计及供电方收益的分时电价优化

峰谷分时电价是电力需求侧管理的一个重要手段。基于利益驱动,用户对变化的电价作出响应,自动地调整用电时间和用电量,从而实现负荷曲线的削峰填谷,达到延缓投资、提高电网运行稳定和经济性的目的。以峰谷差最小为目标、用户利益和供电方合理利润等为约束,以负荷转移率模拟电价响应行为,建立了分时电价优化模型。模型求解采用遗传算法。最后,通过算例分析分时电价下的用户响应效果,验证了模型及方法的有效性,并分析了不同的时段划分对用户响应的影响。

Optimization of Time-of-use Electricity Price Taking into Account Profit of the Power Supplier

Peak-valley time-of-use electricity pricing is an important means for power demand side management.Driven by interest, the user will respond to the changing price and automatically adjust the time and amount of its electricity consumption, so that peak shaving and valley filling of the load curve is realized to attain the purpose of investment delay and improvement of stability and economy of grid operation.Aiming at minimization of peak-valley difference and confined by user interest and power supplier's reasonable profit, we use load transfer rate for simulation of price response action to establish a time-of-use price optimization model, which is solved in the genetic algorithm.Finally, user response to time-of-use price is analyzed through calculation examples, and the effectiveness of the model and approach is verified.Furthermore, influence of different time segment division upon user response is analyzed.