An Electricity Peak and Valley Time Period Division Model Based on High Dimensional Normed Space and SGHSA Algorithm

doi:10.11930/j.issn.1004-9649.201605027

Electric Power ›› 2018, Vol. 51 ›› Issue (1): 179-184.DOI: 10.11930/j.issn.1004-9649.201605027

An Electricity Peak and Valley Time Period Division Model Based on High Dimensional Normed Space and SGHSA Algorithm

LIU Shuyong¹, LI Na¹, FU Jingshuai²

1. State Grid Tianjin Economic Research Institute, Tianjin 300171, China;
2. School of Ecomonic and Management, North China Electric Power University, Beijing 102206, China

Received:2016-05-04 Revised:2016-12-15 Online:2018-01-05 Published:2018-02-28
Supported by:
This work is supported by Science and Technology Project of State Grid Corporation of China(No.SGTYH/14-JS-188).

Abstract

Abstract: Scientific division of peak, flat and valley time period is fundamental for rational development of time-of-use tariff. Time division results should meet long-term applicability, and maximally reflect load differences in different time periods. Modeling problem of peak and valley time division is discussed. Firstly, data sample set of division model is founded by defining high dimensional load vectors which embody information of a long period and its norm at each time point. Secondly, by introduction of semi gradient membership function, membership degree of each time point to peak, flat and valley period are defined based on norm of load vectors. Thirdly, threshold optimization model is established to optimize threshold by using SGHSA searching algorithm. This completes the construction of period division model. Finally, exemplary application on a certain area proves reasonability of proposed model.

Key words: time-of-use tarrif, time period division, high dimensional load vector, fuzzy clustering, SGHSA

CLC Number:

TM715

LIU Shuyong, LI Na, FU Jingshuai. An Electricity Peak and Valley Time Period Division Model Based on High Dimensional Normed Space and SGHSA Algorithm[J]. Electric Power, 2018, 51(1): 179-184.

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https://www.electricpower.com.cn/EN/Y2018/V51/I1/179

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An Electricity Peak and Valley Time Period Division Model Based on High Dimensional Normed Space and SGHSA Algorithm

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