融合分时电价的居民可控负荷优先级控制策略

Priority Control Strategy of Residential Controllable Load Based on Time-of-Use Price

在智能电网背景下,智能终端及智能家电大规模普及导致家庭用电量大幅增加,为应对电力负荷高峰逐年攀升,缓解电力供应趋紧的压力,合理利用用户侧大量可控负荷资源参与需求响应对电网的运行和发展有重要意义。提出基于智能家庭能量管理系统的融合分时电价的居民可控负荷优先级控制策略,对家庭中多类可控负荷(空调、热水器、电动汽车、洗衣机、洗碗机)进行控制,在“填谷”控制中考虑分时电价的影响。通过仿真验证对多场景下居民负荷用电进行对比分析,结果证明,所提控制策略可改善电网负荷曲线,实现削峰填谷,在满足用户用电舒适度的同时,进一步为用户节约用电成本,验证了所提方法的有效性。

Under the background of smart grid,the large-scale popularization of smart terminals and smart appliances has led to a substantial increase in household electricity consumption.To cope with the increasing power load peak year by year and relieve the pressure of tight power supply,it is of great significance for the operation and development of power grid to reasonably utilize a large number of controllable load resources on the user side to participate in demand response.A priority control strategy of residents'controllable load based on smart home energy management system(SHEMS)integrated with time-of-use price was proposed to control multiple types of such controllable loads as air conditioning,water heater,electric vehicle,washing machine,dishwasher in the family,and the influence of time-of-use price was considered in the"valley filling"control.Simulation results show that the proposed control strategy can improve the load curve of power grid,realize peak load shifting and valley filling,and further save electricity cost for users while meeting the power consumption comfort of users,thus,the effectiveness of the proposed method was verified.