CHEN CHUNMENG, LIANG YING, ZHANG SHUJIE. Reactive Power Optimization of Power Grid Based on Multi-strategy Adaptive Particle Swarm Optimization Algorithm. [J]. Power capacitor & reactive power compensation, 2020, 41(4): 102-108.
CHEN CHUNMENG, LIANG YING, ZHANG SHUJIE. Reactive Power Optimization of Power Grid Based on Multi-strategy Adaptive Particle Swarm Optimization Algorithm. [J]. Power capacitor & reactive power compensation, 2020, 41(4): 102-108. DOI: 10.14044/j.1674-1757.pcrpc.2020.04.019.
In view of such issue as determining reactive power compensation point and reactive power compensation capacity in the reactive power compen s ation
in this paper
a kind of re active power optimiz ation method based on singular value decomposition and multi-strategy adaptive particle swarm optimization(IS-APSO) algorithm is proposed.Firstly
the weak node of voltage stability is taken as reactive power node based on the singular value decomposition in the power flow c alculation;then the reactive power compensation is optimized with minimum active power loss of line and node voltage deviation and maximum node stability as target.For solving such problem as reduction of convergence speed of algorithm and reduction of diversity of particle swarm in the later period of the optimization
MS-APSO algorithmis proposed to effectively seek optimal solution.The influence of diversity of particle swam
inertia weight
over-limit reset and mutation is considered comprehensively
which improves effectively the convergence rate of the algorithm at earlier stage and optimization ability at later stage.Finally
the effectiveness of the improved algorithm is verified in IEEE 118 calculation.It is shown by the result that the loss reduction rate of algorithm after improvement
compared to the traditional method
can improve by 38.6%.
关键词
电力系统无功优化奇异值分解粒子群优化算法(PSO)多策略自适应
Keywords
power systemreactive power optimizationsingular value decompositionparticle swarm optimization(PSO)multi-strategyself-adaptive