Two-Stage Optimal Dispatching Model of Microgrid Based on Fuzzy Incentive Demand Response

doi:10.12204/j.issn.1000-7229.2020.05.005

Abstract

Abstract: Aiming at the uncertainty of wind power and load in microgrid， a two-stage optimal scheduling model based on price demand response and incentive demand response is proposed. In the day-ahead stage， according to the response of the user's demand to the electricity price， the user's response model is established by introducing the demand price elasticity. In the real-time scheduling stage， in order to mine the corresponding enthusiasm of different users to participate in the demand， the dynamic incentive schemes of different users are calculated by using the fuzzy tools to improve the participation of demand-response projects. The analysis results show that the two-stage scheduling model can not only improve the stability of the system operation， effectively solve the problem of wind power accommodation， but also increase the economic benefits of the grid and users.

Key words: uncertainty, demand response, two-stage, wind power accommodation, economic benefit

CLC Number:

TM 73

DU Cheng，WEI Zhenbo. Two-Stage Optimal Dispatching Model of Microgrid Based on Fuzzy Incentive Demand Response[J]. Electric Power Construction, 2020, 41(5): 37-44.

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