Research on Optimization of TOU Considering Load Development and User Behavior

doi:10.11930/j.issn.1004-9649.201708165

Abstract

Abstract: As an important economic means of demand-side management, TOU (time of use) is imperative for full implementation in the country. However, the rapid growth of electricity demand lead to TOU ineffective for user's incentive. Aiming at this problem, this paper puts forward a TOU optimization method considering load development, and uses BP neural network prediction and grey prediction to forecast the typical daily load curve of the next two years. The reasonable TOU is obtained through substituting the future load curve into the TOU optimization model as electricity price constraint, and optimizing the typical daily load curve of the year. The optimization results with sole consideration of the typical daily load curve are compared with that with consideration of load development, which verifies the effectiveness of the proposed optimization method for extending the TOU timeliness.

Key words: TOU, load development, user behavior, load curve

CLC Number:

TAN Xiandong, CHEN Yuchen, LI Yang, JING Jiangbo, JIANG Ning, WANG Zijian, SHEN Yunwei. Research on Optimization of TOU Considering Load Development and User Behavior[J]. Electric Power, 2018, 51(7): 136-144.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.201708165

https://www.electricpower.com.cn/EN/Y2018/V51/I7/136

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