摘要
受系统阻抗分布以及换流站控制方式的影响,双极直流电网在正常运行时一般不会在最优运行点附近运行,这将导致系统网损较大且可承受的外界冲击能力大大减小。针对以上问题,将单纯形法的思想与物种“进化机制”引入人工鱼群算法中,提出一种新型的双鱼群算法。该算法通过单纯形精英鱼群与普通鱼群并行搜索,然后再将复合鱼群按一定规律的“进化”思想来进行寻优。最后将其应用到直流电网的潮流优化问题,以网损与电压不平衡度作为优化目标进行优化。结果表明:该算法可以对下垂控制换流站的控制参数进行实时优化,来保证整个系统始终在最优点附近运行,保证了直流电网的安全性与经济性。
Affected by the distribution of system impedance and the control method of the converter station,the bipolar DC grid generally does not operate near the optimal operating point during normal operation,which will cause the system to have large power loss and greatly reduce the ability to withstand external shocks. In response to the above problems,the idea of the simplex method and species "evolution mechanism" are introduced into the artificial fish school algorithm,and a new double fish swarm algorithm is proposed. The algorithm uses the simplex elite fishes to search in parallel with the ordinary fishes,and then the compound fish swarm is optimized according to a certain rule of "evolution". Finally,it is applied to the power flow optimization of the DC grid and the power loss and voltage imbalance are used as the optimization objectives. The results show that the algorithm can optimize the control parameters of droop control converter station in real time,so as to ensure that the whole system always runs near the best point,and ensure the security and economy of the DC power grid.
作者
管恩齐
何晋
骆通
GUAN Enqi;HE Jin;LUO Tong(School of Electrical Information Engineering,Yunnan Minzu University,Kunming 650000,Yunnan,China)
出处
《电网与清洁能源》
北大核心
2022年第10期35-43,50,共10页
Power System and Clean Energy
基金
云南省教育厅科学研究基金项目(2021Y654)。
关键词
鱼群算法
单纯形法
双极直流电网
电压下垂控制
最优潮流
fish swarm algorithm
simplex method
bipolar DC grid
voltage droop control
optimal power flow
