Assessment Method of Demand Response Peak Shaving Potential Based on Metered Load Data

doi:10.3969/j.issn.1000－7229.2016.11.010

Abstract

Abstract: Currently, grid planning study is typically based on the maximum annual peak load scenario. The demand response can achieve the reduction of annual peak load, which has impact on power grid planning. This paper proposes a new method of assessing peak load reduction due to demand response based on metered load data. Firstly, we use statistic analysis to determine the peak load time frame. Secondly, we carry out the dimension-reducing clustering analysis on single load based on K-means clustering method with five key indicators, daily load rate, peak-valley ratio, peak load rate, normal load rate and valley load rate, and then determine users typical daily load curve suitable for the assessment of demand response ability. On this basis, we quantitatively evaluate the peak load reduction potential with comprehensively considering load-reducing rate and peak-valley difference of demand response in different industry. Finally, according to the topology we calculate the total demand response potential and its impact on peak load by aggregating all of electricity users peak load reduction potentials. The proposed method can effectively quantify the demand response programs impact on peak load reduction, therefore it can consider the impact of demand response in the planning and formulate reasonable future investment scheme of power grid.

Key words: demand response, daily load curve, peak shaving, clustering analysis

CLC Number:

TM 73

REN Bingli, ZHANG Zhengao, WANG Xuejun, LI Hui, YAN Dawei, ZHANG Pei. Assessment Method of Demand Response Peak Shaving Potential Based on Metered Load Data [J]. Electric Power Construction, 2016, 37(11): 64-.

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