含多种分布式电源的配电网重构优化研究

Distribution network reconfiguration with a variety of DGs

考虑多种分布式电源(DG)的影响,形成配电网重构优化的新方法。该方法以网损期望最小为优化目标,运用以配电网环路数为抗体长度的十进制编码策略及疫苗接种策略;并将多种DG的功率计算加入改进牛拉法配电网潮流计算模型中,考虑水轮机等DG的功率可调性及风电等DG的功率随机性,得到考虑功率随机DG出力概率的网损期望;将免疫算法与邻域搜索进行融合,形成邻域搜索免疫算法,有效克服了免疫算法在迭代末期局部搜索能力差的弊端。IEEE33节点模型加入DG后计算结果表明,含多种DG的配电网通过重构可以在优化DG出力的同时实现网损期望的最小化。

A new optimization method of distribution network reconfiguration is formed with consideration of the impact of various types of distributed generations （DGs）. The method takes network loss expectation minimum as the optimization objective, uses decimal code strategy which takes the number of loops in the distribution network as code length and adopts immune algorithm; the improved Newton-Raphson method is used with the power calculation of a variety of DGs. DG with adjustable power such as hydraulic turbine and with random power such as wind power is considered to get the optimal solution. Immune algorithm is improved using neighborhood search to enhance the ability of convergence in the optimization of distribution network, which effectively overcomes the drawbacks of local search in latter iterations of immune algorithm. Results of IEEE 33-node model show that after optimization, expectation of net loss can be minimized with power of DG being optimized simultaneously.