含分布式发电的配电网多目标无功优化策略研究

为以最省的无功设备投资、最大限度地保证系统经济运行，增加解决问题的灵活性，研究了含分布式发电(DG)的配电网多目标无功优化策略，即构建含DG的配电网多目标无功优化模型。运用自适应多目标粒子群(AMOPSO)算法求解此问题，一改传统将多目标问题转化为单目标求解的做法。为验证所提策略，以含DG的IEEE 33节点系统为例，将AMOPSO应用于以最小化系统有功网损和最小化无功补偿设备容量（投资）为目标函数的多目标无功优化问题。仿真表明，采用该策略为决策者提供了可供选择的多样性解；优化结果验证了所建多目标模型的优越性和所提算法应用的可行性和有效性。

Multi-objective reactive power optimization of distribution system penetrated with distributed generation

Considering economic operation of the power system with appropriate investment and flexible solution of studied problem with a variety of diverse choices, multi-objective reactive power optimization (MORPO) of distribution system penetrated with distributed generation (DG) is investigated. A multi-objective model for MORPO is constructed and an adaptive multi-objective particle swarm optimization (AMOPSO) algorithm is proposed and applied to nonlinear multi-objective problems with continuous and discrete variables. For demonstrating the feasibility and effectiveness of the proposed model and the application of AMOPSO, simulation results and analysis are carried out with IEEE 33-bus system, which shows the new algorithm can provide multiple solutions for decision makers.