考虑需求响应和EV有序接入的微电网双层优化调度

肖仁鑫; 马四琳; 潘楠; 贾现广; 陈贵升

doi:10.19912/j.0254-0096.tynxb.2024-2411

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太阳能学报 ›› 2026, Vol. 47 ›› Issue (5) : 123-134. DOI: 10.19912/j.0254-0096.tynxb.2024-2411

考虑需求响应和EV有序接入的微电网双层优化调度

肖仁鑫, 马四琳, 潘楠, 贾现广, 陈贵升

作者信息 +

BI-LEVEL OPTIMIZATION SCHEDULING OF MICROGRID CONSIDERING DEMAND RESPONSE AND ORDERED INTEGRATION OF EVS

Xiao Renxin, Ma Silin, Pan Nan, Jia Xianguang, Chen Guisheng

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文章历史 +

摘要

针对新能源发电与电动汽车大量无序接入造成的微电网“源荷”匹配性差和新能源发电就地消纳率低的问题,提出考虑需求响应和电动汽车（EV）有序接入的微电网调整-调度双层优化模型。上层模型将价格型和激励型需求响应策略相结合,将分时电价所得负荷曲线进行直接负荷调控,最小化微电网负荷峰谷差和净负荷方差;下层模型考虑EV的V2G特性,协同调度微电网“源网荷储”,实现微电网运行成本最低,提高新能源发电就地消纳率。典型算例表明,基于上层调整的负荷曲线,在微电网调度中可提高新能源消纳率23.3%,降低微电网运行成本3.6%,同时考虑EV的有序充接入可进一步提高新能源消纳率1.2%,降低微电网运行成本3.3%。研究表明所提微电网双层调度优化策略更好匹配微电网新能源发电和负荷特性,EV有序接入可在降低电网运行成本的同时提高新能源发电就地消纳水平。

Abstract

In response to the issues of poor source-load matching and low local consumption rate of renewable energy caused by the large-scale, unordered integration of renewable energy generation and electric vehicles （EVs） into microgrids, a bi-level optimization model for microgrid adjustment and scheduling is proposed, considering demand response and orderly EV integration. The upper-level model combines price-based demand response（PBDR）and incentive-based demand response（IBDR）strategies, directly regulating the load curve obtained from time-of-use electricity pricing to minimize the peak-to-valley difference and net load variance of the microgrid. The lower-level model accounts for the V2G （vehicle-to-grid） characteristics of EVs, coordinating the scheduling of the microgrid's generation, grid, load, and storage to minimize operational costs and improve the local consumption rate of renewable energy. Typical case studies show that, based on the load curve adjusted by the upper-level model, microgrid scheduling can increase the renewable energy consumption rate by 23.3% and reduce operational costs by 3.6%. Additionally, considering the orderly integration of EVs can further increase the renewable energy consumption rate by 1.2% and reduce operational costs by 3.3%. The study demonstrates that the proposed bi-level optimization strategy for microgrid scheduling better matches the characteristics of renewable energy generation and load in the microgrid, while orderly EV integration can reduce grid operation costs and enhance the local consumption of renewable energy.

导出引用

肖仁鑫, 马四琳, 潘楠, 贾现广, 陈贵升. 考虑需求响应和EV有序接入的微电网双层优化调度[J]. 太阳能学报. 2026, 47(5): 123-134 https://doi.org/10.19912/j.0254-0096.tynxb.2024-2411

Xiao Renxin, Ma Silin, Pan Nan, Jia Xianguang, Chen Guisheng. BI-LEVEL OPTIMIZATION SCHEDULING OF MICROGRID CONSIDERING DEMAND RESPONSE AND ORDERED INTEGRATION OF EVS[J]. Acta Energiae Solaris Sinica. 2026, 47(5): 123-134 https://doi.org/10.19912/j.0254-0096.tynxb.2024-2411

中图分类号： U491.8 TM73

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