基于电压稳定影响的多目标无功优化研究

Study of Multi-objective Reactive Power Optimization Based on Voltage Stability

传统的无功优化问题常以经济性指标为主,会使系统运行在临界点附近,极易引发电压崩溃事故。在传统无功优化模型基础上,综合考虑系统有功网损最小、电压波动最小和静态电压稳定裕度最大,建立了集经济运行和安全稳定于一体的多目标优化模型。针对约束多目标优化问题提出了一种多策略多目标粒子群优化算法(MSMOPSO)。将提出的MSMOPSO算法应用到多目标无功优化问题中,通过对IEEE-30节点系统进行仿真校验,结果表明所提算法在收敛速度、精度及鲁棒性上均具有明显优势,是求解多目标无功优化的有效方法。

Traditional reactive power optimization problem mainly considers the economic index, it makes power system operate near the critical point, which easily causes the voltage collapse accident. On the basis of the traditional reactive power optimization model, a multi-objective reactive power optimization model considering economy operation and security and stability is established, where the active power loss minimization, voltage fluctuation minimization, static voltage stability margin maximization are taken comprehensively on the premise. A new multi-strategy multi-objective particle swarm optimization （MSMOPSO） is put forwards for solving constrained multi-objective optimization problems. MSMOPSO algorithm is applied to the multi-objective reactive power optimization problem, and IEEE 30-node is used as the simulation and calibration. It is shown that the superiority of the proposed approach on convergence speed, accuracy and robustness is better, and is a practical and effective method for solving the muhi- objective reactive power optimization problem.