Demand Response Model of TOU Electricity Price Based on Data Mean and LSSVM Algorithm

doi:10.11930/j.issn.1004-9649.2016.09.137.05

Abstract

Abstract: In order to improve system robustness and meet demand of customers’ behavior rule under time-of-use (TOU) price, a simulation model is proposed. Firstly, with historical data equalization, the impact of non-price fluctuations in historical data on user’s demand response is removed. Secondly, training sample set data capacity is extended by establishment of equivalent TOU. Thirdly, a forecasting model is constructed by using LSSVM regression technique. Lastly, by using historical data of an industry in T area, the demand response curves of Peak, Flat and Valley Load under TOU are obtained to verify validity of proposed model.

Key words: time-of-use price, demand response, LSSVM, data mining

CLC Number:

TM715

LI Na, ZHANG Wenyue, WANG Yuwei, FU Jingshuai, WANG Weijie, WANG Lin. Demand Response Model of TOU Electricity Price Based on Data Mean and LSSVM Algorithm[J]. Electric Power, 2016, 49(9): 137-141.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.2016.09.137.05

https://www.electricpower.com.cn/EN/Y2016/V49/I9/137

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