基于蚁狮算法的多能互补微网经济调度

Economic Scheduling of Multi Energy Complementary Microgrid Based on Antlion Algorithm

随着社会更加重视多种能源互补应用、能源梯次、循环利用和能源利用效率,提出一种考虑激励型需求响应(Incentive demand response, IDR)以及供热/冷系统惯性的调度策略。先对含电转气设备(Power to gas, P2G)园区多能互补微网进行建模。在满足住户对室内环境温度的前提下,利用供热/供冷系统的冷热惯性,发挥供热/冷系统‘储能’特性,实现柔性供冷供热,并引入激励型需求响应转移用户负荷的分布实现电力的调节。采用蚁狮算法以微网经济调度总成本最小为目标,来求解多能互补微网的协调调度。算例仿真验证了所提出的调度策略的有效性和合理性。

With the society paying more attention to the complementary application of multiple energy sources, energy cascade, recycling and energy utilization efficiency, this paper proposes a scheduling strategy considering the Incentive demand response(IDR) and the inertia of heating/cooling system. Firstly, the multi-energy complementary microgrid in P2G campus was modeled. Secondly, on the premise of meeting the indoor environmental temperature of residents, the heat and cold habits of the heating/cooling system were used to give full play to the’ energy storage’ characteristics of the heating/cooling system to realize flexible cooling and heating;Then, the incentive demand was introduced to respond to the distribution of the transfer user load, so as to realize the power regulation. Finally, antlion algorithm was used to solve the coordinated scheduling of multi-energy complementary microgrid with the goal of minimizing the total cost of economic scheduling. Simulation results show that the scheduling strategy proposed in this paper is effective and reasonable.