Binary Gravitational Search based Algorithm for Optimum Siting and Sizing of DG and Shunt Capacitors in Radial Distribution Systems

This paper presents a binary gravitational search algorithm (BGSA) is applied to solve the problem of optimal allotment of DG sets and Shunt capacitors in radial distribution systems. The problem is formulated as a nonlinear constrained single-objective optimization problem where the total line loss (TLL) and the total voltage deviations (TVD) are to be minimized separately by incorporating optimal placement of DG units and shunt capacitors with constraints which include limits on voltage, sizes of installed capacitors and DG. This BGSA is applied on the balanced IEEE 10 Bus distribution network and the results are compared with conventional binary particle swarm optimization.

基于径向线损的DG对配电网安全的影响研究

分布式电源并网对配电网有很大影响,包括电压水平、故障水平、线损、安全性、网络可靠性等方面,且其影响程度与分布式电源的容量和安装位置密切相关。本文基于径向式配电网、分布式电源的功率模型和恒功率静态负荷模型,分析和评估当两个等效的分布式电源系统同时并入简单径向配电网时,配电网线损的变化情况。文中,通过搭建理想模型,得出量化线损变化率的具体计算公式并对模型结果进行评述和讨论,将对未来提高线路输电效率的研究和保障配电网安全运行发挥重要作用。