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基于最优系统能效的配电网规划方法
作者姓名:谢伟  王哲斐  蔡秋烨  翁若方
作者单位:国网上海市电力公司青浦供电公司,上海四量电子科技有限公司,国网上海市电力公司嘉定供电公司,国网上海市电力公司
基金项目:国家电网有限公司科技项目(SGSHJX00KXJS1800777)
摘    要:在当今的配电网规划中,提升能效是最重要的目标之一。现有的配电网规划模型大都以经济性为目标。文中从配电网系统能效入手,提出基于最优系统能效的配电网规划模型,选取节点煤耗作为入手点,综合考虑配网网损、分布式电源规划等能效因素,可以较为全面地反映配网系统能效。在模型求解中,文中使用改进的粒子群(PSO)算法,在算法中加入惯性权值,可以在提高算法收敛速度的同时保证寻优结果的准确性,并给出了辐射网形态修正策略,确保规划结果的合理性。选取IEEE 33节点算例进行模型和算法验证,计算结果表明,文中的模型求解算法收敛快,稳定性高,配电网规划结果合理,有效提升了配网系统的能效水平,验证了文中配电网规划方法的有效性。

关 键 词:配电网规划  系统能效  粒子群(PSO)算法  惯性权值  分布式电源
收稿时间:2020/5/26 0:00:00
修稿时间:2020/7/10 0:00:00

Distribution network planning based on optimal system efficiency
Authors:XIE Wei  WANG Zhefei  CAI Qiuye  WENG Ruofang
Affiliation:State Grid Qingpu Power Supply Company of Shanghai Municipal Electric Power Company, Shanghai 201700, China;Shanghai Siliang Electronic Technology Co., Ltd., Shanghai 201400, China;State Grid Jiading Power Supply Company of Shanghai Municipal Electric Power Company, Shanghai 201800, China; State Grid Shanghai Municipal Electric Power Company, Shanghai 200050, China
Abstract:In today''s distribution network planning, improving energy efficiency has become one of the most important goals. Most existing distribution network planning models are aimed at economic efficiency. Starting from the energy efficiency of the distribution network system, this paper proposes a distribution network planning model based on the optimal system en-ergy efficiency. This model selects the node coal consumption as the starting point, comprehensively considering the en-ergy efficiency factors such as distribution network loss and distributed power planning, which can be more comprehen-sive Reflect the energy efficiency of the distribution network system. In the model solution, this paper uses an improved particle swarm optimization algorithm, adding inertia weights to the algorithm, which can improve the convergence speed of the algorithm while ensuring the accuracy of optimization, and gives a radiation network shape correction strategy to ensure the planning results rationality. Finally, this paper selects IEEE 33 node examples for model and algorithm verifica-tion. The calculation results show that the model solution algorithm in this paper has fast convergence and high stability, and the distribution network planning results are reasonable, which effectively improves the energy efficiency level of the distribution system and verifies The effectiveness of the distribution network planning method in this paper.
Keywords:Distribution Network Planning  System Efficiency  PSO  Inertia weight  Distributed Power
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