考虑多种分布式电源及其随机特性的配电网多目标扩展规划

为了增强新建配电网环网转供能力,提高供电可靠性,同时减小投资和运行维护成本,提出了一种分布式电源(DG)选址定容和多供电途径的网状新建配电网协调规划方法。该方法建立了考虑经济性、可靠性和稳定性的多目标优化模型,优化求解采用两层嵌套的粒子群算法。在规划中考虑了风电、光伏、燃气轮机、储能电池4种DG的选址和定容。针对输出功率不确定的DG,建立了概率模型,利用多状态系统理论,将随机性问题转化为确定性问题。最后以某开发区的实际配电系统为例,验证了所提模型和方法的合理性。

Multi-objective Expansion Planning of Active Distribution Systems Considering Distributed Generator Types and Uncertainties

In order to enhance the ability of load transfer of the new meshed network and improve power supply reliability while reducing cost, this paper presents an integrated methodology for expansion planning of the active distribution network based on the particle swarm optimization (PSO) algorithm. The method proposed deals with the coordinated planning of distributed generator (DG) units and a meshed distribution network with multiple power supply paths by taking into consideration the uncertainty related to renewable DG output power. A multi-objective optimization model is proposed considering economic efficiency, reliability and stability. Double nested PSO is used to solve the optimization problem. The siting and sizing of four types of DG, including wind power, photovoltaic solar energy, gas turbine and energy storage battery are reviewed. Uncertainties related to demand and power supplied by DG units are represented through multi-state probability models. Then in each state, the expectation of output power is used instead of random values. The rationality of the method proposed is verified by results concerning an actual test system in a certain development zone.