical storage
distribution network
power
optimal
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王琳
刘思贤
何召慧
霍轶东
李光肖
丁子甲
刘宗杰
吴东
孙文胜
杨依路
张红兴
李怀花
谭媛
颜香梅
吴承玥
彭颖
胡雪峰
王悦
赵根涛
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Jining Power Supply Co
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Abstract

本发明公开的一种网格化配电网光储系统优化配置方法及系统,包括:对配电网系统进行网格划分;获取每个网格的平均负荷和最低备用功率;根据每个网格的平均负荷、最低备用功率和分布式光储优化规划模型,获得系统的光储配置策略,其中,分布式光储优化规划模型,以经济性和可靠性为目标,以电力电量动态平衡、功率平衡、节点电压、分布式光伏节点安装容量、配网分布式光伏安装总量、储能电池容量为约束;通过Nash均衡方法对系统的光储配置策略的经济性和可靠性进行均衡分析,获得最优光储配置策略。保证电网运行的经济性和稳定性。

Figure 202211625021

The invention discloses a method and system for optimal configuration of a grid-based distribution network optical-storage system, including: grid-dividing the distribution network system; obtaining the average load and minimum standby power of each grid; The grid average load, the minimum standby power and the distributed optical storage optimization planning model are used to obtain the systematic optical storage configuration strategy. Constrained by power balance, node voltage, installed capacity of distributed photovoltaic nodes, the total amount of distributed photovoltaic installed in the distribution network, and energy storage battery capacity; through the Nash equilibrium method, the economy and reliability of the system's optical storage configuration strategy are balanced and analyzed. Obtain the optimal optical storage allocation strategy. Ensure the economy and stability of grid operation.

Figure 202211625021

Description

一种网格化配电网光储系统优化配置方法及系统A method and system for optimal configuration of a grid-based distribution network photovoltaic storage system

技术领域technical field

本发明涉及配电网系统优化配置技术领域,尤其涉及一种网格化配电网光储系统优化配置方法及系统。The invention relates to the technical field of optimal configuration of distribution network systems, in particular to a method and system for optimal configuration of gridded distribution network optical storage systems.

背景技术Background technique

本部分的陈述仅仅是提供了与本发明相关的背景技术信息,不必然构成在先技术。The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

近年来随着光伏发电技术的成熟,越来越多的分布式光伏发电设施被应用于配电网各个节点。由于光伏本身的特性,其发电功率受时间、气象因素影响较大,因此在并网时会给电网带来一系列不确定性,例如造成局部电压越限、负荷功率波动较大等问题。储能设施在小范围内具有良好的电能存储性能、足够的充放电功率以及调控电源出力时空不均的能力,所以将光伏和储能配合使用可以极大地促进可再生能源就地消纳,改善分布式电源电能质量。为了提升某地区配电网整体的安全稳定运行水平,需要以网格化为背景对光伏和储能的数量和位置进行规划。In recent years, with the maturity of photovoltaic power generation technology, more and more distributed photovoltaic power generation facilities have been applied to various nodes of the distribution network. Due to the characteristics of photovoltaic itself, its power generation is greatly affected by time and weather factors. Therefore, when it is connected to the grid, it will bring a series of uncertainties to the grid, such as local voltage exceeding the limit and large fluctuations in load power. Energy storage facilities have good electrical energy storage performance in a small area, sufficient charge and discharge power, and the ability to regulate the unevenness of power output in time and space, so the combined use of photovoltaics and energy storage can greatly promote the on-site consumption of renewable energy and improve Distributed Power Quality. In order to improve the overall safe and stable operation level of the distribution network in a certain area, it is necessary to plan the quantity and location of photovoltaics and energy storage in the context of gridding.

(1)华东交通大学彭春华等人提出了一种基于源—网—荷协同优化的配电网光储联合系统规划方法。基于并行迭代二分K-means-+聚类的多场景技术处理分布式光伏和负荷的不确定性,建立以区域光储联合系统投资商收益最大、光伏就地消纳率最大和节点电压偏差平均值最小的目标函数,利用并行双量子微分进化算法对其进行求解,结果表明所提方法可显著提高分布式光伏的就地消纳和增加区域能源投资商的收益。(1) Peng Chunhua of East China Jiaotong University and others proposed a planning method for distribution network photovoltaic-storage combined system based on source-network-load collaborative optimization. Based on the multi-scenario technology of parallel iterative binary K-means-+ clustering to deal with the uncertainty of distributed photovoltaics and loads, the establishment of a regional solar-storage joint system with the largest investor income, the largest photovoltaic on-site consumption rate and the average node voltage deviation The objective function with the minimum value is solved by using the parallel double quantum differential evolution algorithm. The results show that the proposed method can significantly improve the local consumption of distributed photovoltaics and increase the income of regional energy investors.

但该方法中,对于光储系统规划范围来说,覆盖面较小,不适合在一个较大的范围内规划配置光储。However, in this method, the coverage is relatively small for the planning scope of the optical storage system, and it is not suitable for planning and configuring optical storage in a large range.

(2)华南理工大学汪慧敏等人提出了一种基于双层粒子群算法的主动配电网分布式电源规划方法。选取风机、光伏和微型燃气轮机为待规划分布式电源,以年综合费用最小为目标函数,以分布式电源渗透率、年最大负荷中断量、待规划节点处分布式电源装机容量等多种电气量为约束条件,建立考虑需求侧响应的分布式电源规划模型。基于分解协调思想,将模型分解为规划层和运行层,并采用双层粒子群算法求解。(2) Wang Huimin from South China University of Technology and others proposed a distributed power planning method for active distribution networks based on a two-layer particle swarm optimization algorithm. Select wind turbines, photovoltaics and micro gas turbines as distributed power sources to be planned, take the minimum annual comprehensive cost as the objective function, and use various electrical quantities such as distributed power penetration rate, annual maximum load interruption, and distributed power installed capacity at nodes to be planned As a constraint condition, a distributed power generation planning model considering demand side response is established. Based on the idea of decomposition and coordination, the model is decomposed into planning layer and operation layer, and a two-layer particle swarm optimization algorithm is used to solve the problem.

该方法仅分析了风机、光伏等分布式电源,没有考虑储能和电源相结合的配置策略,不能较好地解决分布式电源电能利用率不高的问题。This method only analyzes distributed power sources such as wind turbines and photovoltaics, and does not consider the configuration strategy of combining energy storage and power sources, which cannot solve the problem of low energy utilization of distributed power sources.

(3)河海大学的范志成提出了一种计及模糊随机性的主动配电网分布式电源规划模型。针对配电网电源规划与网架结构不匹配问题,首先提出一种计及DG出力模糊随机性的典型日场景生成方法,然后分别以DG供应商年收益最大和配电公司年网损费用最低为上、下层的目标函数,构建主动配电网双层DG规划模型。最后,采用GAMS-DICOPT求解器和自适应权重离散粒子群算法对规划模型求解。(3) Fan Zhicheng of Hohai University proposed a distributed power generation planning model for active distribution network considering fuzzy randomness. Aiming at the mismatch between distribution network power supply planning and grid structure, a typical daily scenario generation method is proposed considering the fuzzy randomness of DG output, and then the DG supplier's annual income is the largest and the distribution company's annual network loss is the lowest. For the upper and lower objective functions, a two-layer DG planning model of active distribution network is constructed. Finally, the planning model is solved by GAMS-DICOPT solver and discrete particle swarm optimization with adaptive weights.

该方法考虑到了分布式电源的出力随机性,并使用典型日场景生成方法进行模糊模拟,在设计目标函数的基础上进行求解,最后得到分布式电源与网架协同优化结果。This method takes into account the randomness of distributed power output, and uses the typical daily scene generation method to perform fuzzy simulation, solves it on the basis of the design objective function, and finally obtains the collaborative optimization results of distributed power and grid.

方法(1)在设计了多个目标函数后求解出了最优解,但多个目标之间的权重和分配没有明确,使得投资商收益、光伏就地消纳率和节点电压偏差三个方面未能得到均衡。方法(2)由于未考虑分布式电源与储能的统一规划,难以实现能源就地消纳,不能较好地解决分布式电源电能利用率不高的问题。方法(3)设计的目标函数以经济性为主,对配电网运行可靠性考虑不足,优化配置结果可能具有较低的可靠性。Method (1) After designing multiple objective functions, the optimal solution is solved, but the weight and distribution between multiple objectives are not clear, which makes the three aspects of investor income, photovoltaic on-site consumption rate and node voltage deviation Failed to get balanced. Method (2) does not consider the unified planning of distributed power generation and energy storage, so it is difficult to realize energy consumption on the spot, and it cannot solve the problem of low energy utilization rate of distributed power generation. The objective function designed by method (3) is mainly economical, and the reliability of distribution network operation is not considered enough, and the optimal configuration results may have low reliability.

发明内容Contents of the invention

本发明为了解决上述问题,提出了一种网格化配电网光储系统优化配置方法及系统,以网格为对象进行光储规划和配置,有利于光伏就地消纳,光储系统对配电网的影响不会外溢到附近的网格,且在以网格为对象进行光储规划和配置时,从可靠性和经济性角度建立分布式光储优化规划模型,在通过分布式光储优化规划模型获得系统的光储配置策略后,通过Nash均衡方法对配置策略的可靠性和经济性进行了均衡,从而选取出了最优配置策略,均衡提升光储配置的经济性和可靠性。In order to solve the above-mentioned problems, the present invention proposes a method and system for optimizing the configuration of grid-based distribution network optical storage systems. The grid is used as the object for planning and configuration of optical storage, which is conducive to the on-site consumption of photovoltaics. The influence of the distribution network will not spill over to the nearby grids, and when the grid is used as the object for planning and configuration of solar storage, an optimal planning model for distributed solar storage is established from the perspective of reliability and economy. After the storage optimization planning model obtains the systematic optical-storage allocation strategy, the reliability and economy of the allocation strategy are balanced by the Nash equilibrium method, and the optimal allocation strategy is selected to balance the economics and reliability of the optical-storage allocation. .

为实现上述目的,本发明采用如下技术方案:To achieve the above object, the present invention adopts the following technical solutions:

第一方面,提出了一种网格化配电网光储系统优化配置方法,包括:In the first aspect, a method for optimal configuration of grid-based distribution network solar-storage system is proposed, including:

对配电网系统进行网格划分;Grid division of the distribution network system;

获取每个网格的平均负荷和最低备用功率;Obtain the average load and minimum reserve power of each grid;

根据每个网格的平均负荷、最低备用功率和分布式光储优化规划模型,获得系统的光储配置策略,其中,分布式光储优化规划模型,以经济性和可靠性为目标,以电力电量动态平衡、功率平衡、节点电压、分布式光伏节点安装容量、配网分布式光伏安装总量、储能电池容量为约束;According to the average load of each grid, the minimum standby power and the distributed photovoltaic storage optimization planning model, the system's photovoltaic storage configuration strategy is obtained. Among them, the distributed photovoltaic storage optimization planning model aims at economy and reliability, and uses power Electricity dynamic balance, power balance, node voltage, distributed photovoltaic node installation capacity, distribution network distributed photovoltaic installation total amount, and energy storage battery capacity are constraints;

通过Nash均衡方法对系统的光储配置策略的经济性和可靠性进行均衡分析,获得最优光储配置策略。Through the Nash equilibrium method, the economy and reliability of the system's optical-storage allocation strategy are balanced and analyzed, and the optimal optical-storage allocation strategy is obtained.

第二方面,提出了一种网格化配电网光储系统优化配置系统,包括:In the second aspect, an optimal configuration system for gridded distribution network photovoltaic storage system is proposed, including:

网格划分模块,用于对配电网系统进行网格划分;A grid division module for grid division of the distribution network system;

需求获取模块,用于获取每个网格的平均负荷和最低备用功率;A demand acquisition module is used to obtain the average load and minimum reserve power of each grid;

光储配置策略获取模块,用于根据每个网格的平均负荷、最低备用功率和分布式光储优化规划模型,获得系统的光储配置策略,其中,分布式光储优化规划模型,以经济性和可靠性为目标,以电力电量动态平衡、功率平衡、节点电压、分布式光伏节点安装容量、配网分布式光伏安装总量、储能电池容量为约束;The optical storage configuration strategy acquisition module is used to obtain the optical storage configuration strategy of the system according to the average load of each grid, the minimum standby power and the distributed optical storage optimization planning model, wherein the distributed optical storage optimization planning model is based on the economic Reliability and reliability are the goals, and the dynamic balance of power, power balance, node voltage, installed capacity of distributed photovoltaic nodes, total installed distributed photovoltaic distribution network, and energy storage battery capacity are constraints;

最优光储配置策略获取模块,用于通过Nash均衡方法对系统的光储配置策略的经济性和可靠性进行均衡分析,获得最优光储配置策略。The optimal optical-storage allocation strategy acquisition module is used to perform a balanced analysis on the economy and reliability of the system's optical-storage allocation strategy through the Nash equilibrium method, and obtain the optimal optical-storage allocation strategy.

第三方面,提出了一种电子设备,包括存储器和处理器以及存储在存储器上并在处理器上运行的计算机指令,所述计算机指令被处理器运行时,完成一种网格化配电网光储系统优化配置方法所述的步骤。In the third aspect, an electronic device is proposed, including a memory, a processor, and computer instructions stored in the memory and run on the processor. When the computer instructions are run by the processor, a gridded distribution network is completed. The steps described in the optical storage system optimal configuration method.

第四方面,提出了一种计算机可读存储介质,用于存储计算机指令,所述计算机指令被处理器执行时,完成一种网格化配电网光储系统优化配置方法所述的步骤。In the fourth aspect, a computer-readable storage medium is provided for storing computer instructions, and when the computer instructions are executed by a processor, the steps described in a gridded distribution network optical storage system optimal configuration method are completed.

与现有技术相比,本发明的有益效果为:Compared with prior art, the beneficial effect of the present invention is:

1、本发明以网格为对象进行光储规划和配置,有利于光伏就地消纳,光储系统对配电网的影响不会外溢到附近的网格,此外也可以充分协调不同网格间光能资源的需求,网格的相对独立性可以使光储系统有针对性地补偿其配电方面的不足,保证电网运行的经济性和稳定性。1. The invention uses the grid as the object to plan and configure photovoltaic storage, which is conducive to the on-site consumption of photovoltaics, and the impact of the photovoltaic storage system on the distribution network will not spill over to nearby grids. In addition, different grids can be fully coordinated The relative independence of the grid can enable the solar storage system to compensate for the lack of power distribution in a targeted manner, ensuring the economy and stability of the grid operation.

2、本发明在以网格为对象进行光储规划和配置时,从可靠性和经济性角度建立分布式光储优化规划模型,在通过分布式光储优化规划模型获得系统的光储配置策略后,通过Nash均衡方法对配置策略的可靠性和经济性进行了均衡,从而选取出了最优配置策略,均衡提升光储配置的经济性和可靠性。2. The present invention establishes a distributed optical storage optimization planning model from the perspective of reliability and economy when carrying out optical storage planning and configuration with the grid as an object, and obtains the system optical storage configuration strategy through the distributed optical storage optimization planning model Finally, the reliability and economy of the allocation strategy are balanced through the Nash equilibrium method, and the optimal allocation strategy is selected to balance the economics and reliability of the optical storage allocation.

本发明附加方面的优点将在下面的描述中部分给出,部分将从下面的描述中变得明显,或通过本发明的实践了解到。Advantages of additional aspects of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.

附图说明Description of drawings

构成本申请的一部分的说明书附图用来提供对本申请的进一步理解,本申请的示意性实施例及其说明用于解释本申请,并不构成对本申请的不当限定。The accompanying drawings constituting a part of the present application are used to provide further understanding of the present application, and the schematic embodiments and descriptions of the present application are used to explain the present application, and do not constitute improper limitations to the present application.

图1为实施例1公开方法的流程图。FIG. 1 is a flow chart of the method disclosed in Example 1.

具体实施方式:Detailed ways:

下面结合附图与实施例对本发明作进一步说明。The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

应该指出,以下详细说明都是例示性的,旨在对本申请提供进一步的说明。除非另有指明,本文使用的所有技术和科学术语具有与本申请所属技术领域的普通技术人员通常理解的相同含义。It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. 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 application belongs.

需要注意的是,这里所使用的术语仅是为了描述具体实施方式,而非意图限制根据本申请的示例性实施方式。如在这里所使用的,除非上下文另外明确指出,否则单数形式也意图包括复数形式,此外,还应当理解的是,当在本说明书中使用术语“包含”和/或“包括”时,其指明存在特征、步骤、操作、器件、组件和/或它们的组合。It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and/or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and/or combinations thereof.

实施例1Example 1

在该实施例中,公开了一种网格化配电网光储系统优化配置方法,如图1所示,包括:In this embodiment, a gridded distribution network optical storage system optimization configuration method is disclosed, as shown in Figure 1, including:

S1:对配电网系统进行网格划分。S1: Carry out grid division on the distribution network system.

对配电网系统进行网格划分,划分出的网格包括城市网格、农村网格、工业负荷网格、生活负荷网格、平原地区网格和山地丘陵网格。The distribution network system is divided into grids, and the divided grids include urban grids, rural grids, industrial load grids, living load grids, plain area grids, and mountain and hill grids.

S2:获取每个网格的平均负荷和最低备用功率。S2: Obtain the average load and minimum reserve power of each grid.

对划分的网格,获取网格的基本信息,包括网格面积,网格内部负荷节点的种类、数量和拓扑连接关系,上级公用变电站的容量、出线间隔总数和线路长度,网格内地理信息等,根据网格的基本信息对网格间光伏储能配置条件的差异进行分析,如表1所示,获得不同网格对光储的需求程度。For the divided grid, the basic information of the grid is obtained, including the grid area, the type, quantity and topological connection relationship of the load nodes inside the grid, the capacity of the upper-level public substation, the total number of outgoing line intervals and the length of the line, and the geographical information in the grid etc., according to the basic information of the grids, the differences in the configuration conditions of photovoltaic energy storage between grids are analyzed, as shown in Table 1, and the demand for solar energy storage in different grids is obtained.

表1网格间光伏储能配置条件的差异分析Table 1 Difference analysis of photovoltaic energy storage configuration conditions between grids

Figure BDA0004003856130000071
Figure BDA0004003856130000071

不同网格对光储的需求程度以网格内负荷节点的综合失电概率值来衡量。对于综合失电概率越大的网格,光储等分布式电源可以在负荷节点失电后进行就地供电,提高供电可靠性,进而对于光储的需求程度更高,对于最低备用功率指:每个网格内部除上级公用变电站输送的电能外,就地分布式电源所具备的总发电容量。The demand of different grids for solar storage is measured by the comprehensive power loss probability value of the load nodes in the grid. For grids with a higher comprehensive power loss probability, distributed power sources such as optical storage can provide local power supply after the load node loses power to improve power supply reliability, and thus have a higher demand for optical storage. The minimum standby power refers to: In addition to the power delivered by the upper-level public substation inside each grid, the total power generation capacity of the local distributed power supply.

S3:根据每个网格的平均负荷、最低备用功率和分布式光储优化规划模型,获得系统的光储配置策略,其中,分布式光储优化规划模型,以经济性和可靠性为目标,以电力电量动态平衡、功率平衡、节点电压、分布式光伏节点安装容量、配网分布式广度安装总量、储能电池容量为约束。S3: According to the average load of each grid, the minimum standby power and the distributed optical storage optimization planning model, the system's optical storage configuration strategy is obtained. Among them, the distributed optical storage optimization planning model aims at economy and reliability. Constrained by the dynamic balance of electricity and power, power balance, node voltage, installed capacity of distributed photovoltaic nodes, total installed distribution network distribution width, and energy storage battery capacity.

经济性以投资成本为评价指标包括光储投资建设成本、光储设施运维成本、从大电网的购电成本和储能电池低储高发的收益。The economic efficiency takes investment cost as the evaluation index, including the investment and construction cost of solar storage, the operation and maintenance cost of solar storage facilities, the cost of purchasing electricity from the large power grid, and the benefits of low energy storage and high power generation of energy storage batteries.

配电网整体的经济性由各个网格的经济性决定,每个网格中,分布式光伏和储能的投资和花费主要在前期建设和运行维护上,对于整体配电网来说,光储投资可表达为:The overall economics of the distribution network is determined by the economics of each grid. In each grid, the investment and cost of distributed photovoltaics and energy storage are mainly in the early construction and operation and maintenance. For the overall distribution network, photovoltaic Savings investment can be expressed as:

Figure BDA0004003856130000081
Figure BDA0004003856130000081

式中,Ceco为总经济性目标函数,

Figure BDA0004003856130000082
表示光储投资建设成本,
Figure BDA0004003856130000083
表示光储设施运维成本,Cbuy是从大电网的购电成本,Cpro是储能电池低储高发的收益。In the formula, C eco is the total economic objective function,
Figure BDA0004003856130000082
Indicates the investment and construction cost of solar storage,
Figure BDA0004003856130000083
Indicates the operation and maintenance cost of solar storage facilities, C buy is the cost of purchasing electricity from the large power grid, and C pro is the income of energy storage batteries with low storage and high power generation.

Figure BDA0004003856130000084
Figure BDA0004003856130000084

式中,r0为贴现率,这里取0.06;y为规划年限,一般分布式光伏取20年,储能电池取10年;

Figure BDA0004003856130000085
Figure BDA0004003856130000086
表示单位容量的光伏、储能投资建设成本;N为网格数;
Figure BDA0004003856130000087
为第i个网格内的第j个光伏、储能电池的实际并网容量。In the formula, r 0 is the discount rate, which is 0.06 here; y is the planning period, generally 20 years for distributed photovoltaics, and 10 years for energy storage batteries;
Figure BDA0004003856130000085
and
Figure BDA0004003856130000086
Indicates the investment and construction cost of photovoltaic and energy storage per unit capacity; N is the number of grids;
Figure BDA0004003856130000087
is the actual grid-connected capacity of the jth photovoltaic and energy storage battery in the ith grid.

Figure BDA0004003856130000088
Figure BDA0004003856130000088

式中,λ为运维成本的折算比例,此处取0.1;

Figure BDA0004003856130000089
为分布式光伏单位容量的弃电成本;
Figure BDA00040038561300000810
为第i个网格内的第j个光伏并网容量的理论值;
Figure BDA00040038561300000811
为从大电网购电的单位实时电价;
Figure BDA00040038561300000812
分别为各储能电池节点的充放电功率值。In the formula, λ is the conversion ratio of the operation and maintenance cost, where 0.1 is taken;
Figure BDA0004003856130000089
is the curtailment cost of distributed photovoltaic unit capacity;
Figure BDA00040038561300000810
is the theoretical value of the jth grid-connected photovoltaic capacity in the ith grid;
Figure BDA00040038561300000811
Real-time electricity prices for units that purchase electricity from large power grids;
Figure BDA00040038561300000812
are the charge and discharge power values of each energy storage battery node.

Figure BDA0004003856130000091
Figure BDA0004003856130000091

式中,

Figure BDA0004003856130000092
为光储节点的主网购电量。In the formula,
Figure BDA0004003856130000092
Purchase power for the main network of optical storage nodes.

Figure BDA0004003856130000093
Figure BDA0004003856130000093

式中,

Figure BDA0004003856130000094
分别为节点储能电池作用前后的负荷量。In the formula,
Figure BDA0004003856130000094
Respectively, the loads before and after the action of the node energy storage battery.

可靠性以总停电损失为评价指标。Reliability takes the total power failure loss as the evaluation index.

接入光储系统后,配电网总停电损失可以描述为After accessing the optical storage system, the total power outage loss of the distribution network can be described as

Figure BDA0004003856130000095
Figure BDA0004003856130000095

式中,Closs为配电网可靠性指标,意义为总停电损失;Nn为每个网格内负荷节点的数量;

Figure BDA0004003856130000096
分别为网格内负荷节点的每千瓦时停电损失和停电概率;Si,j为负荷节点状态,0表示失电,1表示正常;Pi,j(t)表示节点实际消耗功率,定义为In the formula, C loss is the reliability index of the distribution network, meaning the total outage loss; N n is the number of load nodes in each grid;
Figure BDA0004003856130000096
are the power outage loss per kWh and power outage probability of the load nodes in the grid, respectively; S i,j is the state of the load node, 0 means out of power, 1 means normal; P i,j (t) means the actual power consumption of the node, defined as

Figure BDA0004003856130000097
Figure BDA0004003856130000097

式中,

Figure BDA0004003856130000098
为节点功率需求;
Figure BDA0004003856130000099
为节点光储系统发出的功率。In the formula,
Figure BDA0004003856130000098
is the node power requirement;
Figure BDA0004003856130000099
is the power emitted by the node optical storage system.

约束条件包括:电力电量动态平衡、功率平衡约束、节点电压约束、分布式光伏节点安装容量约束、配网分布式广度安装总量约束、储能电池容量约束。Constraints include: power dynamic balance, power balance constraints, node voltage constraints, distributed photovoltaic node installation capacity constraints, distributed distribution network installation total constraints, and energy storage battery capacity constraints.

其中,电力电量动态平衡为式(8),网格内部的光储要做到就地消纳,功率不外溢,也不存在电量缺口,实现电力电量动态平衡,在规划年限内:Among them, the dynamic balance of power and electricity is formula (8). The optical storage inside the grid should be consumed locally, the power will not overflow, and there will be no power gap. To achieve the dynamic balance of power and electricity, within the planning period:

Ptrans+PPV-Pload≥Pspare                     (8)P trans +P PV -P load ≥P spare (8)

式中,Ptrans为网格内上级公用变电站年平均输送电能,PPV为网格内光储系统的年平均发电量,Pload为网格内年平均负荷,Pspare为规划期内网格最低备用功率。In the formula, P trans is the annual average power transmission of the superior public substation in the grid, PP PV is the annual average power generation of the photovoltaic storage system in the grid, P load is the annual average load in the grid, and P spare is the grid during the planning period Minimum standby power.

功率平衡约束为式(9)。The power balance constraint is formula (9).

Figure BDA0004003856130000101
Figure BDA0004003856130000101

式中,Pi、Qi分别是节点i的有功功率和无功功率;Ui、Uj分别为节点i和j的电压;Bij、Gij分别为节点i和j之间的电导、电纳;θij为节点i和j之间的电压相角。In the formula, P i , Q i are the active power and reactive power of node i respectively; U i , U j are the voltages of nodes i and j respectively; B ij , G ij are the conductance, Susceptance; θij is the voltage phase angle between nodes i and j.

节点电压约束为式(10)。The node voltage constraint is formula (10).

Figure BDA0004003856130000102
Figure BDA0004003856130000102

式中,Ui,min、Ui,max分别为节点i的电压上下限值。In the formula, U i,min and U i,max are the upper and lower limits of the voltage of node i respectively.

分布式光伏节点安装容量约束为式(11)。The installation capacity constraint of distributed photovoltaic nodes is formula (11).

Figure BDA0004003856130000103
Figure BDA0004003856130000103

式中,

Figure BDA0004003856130000104
为节点i安装光伏容量上限值。In the formula,
Figure BDA0004003856130000104
Install the PV capacity upper limit value for node i.

配网分布式光伏安装总量约束为式(12)。The total amount of distributed photovoltaic installation in the distribution network is constrained by formula (12).

Figure BDA0004003856130000105
Figure BDA0004003856130000105

式中,Pi load为节点i的负荷功率;λPV为分布式光伏并网与负荷总量的比例系数。In the formula, P i load is the load power of node i; λ PV is the proportional coefficient of distributed photovoltaic grid connection and the total load.

储能电池约束为式(13)-(15)The energy storage battery is constrained by equations (13)-(15)

SOCmin≤SOC≤SOCmax                    (13)SOC min ≤ SOC ≤ SOC max (13)

0≤PES(t)≤PES-max                      (14)0≤P ES (t)≤P ES-max (14)

Figure BDA0004003856130000111
Figure BDA0004003856130000111

式中,SOCmin、SOCmax分别为储能电池荷电状态的上下限值;PES-max

Figure BDA0004003856130000112
分别为节点i储能电池充放电功率、安装容量的最大值。In the formula, SOC min and SOC max are the upper and lower limits of the state of charge of the energy storage battery respectively; P ES-max ,
Figure BDA0004003856130000112
are the maximum charging and discharging power and installed capacity of the energy storage battery of node i, respectively.

将每个网格内平均负荷和最低备用功率输入构建的分布式光储优化规划模型中,通过多目标遗传算法对模型进行求解,获得系统的光储配置策略,该结果为一系列最优解组成的解集,反映在图像中为一条曲线,即Prato曲线。Input the average load and the minimum standby power in each grid into the distributed optical storage optimization planning model constructed, and solve the model through the multi-objective genetic algorithm to obtain the system optical storage configuration strategy. The result is a series of optimal solutions The solution set formed by is reflected in the image as a curve, that is, the Prato curve.

S4:通过Nash均衡方法对系统的光储配置策略的经济性和可靠性进行均衡分析,获得最优光储配置策略。S4: Through the Nash equilibrium method, the economy and reliability of the system's optical-storage allocation strategy are balanced and analyzed to obtain the optimal optical-storage allocation strategy.

为了均衡考虑经济性和可靠性对最优解的影响,考虑使用Nash均衡策略。Nash均衡方法将多目标转化为单目标,可以反映博弈双方的维度差异、数量级和概率,应用该方法对经济性和可靠性两方面的目标函数进行均衡,可以在兼顾投资成本和供电可靠性的基础上寻找光储配置的最优解。以公式来表示Nash均衡目标函数:In order to balance the influence of economy and reliability on the optimal solution, consider using the Nash equilibrium strategy. The Nash equilibrium method converts multiple objectives into a single objective, which can reflect the dimensional differences, magnitudes and probabilities of the two sides of the game. Applying this method to balance the objective functions of economy and reliability can take into account investment costs and power supply reliability. Based on this, the optimal solution for optical storage configuration is found. The Nash equilibrium objective function is represented by the formula:

max(u1(x)-d1)(u2(x)-d2)(16)max(u 1 (x)-d 1 )(u 2 (x)-d 2 )(16)

式中,u1、u2表示谈判双方的利益方向,(d1,d2)为谈判破裂点。In the formula, u 1 , u 2 represent the direction of interests of the negotiating parties, and (d 1 , d 2 ) is the breaking point of the negotiation.

依据Nash均衡的线性变换不变性,Nash均衡方法优化模型对系统的光储配置策略的经济性和可靠性进行均衡分析的均衡优化模型可表示为:According to the invariance of linear transformation of Nash equilibrium, the optimization model of Nash equilibrium method can be expressed as:

Figure BDA0004003856130000113
Figure BDA0004003856130000113

式中,C指目标函数,ceco、closs分别指博弈双方,Ceco、Closs分别为可靠性指标和经济性指标,是博弈双方的损失边际。In the formula, C refers to the objective function, c eco and c loss respectively refer to the two sides of the game, C eco and C loss are the reliability index and the economic index respectively, which are the loss margins of the two sides of the game.

将系统的光储配置策略对应的可靠性和经济性输入均衡优化模型(17)中进行求解,获得最优光储配置策略。The reliability and economy corresponding to the system's optical storage allocation strategy are input into the equilibrium optimization model (17) for solution, and the optimal optical storage allocation strategy is obtained.

该最优光储配置策略为综合考虑系统的可靠性和经济性选定的,使用该最优光储配置策略进行配电网系统配置时,综合提升了光储配置的可靠性和经济性。The optimal optical-storage allocation strategy is selected by comprehensively considering the reliability and economy of the system. When the optimal optical-storage allocation strategy is used to configure the distribution network system, the reliability and economical efficiency of the optical-storage allocation are comprehensively improved.

本实施例公开的一种网格化配电网光储系统优化配置方法,为在配电网网格化的背景下提出光储协同规划策略,实际中一个地区配电网有多条馈线,但现有的光储规划策略仅仅可以做到有限条10kV馈线上的最优配置,会导致光伏无法就地消纳、邻近线路电压越限等问题,若对配电网进行分块,以区块为单位研究光储配置则可以有效解决上述问题。因此本实施例公开方法选择基于网格化背景进行规划。网格化配电网具有较高的供电独立性,每个网格中具有多条馈线,利用这些特点可以有效促进光伏就地消纳、提高供电可靠性;构建面向经济性和可靠性均衡提升的网格化分布式光储优化规划模型,将网格内配置光储系统的经济性和可靠性作为目标函数,其中配电网整体的经济性由各个网格的经济性决定,每个网格中分布式光伏和储能的投资主要取决于前期建设和运行维护上,可靠性则由规划期内停电损失确定,约束条件包括:电力电量动态平衡、功率平衡、节点电压、光伏安装容量、储能电池容量等,所提网格层面光伏配置模型能够考虑规划期内的多种运行场景,具备近远期适应性;利用博弈方法求解光储系统多目标优化问题。在配电网中,光储设施的接入会大大增加节点的可靠性,但另一方面投资也会相应增加,所以在可靠性和经济性之间需要找到一个均衡点。而本实施例公开的基于多目标遗传算法和Nash均衡相结合的求解思路,首先利用多目标遗传算法得到Pareto曲线,接着运用纳什博弈方法在经济性和可靠性目标综合最优的基础上,寻找经济性和可靠性的均衡点,最后整体提升光储系统接入下配电网的综合指标。This embodiment discloses a gridded distribution network optical storage system optimization configuration method, in order to propose an optical storage collaborative planning strategy in the context of distribution network gridding. In practice, there are multiple feeders in a distribution network in a region. However, the existing PV-storage planning strategy can only achieve the optimal configuration on a limited number of 10kV feeders, which will lead to problems such as the inability to consume PV locally and the voltage limit of adjacent lines. Studying the configuration of optical storage in units of blocks can effectively solve the above problems. Therefore, the method disclosed in this embodiment chooses to plan based on the gridded background. The grid distribution network has high power supply independence, and each grid has multiple feeders. Using these characteristics can effectively promote the consumption of photovoltaics on the spot and improve the reliability of power supply; build a balance between economy and reliability The grid-based distributed solar-storage optimization planning model takes the economics and reliability of the solar-storage system configured in the grid as the objective function, in which the overall economics of the distribution network is determined by the economics of each grid, and each network The investment in distributed photovoltaic and energy storage in Gezhong mainly depends on the preliminary construction and operation and maintenance, and the reliability is determined by the power outage loss during the planning period. The constraints include: dynamic balance of power and electricity, power balance, node voltage, photovoltaic installation capacity, Energy storage battery capacity, etc., the proposed grid-level photovoltaic configuration model can consider a variety of operating scenarios during the planning period, and has short-term and long-term adaptability; the game method is used to solve the multi-objective optimization problem of the photovoltaic storage system. In the distribution network, the access of optical storage facilities will greatly increase the reliability of nodes, but on the other hand, the investment will also increase accordingly, so a balance point needs to be found between reliability and economy. However, the solution method based on the combination of multi-objective genetic algorithm and Nash equilibrium disclosed in this embodiment first uses multi-objective genetic algorithm to obtain the Pareto curve, and then uses the Nash game method to find The balance point of economy and reliability, and finally improve the comprehensive index of the optical storage system connected to the distribution network.

本实施例公开的一种网格化配电网光储系统优化配置方法,以供电网格为单位对光储系统的数量和位置进行规划配置,使得该区域中整体配电网的运行经济性和供电可靠性达到最优,同时,以网格为对象进行光储规划和配置,有利于光伏就地消纳,光储系统对配电网的影响不会外溢到附近的网格,此外也可以充分协调不同网格间光能资源的需求,网格的相对独立性可以使光储系统有针对性地补偿其配电方面的不足,保证电网运行的经济性和稳定性。This embodiment discloses a grid-based distribution network optical storage system optimization configuration method, which uses the power supply grid as a unit to plan and configure the number and location of the optical storage system, so that the overall distribution network in the region can operate economically. and power supply reliability are optimal. At the same time, grid-based planning and configuration of photovoltaic storage is conducive to the on-site consumption of photovoltaics. The impact of photovoltaic storage systems on distribution networks will not spill over to nearby grids. It can fully coordinate the demand for solar energy resources among different grids, and the relative independence of the grids can enable the solar storage system to compensate for the lack of power distribution in a targeted manner, ensuring the economy and stability of the grid operation.

实施例2Example 2

在该实施例中,公开了一种网格化配电网光储系统优化配置系统,包括:In this embodiment, a gridded distribution network optical storage system optimization configuration system is disclosed, including:

网格划分模块,用于对配电网系统进行网格划分;A grid division module for grid division of the distribution network system;

需求获取模块,用于获取每个网格的平均负荷和最低备用功率;A demand acquisition module is used to obtain the average load and minimum reserve power of each grid;

光储配置策略获取模块,用于根据每个网格的平均负荷、最低备用功率和分布式光储优化规划模型,获得系统的光储配置策略,其中,分布式光储优化规划模型,以经济性和可靠性为目标,以电力电量动态平衡、功率平衡、节点电压、分布式光伏节点安装容量、配网分布式光伏安装总量、储能电池容量为约束;The optical storage configuration strategy acquisition module is used to obtain the optical storage configuration strategy of the system according to the average load of each grid, the minimum standby power and the distributed optical storage optimization planning model, wherein the distributed optical storage optimization planning model is based on the economic Reliability and reliability are the goals, and the dynamic balance of power, power balance, node voltage, installed capacity of distributed photovoltaic nodes, total installed distributed photovoltaic distribution network, and energy storage battery capacity are constraints;

最优光储配置策略获取模块,用于通过Nash均衡方法对系统的光储配置策略的经济性和可靠性进行均衡分析,获得最优光储配置策略。The optimal optical-storage allocation strategy acquisition module is used to perform a balanced analysis on the economy and reliability of the system's optical-storage allocation strategy through the Nash equilibrium method, and obtain the optimal optical-storage allocation strategy.

实施例3Example 3

在该实施例中,公开了一种电子设备,包括存储器和处理器以及存储在存储器上并在处理器上运行的计算机指令,所述计算机指令被处理器运行时,完成实施例1公开的一种网格化配电网光储系统优化配置方法所述的步骤。In this embodiment, an electronic device is disclosed, including a memory, a processor, and computer instructions stored in the memory and executed on the processor. When the computer instructions are executed by the processor, a method disclosed in Embodiment 1 is completed. The steps described in a method for optimal configuration of a grid-based distribution network optical-storage system.

实施例4Example 4

在该实施例中,公开了一种计算机可读存储介质,用于存储计算机指令,所述计算机指令被处理器执行时,完成实施例1公开的一种网格化配电网光储系统优化配置方法所述的步骤。In this embodiment, a computer-readable storage medium is disclosed, which is used to store computer instructions. When the computer instructions are executed by a processor, the optimization of a gridded distribution network optical storage system disclosed in Embodiment 1 is completed. Steps described in the configuration method.

最后应当说明的是:以上实施例仅用以说明本发明的技术方案而非对其限制,尽管参照上述实施例对本发明进行了详细的说明,所属领域的普通技术人员应当理解:依然可以对本发明的具体实施方式进行修改或者等同替换,而未脱离本发明精神和范围的任何修改或者等同替换,其均应涵盖在本发明的权利要求保护范围之内。Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: the present invention can still be Any modifications or equivalent replacements that do not depart from the spirit and scope of the present invention shall fall within the protection scope of the claims of the present invention.

Claims (10)

1. The optimal configuration method for the optical storage system of the grid distribution network is characterized by comprising the following steps of:
grid division is carried out on the power distribution network system;
obtaining average load and minimum standby power of each grid;
obtaining a light storage configuration strategy of a system according to the average load, the lowest standby power and a distributed light storage optimization planning model of each grid, wherein the distributed light storage optimization planning model aims at economy and reliability, and is constrained by dynamic balance of electric power and electricity, power balance, node voltage, distributed photovoltaic node installation capacity, distribution network distributed photovoltaic installation total amount and energy storage battery capacity;
and carrying out balanced analysis on the economy and reliability of the optical storage configuration strategy of the system by using a Nash balancing method to obtain the optimal optical storage configuration strategy.
2. The optimal configuration method for the optical storage system of the meshed distribution network according to claim 1, wherein the grids partitioned by the system comprise urban grids, rural grids, industrial load grids, living load grids, plain grids and mountain hills grids.
3. The optimal allocation method for the optical storage system of the grid-type power distribution network according to claim 1, wherein the economy comprises optical storage investment construction cost, optical storage facility operation and maintenance cost, electricity purchasing cost from a large power grid and low storage and high-emission benefits of energy storage batteries.
4. The optimal configuration method for the optical storage system of the grid-type power distribution network according to claim 1, wherein the reliability takes total outage loss as an evaluation index.
5. The optimal configuration method for the optical storage system of the meshed distribution network according to claim 1, wherein the average load and the minimum standby power of each grid are determined according to the grid area, the types, the numbers and the topological connection relations of load nodes in the grid, the capacity of an upper public substation, the total number of outlet intervals and the line length, and geographic information in the grid.
6. The optimal configuration method for the optical storage system of the grid-type power distribution network according to claim 1, wherein average load and minimum standby power of each grid are input into a distributed optical storage optimal planning model, and the model is solved through a multi-objective genetic algorithm to obtain an optical storage configuration strategy of the system.
7. The optimization configuration method of the optical storage system of the grid-type power distribution network according to claim 1, wherein the equalization optimization model adopted when the economic and reliability of the optical storage configuration strategy of the system is subjected to equalization analysis by using the Nash equalization method optimization model is as follows:
Figure FDA0004003856120000021
wherein C denotes an objective function, C eco 、c loss Respectively refer to two game parties, C eco 、C loss The reliability index and the economical index are loss margins of two game parties respectively.
8. An optimal configuration system for an optical storage system of a grid-type power distribution network is characterized by comprising the following components:
the grid division module is used for carrying out grid division on the power distribution network system;
the demand acquisition module is used for acquiring the average load and the lowest standby power of each grid;
the optical storage configuration strategy acquisition module is used for acquiring an optical storage configuration strategy of the system according to the average load of each grid, the lowest standby power and the distributed optical storage optimization planning model, wherein the distributed optical storage optimization planning model aims at economy and reliability, and takes dynamic balance of electric power and electric quantity, power balance, node voltage, distributed photovoltaic node installation capacity, distributed photovoltaic installation total amount of a distribution network and energy storage battery capacity as constraints;
the optimal optical storage configuration strategy acquisition module is used for carrying out balanced analysis on the economy and reliability of the optical storage configuration strategy of the system through a Nash balancing method to obtain the optimal optical storage configuration strategy.
9. An electronic device comprising a memory and a processor and computer instructions stored on the memory and running on the processor, which when executed by the processor, perform the steps of a method as claimed in any one of claims 1 to 7.
10. A computer readable storage medium storing computer instructions which, when executed by a processor, perform the steps of a method as claimed in any one of claims 1 to 7.
CN202211625021.3A 2022-12-16 2022-12-16 Optimal configuration method and system for optical storage system of grid distribution network Pending CN116014810A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117748552A (en) * 2023-12-11 2024-03-22 国网江西省电力有限公司经济技术研究院 Optimal layout method and system for optical storage system of power distribution network
CN119383076A (en) * 2024-12-27 2025-01-28 北京中电普华信息技术有限公司 Grid configuration and positioning synchronization method for multi-dimensional power grid service packages
CN119398567A (en) * 2025-01-02 2025-02-07 国网江苏省电力有限公司电力科学研究院 A distributed rooftop photovoltaic processing method, device, electronic device and storage medium based on Bayesian optimization

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117748552A (en) * 2023-12-11 2024-03-22 国网江西省电力有限公司经济技术研究院 Optimal layout method and system for optical storage system of power distribution network
CN117748552B (en) * 2023-12-11 2025-03-28 国网江西省电力有限公司经济技术研究院 Optimal layout method and system for photovoltaic storage system for distribution network
CN119383076A (en) * 2024-12-27 2025-01-28 北京中电普华信息技术有限公司 Grid configuration and positioning synchronization method for multi-dimensional power grid service packages
CN119383076B (en) * 2024-12-27 2025-04-01 北京中电普华信息技术有限公司 Multi-dimensional grid service package gridding configuration and positioning synchronization method
CN119398567A (en) * 2025-01-02 2025-02-07 国网江苏省电力有限公司电力科学研究院 A distributed rooftop photovoltaic processing method, device, electronic device and storage medium based on Bayesian optimization

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