基于混合微分演化算法的配电网架结构智能规划

应用地理信息系统(GIS)和改进的微分演化(DE)算法组成混合微分演化(GDE)算法来进行配电网架结构的智能规划.该算法首先利用配电网络的地理特征,分阶段过滤明显不适合的线路,得到初步规划网络,随后利用DE算法收敛快速、鲁棒性强的特点,将其应用到优化计算中.为避免早熟,对传统DE算法进行了改进,利用解群转移策略在给定的条件下对解群进行分散处理,以跳出局部最优点,得到全局最优解.并给出了某省会城市的城区高压配电网规划算例.

An Intelligent Distribution Network Planning Method Based on Geographical Differential Evolution

Distribution network planning is a multi-goal multi-phase and multi-restriction problem that involves the geographical condition of power line route, construction and maintenance expenses, power line losses, power flow and security constraint. A model is proposed to minimize the work of planner while simplifying the network planning procedure. The geographical feature is carefully considered to minimize the optimal search scope and improve the efficiency. An improved differential evolution (DE) is used also in optimal calculation. The DE is far more efficient and robust compared to PSO and GA. The DE is improved to prevent the results from becoming locally optimized by adopting the probability distribution feature and regenerating a diverse population of individuals. The application of the method in a provincial capital power network shows that the optimal speed and robustness can be improved by adopting the improved DE and geographical feature pretreatment.