LOW-CARBON OPTIMIZATION SCHEDULING OF MICROGRIDS CONSIDERING NETWORK RECONFIGURATION AND DEMAND RESPONSE WITH HIGH PENETRATION OF RENEWABLE ENERGY

Gao Fengyang, Pei Shuping, Zha Pengtang, Gao Jianning, Zhuang Shengxian

Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (2) : 310-321.

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (2) : 310-321. DOI: 10.19912/j.0254-0096.tynxb.2024-1763

LOW-CARBON OPTIMIZATION SCHEDULING OF MICROGRIDS CONSIDERING NETWORK RECONFIGURATION AND DEMAND RESPONSE WITH HIGH PENETRATION OF RENEWABLE ENERGY

  • Gao Fengyang1, Pei Shuping1, Zha Pengtang1, Gao Jianning2, Zhuang Shengxian3
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Abstract

To address the imbalance between high penetration of renewable energy in microgrids and the power supply-demand, a low-carbon optimization scheduling strategy considering network reconfiguration and Demand Response (DR) is proposed. Firstly, network reconfiguration is utilized to optimize microgrid operation, effectively improving voltage deviation, reducing total costs, and minimizing active power losses, employing the Bitterling Fish Optimization (BFO) algorithm to construct a low-carbon optimization scheduling model for microgrids with high renewable energy integration. Secondly, an incentive-based demand response scheme and reconfiguration method are integrated into day-ahead scheduling, minimizing fuel costs for traditional distributed generation and the costs for purchasing power from the grid, thus maximizing microgrid operational profits. Finally, the proposed scheduling strategy is validated using the IEEE 33-node system. The results demonstrate that the proposed strategy effectively reduces the load peak-to-valley difference and enhances the stability, economy, and environmental protection performance of the system.

Key words

renewable energy / microgrids / distributed power generation / demand response / network reconfiguration / bitterling fish optimization

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Gao Fengyang, Pei Shuping, Zha Pengtang, Gao Jianning, Zhuang Shengxian. LOW-CARBON OPTIMIZATION SCHEDULING OF MICROGRIDS CONSIDERING NETWORK RECONFIGURATION AND DEMAND RESPONSE WITH HIGH PENETRATION OF RENEWABLE ENERGY[J]. Acta Energiae Solaris Sinica. 2026, 47(2): 310-321 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1763

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