摘要
可再生能源发电的间歇性和居民用电的主观性制约家庭能源最优调度。文章提出一种基于双蓄电池组的家庭可再生能源日内实时优化策略。首先,根据预测将可再生能源划分为确定部分和不确定部分,对蓄电池存储系统划分为充电组和调度组,其中不确定部分单独存储在充电组;然后,在考虑可再生能源发电的确定部分、家庭负荷特性、蓄电池约束和分时电价的基础上,建立以用电成本最小化为目标的日内实时优化模型;最后,采用遗传算法对模型进行求解。算例结果表明,文章策略能降低用电成本,减少发电和用电不确定性对能源最优调度的影响。
The intermittent nature of renewable energy generation and the subjectivity of consumption are the two major factors constraining the optimal scheduling of home energy. In this paper, a real-time optimization strategy for household renewable energy based on dual battery packs was proposed. First, renewable energy generation is divided into the certain part and the uncertain part based on the interval prediction. The battery storage system is divided into the charging group and the scheduling group, and the uncertain part is separately stored in the charging group. Then, based on the certain part of renewable energy, family load characteristics, battery constraints, and time of use price, a real-time home energy optimization model with the goal of minimizing electricity costs was established. Last, the genetic algorithm was used to solve the optimization model. The results of calculation examples show that the proposed strategy can not only reduce the electricity cost, but also reduce the impact of uncertainty of generation and consumption on energy optimal dispatch.
作者
李盛林
杨俊杰
Li Shenglin;Yang Junjie(College of Electronics and Information Engineering,Shanghai University of Electric Power,Shanghai 200090,China)
出处
《可再生能源》
CAS
北大核心
2019年第7期1007-1014,共8页
Renewable Energy Resources
基金
国家自然科学基金项目(61202369)
上海市教育委员会“曙光计划”(17SG51)
关键词
需求响应
家庭能源管理
不确定性
双蓄电池组
实时优化
demand response
home energy management
uncertainty
dual battery packs
real-time optimization
