高渗透率可再生能源接入下考虑网络重构和需求响应的微电网低碳优化调度

高锋阳; 裴淑萍; 查鹏堂; 高建宁; 庄圣贤

doi:10.19912/j.0254-0096.tynxb.2024-1763

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太阳能学报 ›› 2026, Vol. 47 ›› Issue (2) : 310-321. DOI: 10.19912/j.0254-0096.tynxb.2024-1763

高渗透率可再生能源接入下考虑网络重构和需求响应的微电网低碳优化调度

高锋阳¹, 裴淑萍¹, 查鹏堂¹, 高建宁², 庄圣贤³

作者信息 +

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

Author information +

文章历史 +

摘要

针对高渗透率可再生能源接入微电网以及可再生能源提供的电力与负荷需求之间的不平衡,提出考虑网络重构和需求响应的低碳优化调度策略。首先,利用网络重构实现微电网优化运行,有效改善电压偏差,降低总成本,最大限度地减少有功功率损耗,提出苦鱼算法（BFO）构建高渗透率可再生能源接入下微电网低碳优化调度模型。其次,提出一种基于激励需求响应资源和重构方法整合到日前时间框架的微电网调度中,使传统分布式发电的燃料成本和从电网购买电力的成本最小化,使微电网运营利润最大化。最后,采用IEEE 33节点系统进行算例验证,结果表明所提调度策略可有效削弱负荷峰谷差,提升系统运行稳定性、经济性和环保性。

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.

导出引用

高锋阳, 裴淑萍, 查鹏堂, 高建宁, 庄圣贤. 高渗透率可再生能源接入下考虑网络重构和需求响应的微电网低碳优化调度[J]. 太阳能学报. 2026, 47(2): 310-321 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1763

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

中图分类号： TM73

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