Two-Stage, Three-Layer Stochastic Robust Model and Solution for Multi-Energy Access System Based on Hybrid Game Theory DOI Open Access
Guodong Wu, Xiaohu Li,

Jianhui Wang

et al.

Processes, Journal Year: 2024, Volume and Issue: 12(12), P. 2656 - 2656

Published: Nov. 25, 2024

This paper proposes a two-stage, three-layer stochastic robust model and its solution method for multi-energy access system (MEAS) considering different weather scenarios which are described through scenario probabilities output uncertainties. In the first stage, based on principle of master–slave game, relationship between grid dispatch department (GDD) MEAS is constructed game transaction mechanism analyzed. The GDD establishes pricing that takes into account uncertainty wind power probabilities. second impacts photovoltaic probability uncertainties uncertainties, max–max–min structured established cooperation Nash bargaining principle. A variable alternating iteration algorithm combining Karush–Kuhn–Tucker conditions (KKT) proposed to solve MEAS. direction multipliers (ADMM) used particle swarm (PSO) employed non-convex two-stage model. Finally, effectiveness verified case studies.

Language: Английский

Two-Stage, Three-Layer Stochastic Robust Model and Solution for Multi-Energy Access System Based on Hybrid Game Theory DOI Open Access
Guodong Wu, Xiaohu Li,

Jianhui Wang

et al.

Processes, Journal Year: 2024, Volume and Issue: 12(12), P. 2656 - 2656

Published: Nov. 25, 2024

This paper proposes a two-stage, three-layer stochastic robust model and its solution method for multi-energy access system (MEAS) considering different weather scenarios which are described through scenario probabilities output uncertainties. In the first stage, based on principle of master–slave game, relationship between grid dispatch department (GDD) MEAS is constructed game transaction mechanism analyzed. The GDD establishes pricing that takes into account uncertainty wind power probabilities. second impacts photovoltaic probability uncertainties uncertainties, max–max–min structured established cooperation Nash bargaining principle. A variable alternating iteration algorithm combining Karush–Kuhn–Tucker conditions (KKT) proposed to solve MEAS. direction multipliers (ADMM) used particle swarm (PSO) employed non-convex two-stage model. Finally, effectiveness verified case studies.

Language: Английский

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