基于动态调度优先级的主动配电网多目标优化调度

Multi-Objective Optimization Dispatch of Active Distribution Network Based on Dynamic Schedule Priority

供需互动的主动配电网调度技术为应对可再生能源的高比例接入提供了新的思路。在多种不确定性的环境下,本文建立了需求侧资源(如柔性负荷、电动汽车等)和供给侧资源(如储能装置、可控分布式电源等)互动调度机制,综合考虑可调度资源的实时状态和历史数据信息,建立可调度资源动态调度优先级(DSP)评估体系。在此基础上,根据DSP评估结果对各类可调度资源进行协调控制,以达到调度成本最小、可再生能源利用率最大以及用户满意度最高的主动配电网优化目标。最后结合某11节点配电网络,通过改进粒子群算法对调度模型求解,验证了调度模型和求解算法的有效性和可行性。

The dispatch technology of active distribution network which involves the interaction between supply side and demand side has provided a new idea to cope with the access of high proportion of renewable energy resources. Under the circumstance of various uncertainties, a interact dispatch mechanism is established in this paper, which considered the demand side resources （such as flexible load, electric vehicle） and supply side resources （such as energy storage system, controllable distribution generator）. The dynamic schedule priority evaluation system is also proposed, which take the real-state status information and historical date of schedulable resources into account. Based on the evaluation results, all kinds of schedulable resources are controlled to achieve the optimization dispatch goal, which is minimizing the dispatch costs, maximizing the utilization of renewable energy resources, and promoting the consumer satisfaction level. Finally, improved particle swarm optimization is applied in this paper to solve the dispatch model, and numerical simulations on a 11-bus distribution network illustrate the effectiveness and feasibility of the dispatch model and the optimal algorithm.