住宅小区负荷群用电优化策略研究

Study on optimization strategy of load group power consumption in residential area

针对一般住宅小区存在能耗高、缺少用电优化策略的实际情况,建立了可调整类负荷、不可调整类负荷、温控负荷的数学模型;根据可调整类负荷用电时间灵活的特点,提出了基于蚁群算法的住宅小区可调整类负荷群的用电优化策略;基于MATLAB平台,通过仿真分析了空调、电热水器的工作特性,并根据其工作特性分别提出了改变空调设定室温范围的空调群用电优化策略和改变水温设定值与预加热相结合的电热水器群用电优化策略;利用蒙特卡洛法进行模拟,得到了小区优化前后各类负荷曲线和总负荷曲线。模拟和仿真结果表明,所提出的住宅小区用电优化策略能够在对用户影响较小的情况下达到帮助用户节省电费和削峰填谷的目的。

Aiming at the actual situation of high energy consumption and lack of power consumption optimization strategy in general residential community,this paper firstly establishes the mathematical models of adjustable load,non-adjustable load and temperature control load.According to the characteristic of time flexibility of adjustable load,an optimal power consumption strategy of residential community based on ant colony algorithm is proposed in this paper.The working characteristics of air conditioner and electric water heater are obtained by simulation analysis on MATLAB platform.According to the working characteristics,the optimal strategy of group electricity consumption of air conditioner by changing setting temperature range of air conditioner and the optimal strategy of group electricity consumption of electric water heater by changing the setting value of water temperature and preheating are proposed.Finally,the Monte Carlo method is adopted to simulate,and various load curves and total load curves before optimization and after optimization are obtained.Simulation results show that the proposed strategy can help users to save electricity costs and reduce peak load shaving under the circumstance that it has little impact on users.