基于量子差分进化算法的分布式电源协调优化调度

Coordinated Optimal Dispatching of Distributed Generation Based on Quantum Differential Evolution Algorithm

针对计及需求响应计划的分布式电源系统经济运行问题,建立了一种考虑燃料费用和运行管理费用、电网交互费用、可中断负荷停运补偿费用和需求侧电费支出费用等的综合优化数学模型。同时为实现能量的有效互动,优化模型中加入了需求响应模型。提出一种量子差分进化算法对优化模型进行求解。该算法基于差分进化思想,采用量子计算中的并行、坍缩等特性,并在选择策略中考虑量子位的概率特性,具有较强的鲁棒性和全局搜索能力。通过算例分析证明文中提出的模型和算法科学、有效。

In allusion to economic operation of distributed generation（DG） system considering demand response,a comprehensive optimal mathematical model,in which the fuel cost and the cost of operation and management,the interaction cost,the compensation cost for the outage of interruptible loads and electricity cost of demand side are taken into account,is established.Meanwhile,to implement effective interaction of energy a demand side response model is added to the established optimal model.A kind of quantum differential evolution（QDE） algorithm is proposed to solve the established optimal model.Based on the idea of differential evolution and using parallel and collapse properties of the quantum calculation theory and considering probabilistic nature of quantum bit in the selection strategy,the proposed algorithm possesses strong robustness and global searching ability.Calculation results of a microgrid containing different kinds of DGs show that the established coordinated optimal dispatching model and the proposed algorithm are reasonable and effective.