ISADE-BASED STACKELBERG GAME OPTIMIZATION STRATEGY FOR LOW-CARBON MULTI-ENERGY MICROGRID OPERATION

Zhang Xin; Wang Changyuan; Li Wanming; Wang Lidi

doi:10.19912/j.0254-0096.tynxb.2025-1139

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (12) : 310-319. DOI: 10.19912/j.0254-0096.tynxb.2025-1139

ISADE-BASED STACKELBERG GAME OPTIMIZATION STRATEGY FOR LOW-CARBON MULTI-ENERGY MICROGRID OPERATION

Zhang Xin¹, Wang Changyuan², Li Wanming¹, Wang Lidi¹

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Abstract

To reduce carbon emissions and operational costs in microgrid operation,a low-carbon economic operation strategy for multi-energy microgrids integrating shared energy storage, carbon capture power plants, and power-to-gas collaborative operation is proposed in this study. A tiered carbon trading mechanism is introduced to control carbon emissions. The improved simulated annealing and differential evolution （ISADE） algorithm is employed for Stackelberg game iterative solving. This algorithm incorporates parameter adaptive adjustment,hybrid mutation strategies,and an elite retention strategy. The proposed model is evaluated through numerical simulations on the MATLAB platform. The results demonstrate that the model achieves 39% faster convergence speed and higher solution accuracy compared to conventional methods, while effectively avoiding convergence to local optima. A 79% reduction in carbon emissions, a 17% decrease in microgrid operational costs, and a 10% reduction in user costs are achieved, ultimately maximizing benefits for both microgrid operators and end-users.

Key words

game theory / microgrids / carbon capture / carbon trading / shared energy storage / multi-energy

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Zhang Xin, Wang Changyuan, Li Wanming, Wang Lidi. ISADE-BASED STACKELBERG GAME OPTIMIZATION STRATEGY FOR LOW-CARBON MULTI-ENERGY MICROGRID OPERATION[J]. Acta Energiae Solaris Sinica. 2026, 47(12): 310-319 https://doi.org/10.19912/j.0254-0096.tynxb.2025-1139

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