计划孤岛下家庭负荷两阶段优化调度策略  

Two Stage Optimal Scheduling Strategy of Household Load under Planned Outage

作　　者：崔丹 王向文 胡晨阳 杨邓 CUI Dan;WANG Xiangwen;HU Chenyang;YANG Deng(School of Electronic and Information Engineering,Shanghai University of Electric Power,Shanghai 200090,China)

机构地区：[1]上海电力大学电子与信息工程学院,上海200090

出　　处：《实验室研究与探索》2022年第9期92-96,139,共6页Research and Exploration In Laboratory

基　　金：国家自然科学基金项目(61202369,61401269,61572311);上海市科技创新行动计划地方院校能力建设项目(17020500900);上海市教育发展基金会和上海市教育委员会“曙光计划”(17SG51)。

摘　　要：为合理利用孤岛状态下家庭微电网的有限能量,科学规划各家庭负荷的用电时间,提出计划孤岛下家庭负荷两阶段优化调度策略。在日前阶段,建立能满足不可调度用电任务用电需求,同时兼顾可调度用电任务用电满意度的优化调度模型,使用改进遗传算法求解各时段的负荷用电策略。在日内阶段,依据模型预测控制(MPC)滚动优化调度方法减少不确定性因素,实时跟踪日前储能荷电状态计划值,建立源储荷预测误差模型,在日前阶段基础上实时优化负荷投切方案。仿真结果表明,所提策略充分利用有限能量,有效提高可调度用电任务的用电满意度。In order to rationally utilize the limited energy of the household microgrid in the islanded state,and scientifically plan the electricity consumption time of each household load,a two-stage optimal dispatching strategy for the planned household load under the island is proposed.In the previous stage,an optimized dispatch model is established that can meet the power demand of non-dispatchable power tasks.It takes into account the satisfaction of the power consumption of dispatchable power tasks,and uses improved genetic algorithms to solve the load power consumption strategy for each time period.In the intraday stage,the rolling optimization scheduling method based on model predictive control(MPC)reduces the uncertainty factors,tracks the planned value of the energy storage charge state of the day in real time,establishes the source storage charge prediction error model,and optimizes the load switching scheme in real time on the basis of the previous stage.Simulation results show that the proposed strategy makes full use of the limited energy,and effectively improves the power satisfaction of the schedulable power consumption task.

关 键 词：计划孤岛 家庭负荷 预测误差 优化调度 

分 类 号：TM732[电气工程—电力系统及自动化]