Optimization Strategy of Photovoltaic-Storage Coordinated Operation Based on Alliance Game and Carbon Trading Mechanism

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:Provides a novel optimization model combining coalition game theory, carbon trading, and ADMM for PV-storage coordination, opening avenues for decentralized multi-stakeholder energy systems.

🏢実務担当者:Utilities and project developers can apply the model to optimize PV-storage operation and participate in carbon markets, potentially reducing costs and enhancing revenues.

🏛政策担当者:Highlights the role of dynamic carbon pricing in incentivizing storage to actively support grid flexibility and emission reduction, informing carbon market design.

The coordinated operation of photovoltaic-energy storage systems is crucial for enhancing renewable energy accommodation and grid flexibility. However, under the involvement of multiple stakeholders and the constraints of carbon reduction targets, traditional non-cooperative game methods are prone to falling into local optima and struggle to fairly distribute synergistic benefits. To address this issue, this paper proposes a collaborative optimization model for photovoltaic-energy storage systems based on coalition game theory. The model treats PV and energy storage as a community of interest, aiming to maximize the total system revenue (including both electricity trading and carbon trading) through centralized scheduling. To ensure the stability of cooperation, the Shapley value method is employed to distribute the cooperative surplus according to each participant's marginal contribution. A dynamic carbon trading mechanism is introduced to accurately reflect the environmental value of electricity, guiding the system to achieve dual arbitrage from "electricity price and carbon price." Addressing the practical need for information privacy among entities, the Alternating Direction Method of Multipliers (ADMM) is further adopted to decouple and solve the model, achieving a globally optimal solution through the exchange of only minimal boundary information. Simulation results demonstrate that, compared to the Stackelberg game strategy, the proposed coalition game model can more effectively coordinate PV and storage resources, significantly reduce total system cost and grid dependence, and enhance carbon emission reduction benefits. The study reveals a transformation in the role of energy storage from "passive response" to "active low-carbon arbitrage" under the synergistic effect of market mechanisms and environmental policies, providing new insights for the operation of multi-stakeholder PV-storage systems. Ablation studies further confirm that the carbon trading mechanism not only optimizes the system's economic structure but, more critically, shifts energy storage behavior from "passive price response" to "active low-carbon arbitrage," revealing the synergistic guiding role of market mechanisms and environmental policies in the energy transition.

• semanticscholar https://doi.org/10.1109/psesg69490.2026.11544523first seen 2026-06-12 05:37:55