期刊
IEEE ACCESS
卷 8, 期 -, 页码 146785-146806出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2020.3014211
关键词
Optimal power flow (OPF); optimal reactive power dispatch (ORPD); particle swarm optimization (PSO); gravitational search algorithm (GSA); fractional calculus (FC)
资金
- National Key Research and Development Program of China [2018YFB1501302]
- Fundamental Research Funds for Central Universities [2018ZD09, 2018MS039]
In fact, optimal RPD is one of the most critical optimization matters related to electrical power stability and operation. The minimization of overall real power losses is obtained by adjusting the power systems control variables, for instance; generator voltage, compensated reactive power and tap changing of the transformer. In this search, a new heuristic computing method named as fractional particle swarm optimization gravitational search algorithm (FPSOGSA) is presented by introducing fractional derivative of velocity term in standard optimization mechanism. The designed FPSOGSA is implemented for the optimal RPD problems with IEEE-30 and IEEE-57 standards by attaining the near finest outcome sets of control variables along with minimization of two fitness objectives; active power transmission line losses (P-loss,MW) and voltage deviation (V-D). The superior performance of the proposed FPSOGSA is verified for both single and multiple runs through comparative study with state of art counterparts for each scenario of optimal RPD problems.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据