考虑电网输电能力改善的超导储能装置优化选址定容  

Optimal Locating and Sizing of Superconducting Magnetic Energy Storage Device for Transfer Capability Improvement of Power Grid

作　　者：宋柄兵 顾洁[1] 

机构地区：[1]上海交通大学电气工程系电力传输与功率变换控制教育部重点实验室,上海200240

出　　处：《电力系统及其自动化学报》2017年第11期92-98,共7页Proceedings of the CSU-EPSA

摘　　要：超导储能装置接入电网后,能够改善网络潮流分布、优化系统运行、有效提高电网输电能力。首先分析了超导储能装置功率输出特性,在建立计及超导储能装置接入的电网最大输电能力计算模型基础上,综合考虑超导储能装置的投资费用及其接入电网所带来的输电能力提高对应的折现收益;然后以接入超导储能装置后系统净收益最大为目标函数,通过遗传算法求解得到超导储能装置的优化安装地点和容量,并进一步提出了基于灵敏度分析的SMES优化配置方法,以压缩搜索空间,提高模型求解效率;最后通过IEEE30节点系统仿真计算,验证了所提方法的有效性。With superconducting magnetic energy storage （SMES） device installed in power grid, the improvement in power flow distribution and optimal power system operation can be achieved. Especially, the transfer capability of power system can be improved effectively. In this paper, after the analysis of the output characteristic of SMES, a calculation model for the total transfer capability of power grid is established with the consideration of SMES installation, which can take both the cost of SMES and the benefit gained by the improved transfer capability after the installation of SMES into account. With the maximum system net profit as an objective function, genetic algorithm is used to determine the location and installation capacity of SMES. Furthermore, an improved optimal allocation method based on sensitivity analysis is proposed to reduce the searching space and increase the solving efficiency. It is demonstrated by an IEEE 30-node system that the proposed algorithm can deal with the locating and sizing problem of SMES effectively.

关 键 词：超导储能 最大输电能力 选址定容 净收益 灵敏度分析 遗传算法 

分 类 号：TM732[电气工程—电力系统及自动化]