基于改进粒子群优化算法的可用输电能力求解

Available Transfer Capability Calculation Using Improved Particle Swarm Optimization Algorithm

针对可用输电能力问题的复杂性,非线性及控制变量的多样性,使用一种改进的粒子群优化算法求解,建立了基于最优潮流的可用输电能力的求解模型。建立了自适应惯性权重策略,使用动态压缩搜索空间策略对控制变量的约束空间进行动态的调整。IEEE_30节点算例验证了所提算法的有效性和准确性,结果表明:在保留了标准粒子群算法的固有优势的前提下,进一步增强了算法的收敛能力,提高了算法的适应性和收敛速度。

Pointing to the complexity,nonlinear and variability of control variable of the available transfer capability（ATC）,an improved particle swarm optimization（IPSO） algorithm was used.A mathematical model based on optimal power flow（OPF） was established.Based on the search characteristics of PSO,a new self-adaptive adjustment strategy of inertia-weighted factor was proposed,which elevates the adaptability of PSO and accelerates convergence-speed of PSO.In the light of the characteristics of the constraints space of control variable,an inequality constraint treatment mechanism called as dynamic search space squeezing strategy was used to dynamically readjust the search space during the calculating process,which further improves the ability of convergence simultaneously and the inherent basics of conventional PSO algorithm was also preserved.A case study of IEEE-30 power system demonstrated the validity and accuracy of strategies proposed.