摘要
针对城镇住宅家庭设备等用能的特点,建立一种包含多种可调度负载的家庭用能模型。以最小用户电力成本和最小负荷峰均比为优化目标,提出一种日前优化调度策略,并采用一种改进的细菌觅食优化算法进行求解。考虑用户临时需求变化对日前优化调度结果的影响,提出一种对短时间内的用能安排进行重新调度的实时优化调度策略,并引入0-1背包问题和动态规划方程对上述问题进行求解。算例结果验证了所提策略和改进算法的有效性。
Aiming at the characteristics of energy consumption of urban residential household equipment,a model of household energy containing multiple schedulable loads is established in this paper.Taking the minimum user electricity cost and minimum load peak-to-average ratio as optimization goals,a day-ahead optimization scheduling strategy is proposed.An improved bacterial foraging optimization algorithm was proposed and applied to the optimization scheduling problem.Considering the impact of the user's temporary demand changes on the results of the day-ahead optimized scheduling,a real-time optimization scheduling strategy for rescheduling energy within a short period of time is proposed.And 0-1 knapsack problem and dynamic programming equation are introduced to solve the above problem.The results of the calculation example verify the effectiveness of the proposed strategy and the improved algorithm.
作者
于军琪
叶子雁
赵安军
李若琳
余紫瑞
YU Jun-qi;YE Zi-yan;ZHAO An-jun;LI Ruo-lin;YU Zi-rui(School of Building Services Science and Engineering,Xi’an University of Architecture and Technology,Xi’an,Shaanxi 710055,China)
出处
《软件》
2020年第10期59-65,共7页
Software
基金
国家重点研发计划项目(2017YFC0704100)
陕西省科技厅专项科研项目(2017JM6106)。
关键词
家庭能量管理
多目标优化
日前调度
细菌觅食算法
实时调度
Home energy management
Multi-objective optimization
Day-ahead scheduling
Bacterial foraging algorithm
Real-time scheduling
