Research on Multi-Objective Optimal Reactive Power Compensation Based on Chaos-Genetic Hybrid Algorithm
Voltage fluctuations in power systems arise due to the presence of inductive and capacitive loads.To address the accuracy of reactive power compensation,this paper proposes a multi-objective reactive power com-pensation method based on hybrid algorithms.Initially,a combination of chaos and genetic algorithms is used,where the genetic algorithm's global search capability finds a good set of initial solutions,followed by local search and optimization using the chaos algorithm.A multi-objective reactive power compensation optimization model is then constructed.Experimental analysis on an IEEE 30-node system demonstrates that the proposed method ef-fectively improves the accuracy of reactive power compensation,thereby enhancing the reliability of power system operations.
power systemvoltage fluctuationsreactive power compensationchaos algorithmgenetic algorithm
NETL
NSTL
万方数据
