基于需求响应的居民可控能效负荷优化

为解决居民生活用电需求不断增加，居民生活用电方式不合理造成能源浪费越来越严重的问题，从居民用户的可控能效负荷入手，对典型可控能效负荷空调、热水器和照明负荷进行分析，建立负荷能耗数学模型，根据其运行特性，结合居民用户用电习惯和分时电价，制定居民可控能效负荷优化策略；建立以居民用户用电成本和用电满意度为目标的优化模型。为提高和声搜索算法的求解速度与计算精度，对其参数进行动态调整，并与差分进化算法进行融合，应用于可控能效负荷的优化求解。算例结果表明了改进算法具有较好的收敛性和较高的准确性，验证了居民可控能效负荷优化策略的可行性，实现了从需求响应的角度对可控能效负荷进行优化管理的思想。

Optimization of Resident Controllable Energy Efficiency LoadBased on Demand Response

In order to solve the problem of energy waste caused by the increasing demand for household electricity and the unreasonable mode of household electricity consumption, the typical controllable energy efficiency load of air conditioning, water heater and lighting is analyzed, and the mathematical model of load energy consumption is established. According to its operation characteristics, combined with the electricity consumption habits and time-of-use prices of household users, the optimization strategy of the controllable energy efficiency load of household users is made for, and with the electricity cost and the satisfaction degree of household users as the object, the optimization model is set up. To improve the speed and accuracy of harmonic search algorithm, parameters are dynamically adjusted and integrated with differential evolution algorithm to optimize the solution of controllable energy efficiency load.. The example results show that the improved algorithm has better convergence and higher accuracy, verifies the feasibility of the optimization strategy, and achieves the idea of optimal management of controllable energy efficiency load from the perspective of demand response.