摘要
为了制定出对需求侧管理各个参与方均有利的峰谷分时电价策略,首先对各参与方的成本、收入变化量进行分析,建立了合理的成本效益分析模型。并在此基础上创建了以峰谷电价比和拉开比作为决策变量的峰谷分时电价优化模型。然后通过宽容分层序列法将原模型的求解由多目标问题转换为单目标问题,再采用遗传算法求解单目标问题,得到满意的决策变量取值。最终根据该取值制定出优化的峰谷分时电价策略。算例分析表明:该策略实施后,一方面可以取得良好的削峰填谷效果,另一方面可使得电网公司、电力用户和全社会均获得更多的利润,从而有效提高电力系统的稳定性和经济性。
In order to formulate the peak-valley time-of-use power price strategy which is beneficial to each participant in DSM, this paper not only analyses the cost and income change of each participant but also proposes a reasonable cost-benefit analysis model. On this basis, an optimized model of peak-valley time-of-use power price with ratio of peak to valley price and pull-apart rate as the decision variables is built. Next, the tolerant stratified sequence is used to simplify the original model from a multi-objective problem to a single objective problem whose satisfactory decision variables can be obtained by the genetic algorithm. Finally, the optimized peak-valley time-of-use power price strategy is formulated according to the obtained decision variables. The example analysis shows that the optimal strategy has a good performance on peak shaving and valley filling. Additionally, it also brings more profits for Power Grid Corp, customers, and all society, thereby improves the stability and economy of power system effectively.
作者
孔强
付强
林亭君
张也
彭子健
万亚玲
郭良
KONG Qiang;FU Qiang;LIN Tingjun;ZHANG Ye;PENG Zijian;WAN Yaling;GUO Liang(Jiangxi Tengda Electric Power Design Institute Ltd.,Nanchang 330000,China;Yinzhou District Power Supply Enterprise of Ningbo City,State Grid,Ningbo 315100,China;College of Energy and Electrical Engineering,Hohai University,Nanjing 210000,China)
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2018年第15期60-67,共8页
Power System Protection and Control
基金
国家自然科学基金项目资助(61601414)~~
关键词
峰谷分时电价
需求侧管理
成本效益分析
削峰填谷
多目标优化
peak-valley time-of-use power price
demand side management
cost-benefit analysis
peak shaving and valley filling
multi-objective optimization
