Research on demand response for wind power integration into smart grid

doi:10.11930/j.issn.1004-9649.2012.4.10.4

Abstract

Abstract: A multiple-objective optimization method was presented to improve the ability of wind power integration of a grid by using the demand response. The method divides the demand response into interruptible load and consumption stimulation load; and then defines their influences to the probability density function of the equivalent load. Based on the quantitative relationship among demand response, system revenue and peak-regulation capacity, an optimal objective function for revenue and capacity was proposed. A fuzzy method was deployed to solve the optimization problem. Taking the equivalent load of the grid of Shaan-gan-ning-qing in Northwest China as an example, the test results show that the demand response can improve peak-regulating ability of the grid with widely distributed wind power generation and increase economic efficiency. This study can provide effective supporting information for dispatchers to do decision-makings.

Key words: wind power integration, demand response, power system, intermittence

CLC Number:

TM727

LIU Xin-dong, CHEN Huan-yuan, FANG Ke. Research on demand response for wind power integration into smart grid[J]. Electric Power, 2012, 45(4): 10-14.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.2012.4.10.4

https://www.electricpower.com.cn/EN/Y2012/V45/I4/10

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