含高比例风光新能源电网的多目标无功优化算法  

Pareto-Based Multi-objective Reactive Power Optimization for Power Grid with High-Penetration Wind and Solar Renewable Energies

作　　者：杨蕾 吴琛 黄伟 郭成 向川 何鑫 邢超 奚鑫泽 周鑫 杨博[3] 张孝顺 YANG Lei;WU Chen;HUANG Wei;GUO Cheng;XIANG Chuan;HE Xin;XING Chao;XI Xinze;ZHOU Xin;YANG Bo;ZHANG Xiaoshun(Electric Power Research Institute,Yunnan Power Grid Co.,Ltd.,Kunming 650200,China;Power Dispatching Control Center,Yunnan Power Grid Co.,Ltd.,Kunming 650051,China;Faculty of Electric Power Engineering,Kunming University of Science and Technology,Kunming 650500,China;College of Engineering,Shantou University,Shantou 515063,Guangdong Province,China)

机构地区：[1]云南电网有限责任公司电力科学研究院,昆明市650200 [2]云南电网有限责任公司电力调度控制中心,昆明市650051 [3]昆明理工大学电力工程学院,昆明市650500 [4]汕头大学工学院,广东省汕头市515063

出　　处：《电力建设》2020年第7期100-109,共10页Electric Power Construction

基　　金：国家自然科学基金项目(61963020);云南电网公司科技项目“多直流与高比例新能源的云南电网稳控拓展技术研究与闭环仿真平台”(KJDK2018210)。

摘　　要：为适应新能源大量接入电网的趋势,基于不同时刻的风速、光照强度、温度等气象条件信息,评估出风光新能源的无功调节容量,搭建了含高比例风光新能源参与调控的电网多目标无功优化模型。为快速获得电网中变压器分接头档位调节、无功补偿设备投切、传统发电机组电压调节以及风光的无功输出等控制措施的帕累托最优解集,采用寻优性能高效的多目标樽海鞘群算法(multi-objective salp swarm algorithm,MSSA)进行无功优化求解。为更客观找出电网线损、电压偏差、静态电压稳定裕度等不同目标之间的折中解,采用改进的理想点法进行多目标最优解集决策。最后,利用扩展的IEEE标准9节点和39节点算例进行仿真分析,并引入传统多目标智能优化算法来进行比较验证。仿真结果表明:与其他2种传统多目标智能优化算法相比,所提算法获得的帕累托前沿分布更广、更均匀;利用改进理想点法进行决策之后,可有效降低电网的线损和电压偏差,同时提高了电网的静态电压稳定裕度。To adapt the trend of high-penetration renewable energies paralleled in power grid,this paper constructs a multi-o bjectiv e reactive power optimization for power grid with the co ntrolled participation of high-penetration wind and solar renewable energies.Particularly,the reactive power regulation capacities of renewable energies are evaluated according to the wind speed,solar irradiation,and temperature in different time.To obtain the optimal dispatch scheme of transformer taps,shunt capacitor states,voltage outputs of generators,and reactive power outputs of renewable energies,a multiobjective salp swarm algorithm(MSSA)is employed for the multi-objective reactive power optimization.Then an improved ideal-point based decision method is designed to select a compromise solution among multiple non-dominated points,thus three objectives of power loss,voltage deviation,and static voltage stability margin can be properly balanced.Finally,an extended IEEE 9-bus system and an extended IEEE 39-bus system are used to evaluate the performance of the proposed algorithm compared with conventional multi-objective intelligent optimization algorithms.Simulation results demonstrate that the proposed algorithm can obtain a widely spread and well-distributed Pareto front compared with conventional multiobjective optimization algorithms.Moreover,the improved ideal-point based decision method not only can effectively reduce the power loss and voltage deviation,but also can improve the static voltage stability margin.

关 键 词：风光新能源 帕累托 多目标优化 无功优化 多目标樽海鞘群算法(MSSA) 

分 类 号：TM76[电气工程—电力系统及自动化]