Real-Time Price Strategy for Smart Grid Considering Wind and Solar Power Uncertainty Based on ADMM-GBS

Yaojia ZHANG; Yan GAO

doi:10.16513/j.2096-2185.DE.2308604

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Distributed Energy ›› 2023, Vol. 8 ›› Issue (6) : 27-35. DOI: 10.16513/j.2096-2185.DE.2308604

Basic Research

Real-Time Price Strategy for Smart Grid Considering Wind and Solar Power Uncertainty Based on ADMM-GBS

Yaojia ZHANG ,
Yan GAO

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Abstract

Real-time price is an effective method for demand side management in smart grids, which is crucial for maintaining power supply and demand balance and peak shaving and valley filling. In order to improve the low-carbon economy and accuracy of the real-time price model, and fully consider the interests of both users and the power supply side, the paper proposes a carbon trading mechanism and constructs an uncertain model of wind and solar output based on the power generation characteristics of new energy. A real-time price model for maximizing social welfare is established with the goal of maximizing the total utility of users and minimizing the cost of power supply. A distributed optimization scheduling method is proposed based on the improved alternating direction method of multiplier (ADMM), namely ADMM with Gaussian back substitution (ADMM-GBS). The method solves the problem by transforming the uncertain model into a deterministic model. The simulation results show that the proposed real-time price strategy can improve social welfare, which verifies the effectiveness of the proposed model and algorithm.

Key words

smart grid / demand-side management / real-time price / new energy generation / alternating direction method of multiplier (ADMM)

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Yaojia ZHANG , Yan GAO. Real-Time Price Strategy for Smart Grid Considering Wind and Solar Power Uncertainty Based on ADMM-GBS[J]. Distributed Energy Resources. 2023, 8(6): 27-35 https://doi.org/10.16513/j.2096-2185.DE.2308604

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