考虑可再生能源发电与负荷时序性的配电网无功规划  被引量:6

Reactive Power Planning of Distribution Network Considering Renewable Energy Generation and Load Timing

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作  者:李国梁 韩军峰 马平[3] LI Guoliang;HAN Junfeng;MA Ping(Shandong Zhenghan Survey and Design Institute Co.,Ltd.,Jinan,Shangdong 250100,China;Rizhao Power Supply Company of State Grid Shandong Electric Power Company,Rizhao,Shandong 276800,China;College of Electrical Engineering,Qingdao University,Qingdao,Shandong 266071,China)

机构地区:[1]山东正瀚勘察设计院有限公司,山东济南250100 [2]国网山东省电力公司日照供电公司,山东日照276800 [3]青岛大学电气学院,山东青岛266071

出  处:《广东电力》2021年第9期45-50,共6页Guangdong Electric Power

基  金:山东省重点研发计划项目(2017GGX50114)。

摘  要:为了更好地解决高比例可再生能源并网发电后配电网无功规划问题,提出一种新的规划方法。首先依据系统侧向配电网供电有功功率的大小,将一年8760个运行时段分为3个集合,通过功率最大的集合确定容性无功补偿容量,通过功率最小的集合确定感性无功补偿容量。在寻优过程中:以系统新增无功补偿费用最小为目标函数;采用三点估计法求解概率潮流,处理可再生能源发电量和负荷的时序性;采用改进粒子群优化算法,优化备选节点的无功补偿容量。最后,以改进IEEE 33节点系统为算例进行仿真验证,结果表明所提方法简单有效。In order to better solve the problem of reactive power planning of the distribution network after high-proportional power generation connecting to the grid,a new planning method is proposed in this paper.Firstly,according to the amount of active power from the system supplied to the distribution network,8760 operating periods in a year are divided into three sets.The capacitive reactive power compensation capacity is determined by the set with the largest power,and the inductive reactive power compensation capacity is determined by the set with the smallest power.In the process of optimization,the minimum cost of reactive power compensation is taken as the objective function,the three-point method is used to solve the probabilistic power flow to deal with the timing of renewable energy generation and load,and the improved particle swarm optimization algorithm is used to optimize the reactive power compensation capacity of the candidate nodes.Finally,the improved IEEE 33 bus system is taken as an example to verify the method.The results show that the proposed method is simple and effective.

关 键 词:分布式电源 概率潮流 无功规划 粒子群优化算法 

分 类 号:TM715.3[电气工程—电力系统及自动化]

 

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