考虑需求侧资源的智能小区综合能源日前优化调度

针对化石能源过度消耗和环境污染问题日益严重的情况,将需求侧资源利用纳入考虑范畴,进行供能侧与用户侧相结合的智能小区综合能源日前优化调度研究.在供能侧,建立接入光伏发电和风力发电的冷热电联供系统,考虑多能互补方式并提出一种增大可再生能源就地消纳的控制策略;在用户侧,提出一种较为精细的负荷分类方法,充分考虑家用储能和电动汽...

Day-ahead optimal scheduling of smart integrated energy communities considering demand-side resources

In view of the excessive consumption of fossil energy and the increasingly severe environmental pollution, the day-ahead optimal scheduling of smart integrated energy communities combined energy supply side and demand side is studied, in which the utilization of demand-side resources are considered. On the supply side, a combined cooling, heating and power system with photovoltaic and wind power generation is demonstrated. A control strategy is proposed to increase the accommodation of local renewable energy considering the multi-energy complementary way. On the demand side, a refined load classification method is proposed, which considers the charging and discharging functions of household energy storages and electric vehicles, the frequent starting and stopping of electric equipment, travel scheme of electric vehicles, and operating time constraints of related equipment. Moreover, the operation decisions are analyzed for cooling and heating demands with uncontrollable running time. By introducing the unit price of energy supply, the supply side and demand side are combined to carry out the day-ahead optimal scheduling. Simulative results demonstrate that the proposed method can effectively reduce the cost of both supply and demand sides, the environmental pollution and the peak-valley difference of electric demands.