Low-carbon economic scheduling of virtual power plant based on proximal policy optimization

杨 娜; 刘 丽; 宋 梦; 赵 晨

doi:10.3969/j.issn.1009-1831.2025.06.008

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Low-carbon economic scheduling of virtual power plant based on proximal policy optimization

更新时间：2026-03-05

- Low-carbon economic scheduling of virtual power plant based on proximal policy optimization
- Vol. 27, Issue 6, (2025)
- 作者机构：
  
  1. 国网安徽省电力有限公司经济技术研究院,合肥,230009
  2. 东南大学电气工程学院,南京,210096
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1009-1831.2025.06.008
  CLC：
- Published：2025
- 稿件说明：
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杨娜, 刘丽, 宋梦, et al. Low-carbon economic scheduling of virtual power plant based on proximal policy optimization[J]. 2025, 27(6).
DOI：

杨娜, 刘丽, 宋梦, et al. Low-carbon economic scheduling of virtual power plant based on proximal policy optimization[J]. 2025, 27(6). DOI： 10.3969/j.issn.1009-1831.2025.06.008.

摘要

随着“双碳”进程的深入推进，电力系统向绿色清洁化的转型势在必行。虚拟电厂聚合配电网中海量的分布式资源，可以通过灵活性负荷调节实现电力脱碳和绿色转型目标。基于此，提出了基于近端策略优化的虚拟电厂经济优化模型。首先，依据比例共享原则，在电力潮流的基础上，构建碳排放流模型，实时追踪各个节点的碳密度。然后，确立虚拟电厂低碳经济调度优化目标，包括负荷调节成本和碳排成本。最后，利用近端策略优化算法对所提出的模型进行求解。通过算例分析可知，所提出的低碳模型可以在保障配电网潮流安全的基础上，实现全时间尺度的碳流跟追。并且，所提出的近端策略优化算法可以实现虚拟电厂在保障经济性的同时完成内部资源的低碳调度。

Abstract

With the deepening of“dual carbon”process

the transformation of power system to green and clean is imperative. The massive distributed resources in virtual power plant aggregate distribution network can realize the goal of power decarbonization and green transformation through flexible load regulation. Based on this

a virtual power plant economic optimization model based on near-end strategy optimization is proposed. Firstly

based on the principle of proportional sharing

a carbon flow model is constructed to track the carbon density of each node in real time. Then

the low-carbon economic dispatching optimization objectives of virtual power plant are constructed

including load adjustment cost and carbon emission cost. Finally

the proposed model is solved using the proximal strategy optimization algorithm. The example analysis shows that the proposed low-carbon model can realize the carbon flow tracking in the whole time scale on the basis of guaranteeing the power flow safety of the distribution network. Moreover

the proposed near-end strategy optimization algorithm can realize the low carbon scheduling of internal resources in virtual power plant while ensuring economy.

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