基于自适应粒子群算法优化DG的配网静态电压稳定性提高策略

为了改善配电网络的静态电压稳定性，提出一种接入分布式电源优化布置的方案。基于IEEE33节点配电网络和Matlab仿真测试软件平台，以静态电压稳定指标L(Voltage Stability Index)和最大电压偏差最小为目标函数，以最大电压偏差小于7%为约束条件，应用自适应粒子群算法(Adaptive Mutation Particle Swarm Optimization Algorithm, AMPSO)对配电网络中DG的接入进行优化布置，从而提高了整个配电网络的静态电压稳定性。并通过重庆某地区的实际配电网络进行实例验证，证明方案的正确性和可行性。该研究所提出的方案，对配电网络静态电压稳定性的改善有一定的指导意义。

Improved strategy of the static voltage stability of distribution network based on adaptive particle swarm optimization algorithm for DG

In order to improve the static voltage stability of distribution network, a scheme of distributed generation access optimization is proposed. The conclusions obtained from the test system may be available for multiple-DGs connected to distribution networks. Based on IEEE 33 bus distribution network and MATLAB simulation test software platform, this paper takes the static voltage stability index L and maximum voltage deviation minimum as the objective function, considers the maximum voltage deviation less than 7 percent as the constraint condition, and applies adaptive particle swarm optimization algorithm (adaptive mutation particle swarm optimization algorithm, AMPSO) to optimize the layout of DG in distribution network access, thereby improving the static voltage stability of the entire distribution network. And through the actual distribution network in a certain area of Chongqing for example, the correctness and feasibility of the scheme is proved. The proposed scheme has certain guiding significance to the improvement of the static voltage stability of distribution network.