考虑实时需求的冷热电联供型微电网优化调度

Optimal Scheduling of CCHP-based Microgrid Considering Real-time Demand

冷热电联供型微电网通过对各分布式电源进行整合管理,既提高了可再生能源利用效率,减轻了环境污染,又保障了系统的稳定性。基于各微源自身不确定性及微网结构的复杂性,文中提出一种基于日前初始用电负荷需求并结合电价激励及用户侧用电舒适度的综合实时用电需求优化模型,实现负荷从高峰向非高峰转移,并采用遗传算法的多目标优化算法进行实验,验证了该模型能使负荷需求曲线明显平缓,各微源出力相对均衡,证明了该模型的科学性和有效性。

Through the integrated management of distributed power sources, the combined cooling, heating and power(CCHP)-based microgrid not only improves the efficiency of renewable energy utilization and reduces the environmental pollution, but also ensures the stability of the system. Based on the uncertainty of each micro-source and the complexity of microgrid structure, a comprehensive real-time power demand optimization model based on the pre-day initial load demand and combined with electricity price incentive and user-side electricity comfort is proposed, in which the shift of load from peak to non-peak is realized. And the multi-objective optimization algorithm based on genetic algorithm is adopted to prove that the proposed model can make the load demand curve obviously smooth and the output of each micro-source is relatively balanced, which proves the proposed model is scientific and effective.