Dual-phase game-theoretic coordination for optimal consensus operation of integrated energy systems

초록

Integrated Energy Systems (IES) offer a promising solution to enhance the operational stability and economic efficiency of renewable energy utilization by coordinating electricity, gas, and heat infrastructures. However, existing IES optimization methods often overlook the conflicting objectives of multiple stakeholders, resulting in inequitable outcomes and reduced cooperation. This paper proposes a Dual-Phase Game-Theoretic Coordination (DP-GTC) framework that systematically derives consensus solutions for multi-entity IES operations. The first phase identifies inter-objective relationships through benefit normalization, while the second phase constructs a solution set by optimizing the sum of normalized objectives under variance constraints. This produces a range of solutions from dominant-biased to equitable, enabling flexible coordination strategies. To enhance robustness against uncertainty in renewable generation and demand, a two-stage Distributionally Robust Optimization (DRO) model is incorporated. Simulation results demonstrate that the proposed framework ensures economic viability and fairness across all entities, even under worst-case scenarios.

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