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计及负荷率分档的峰谷分时电价定价模型
引用本文:黄海涛,吴洁晶,顾丹珍,蔚 芳.计及负荷率分档的峰谷分时电价定价模型[J].电力系统保护与控制,2016,44(14):122-129.
作者姓名:黄海涛  吴洁晶  顾丹珍  蔚 芳
作者单位:上海电力学院电气工程学院,上海 200090,上海电力学院电气工程学院,上海 200090,上海电力学院电气工程学院,上海 200090,上海电力学院电气工程学院,上海 200090
基金项目:国家自然科学基金项目(71203137,71403163)
摘    要:针对大中工商业用户负荷率电价与峰谷电价的配合问题,结合我国电力体制和电价制度环境,基于消费者需求和供电成本异质性,构造了负荷率分档用户的用电消费细分市场,建立了各档用户的边际供电成本模型及需求价格弹性模型。应用边际成本定价理论,构建了计及负荷率分档的峰谷分时电价模型。该模型采用分层协调优化的方法:第一层深入分析每一负荷率档位用户的边际电量成本和边际容量成本,应用密度聚类技术及两部制定价理论,建立了每一负荷率档位及其两部制平均电价水平的制定方法。第二层以各档平均电度电价水平为约束,以削峰填谷为目标,基于电量电价弹性矩阵构建了负荷率峰谷分时电价协调优化模型。该模型综合协调了效率、公平和削峰填谷多重目标,算例验证了其合理性和有效性。

关 键 词:销售电价  负荷率电价  峰谷电价  电力需求弹性
收稿时间:2015/8/12 0:00:00
修稿时间:2015/12/27 0:00:00

Pricing model of time-of-use electricity tariff considering customers classified by load factor
HUANG Haitao,WU Jiejing,GU Danzhen and YU Fang.Pricing model of time-of-use electricity tariff considering customers classified by load factor[J].Power System Protection and Control,2016,44(14):122-129.
Authors:HUANG Haitao  WU Jiejing  GU Danzhen and YU Fang
Affiliation:College of Electric Power Engineering, Shanghai University of Electric Power, Shanghai 200090, China,College of Electric Power Engineering, Shanghai University of Electric Power, Shanghai 200090, China,College of Electric Power Engineering, Shanghai University of Electric Power, Shanghai 200090, China and College of Electric Power Engineering, Shanghai University of Electric Power, Shanghai 200090, China
Abstract:There is coordination problem between load factor price and peak-valley time-of-use price (TOU) of large and medium industrial and commercial users. Therefore, combining with the electricity power system and environment in China, this paper bases on the users demand and supply cost otherness to build the power consumption market segment and demand-price elastic model of load factor classification. Time-of-use electricity pricing model considering customers classified by load factor is settled applying the marginal cost pricing theory. The model adopts the method of hierarchical coordination optimization. The first layer applies the density clustering and two-part price theory to analyze the marginal electricity and capacity cost of each load factor block, and formulate the method for load factor classification and pricing average price for each one. The second layer takes the average price level of each block as constraint and cutting peak load to fill valley as the goal, then sets coordination optimization model of TOU tariff with load factor block based on the electric price elasticity matrix. This model coordinates multiple targets such as efficiency, fairness and peak load shifting. Its rationality and validity are validated by one case. This work is supported by National Natural Science Foundation of China (No. 71203137 and No. 71403163).
Keywords:electricity retail price  load factor price  peak-vally time-of-use price  electricity demand elasticity
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