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基于改进遗传算法的光伏系统储能优化配置

1347    2021-01-27

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作者:张继红1, 冀伟成2

作者单位:1. 内蒙古科技大学 内蒙古自治区光热与风能发电重点实验室,内蒙古 包头 014010;
2. 内蒙古科技大学信息工程学院,内蒙古 包头 014010


关键词:储能优化配置;潮流计算;平抑波动;改进遗传算法


摘要:

为应对光伏发电随机性及波动性对电力系统造成的不利影响,可以从系统概率潮流角度分析光伏出力特征,进而研究储能的接入对于抑制该影响的可行方案。首先,建立概率潮流元件分布模型和储能选址定容模型,采用随机行走理论和拉丁超立方理论进行样本分析和排序;其次,以降低储能投资成本、降低支路有功越限概率和减少网络损耗作为优化目标函数并进行求解计算;最后,利用IEEE 24及IEEE 17节点系统对求解结果进行仿真测试。结果表明:随光伏容量的增加,系统受影响程度增大,随储能容量的增加,系统受影响程度减小。随着光伏渗透率的提高,储能减小网损能力得以明显改善;同时,光伏发电可以提升储能利用谷时电价充电的能力,增强削峰填谷套利。


Optimal allocation of energy storage in photovoltaic system based on improved genetic algorithm
ZHANG Jihong1, JI Weicheng2
1. Inner Mongolia Key Laboratory of Solar and Wind Power, Inner Mongolia University of Science and Technology, Baotou 014010, China;
2. School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou 014010, China
Abstract: In order to cope with the adverse effects on the power system caused by randomness and volatility of photovoltaic generation system, the photovoltaic output power characteristic is analyzed on the perspective of probabilistic power flow, and the feasible access scheme of energy storage is proposed to inhibit this adverse effect. Firstly, the component probability distribution model and energy storage placement and sizing model are introduced, and the view that using random walk-latin hypercube sampling (RWLHS) to analyze and sort the samples is proposed. Secondly, in order to reduce the cost of energy storage investment, the over-limitation probability of branch active power and network loss, the optimization objective function is established and the optimal solution is obtained by solving objective function. Finally, the simulation testing are carried out on the IEEE 24 and IEEE 17 bus test system. The results show that: with the increase of photovoltaic capacity, the impact degree of the system increases, and with the increase of energy storage capacity, the impact degree of the system decreases. With the increase of photovoltaic penetration, the capacity of energy storage to reduce network loss is significantly improved; at the same time, photovoltaic power generation can improve the ability of energy storage to use valley time electricity price charging, and enhance peak load shifting and valley filling arbitrage.
Keywords: optimal allocationof energy storage;power flow calculation;smooth suppression of fluctuations;improved genetic algorithm
2021, 47(1):160-168  收稿日期: 2020-07-21;收到修改稿日期: 2020-08-24
基金项目:
作者简介: 张继红(1975-),男,内蒙古乌兰察布市人,教授,博士,研究方向为新能源发电及其储能控制技术
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