工业大用户分时电价优化方法

doi:10.19595/j.cnki.1000-6753.tces.170105

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Abstract

Time-of-use (TOU) price is an effective method for demand side management. In light of the profit of utility companies and large industrial customers, a bi-level optimization model for setting the optimal TOU price is proposed in this paper. Subjected to the dispatch of the self-provided power plant of the large industrial customers, the shifting loads and the characteristics of the electricity purchasing and sales of the utility company, the objective function of the upper model is to maximize the sales profit of the utility company, while the lower model is devoted to minimize the power consumption cost of the large industrial customers. A hybrid optimization algorithm integrated by genetic algorithm (GA) and mixed integer programing (MIP) is proposed to address the computational complexity. GA is used to figure out the upper model, in which the lower model solved by a commercial MIP optimizer after using algebraic techniques to equivalent linearize the nonlinear part is embedded. Consequently, the coordinated optimization of the upper and lower model is achieved efficiently. The results of the cases show that the proposed method increases the profit of the utility company and improves the electricity consumption pattern of the large industrial customers.

Key words： Time-of-use price large industrial customers bi-level optimization model genetic algorithm mixed integer programing

Received: 23 January 2017 Published: 12 April 2018

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	Shu Jun
	Guan Rui
	Han Bing

Cite this article:

Shu Jun,Guan Rui,Han Bing. Method of Optimal Time-of-Use Price for Large Industrial Customers[J]. Transactions of China Electrotechnical Society, 2018, 33(7): 1552-1559.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.170105 OR https://dgjsxb.ces-transaction.com/EN/Y2018/V33/I7/1552

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