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| 考虑电碳市场不确定性的虚拟电厂园区低碳经济调度 |
| Low-Carbon Economic Operation Strategy for Virtual Power Plant Park Considering Electricity-Carbon Market |
| 投稿时间：2025-03-28 修订日期：2025-05-22 |
| DOI： |
| 中文关键词: 电力市场 碳排放权市场 虚拟电厂 优化调度 不确定性 |
| 英文关键词: electricity market carbon emission market virtual power plant operational control uncertainty |
| 基金项目:南京电力设计研究院科技项目(JC2024004) |
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| 中文摘要: |
| 随着碳市场和电力市场的快速发展，虚拟电厂（virtual power plant, VPP）园区作为新型能源管理平台，成为实现低碳经济运行的重要手段。提出了一种考虑电碳市场不确定性的虚拟电厂园区低碳经济优化调度方法，构建基于双层双向长短时记忆网络（DBLSTM）的电价与碳价不确定性评估模型。通过构建电碳市场耦合的优化调度模型，研究了电动汽车（EV）集群的分类建模与差异化调控策略，并提出基于收益最大化的多能源系统优化方案。仿真算例表明，所提方法能够显著提高系统的经济效益与碳减排能力，在提升电动汽车参与市场灵活性的同时，在更贴近电碳市场真实环境的基础上实现了综合收益的最大化，为虚拟电厂的高效运行提供了新思路。 |
| 英文摘要: |
| With the rapid development of carbon and electricity markets, Virtual Power Plants (VPPs) park have emerged as a novel en-ergy management platform, playing a critical role in achieving low-carbon economic operations. This paper proposes a low-carbon economic optimization scheduling method for VPPs park under the uncertainties of electricity and carbon markets. A Double-Layer Bidirectional Long Short-Term Memory (DBLSTM)-based model is developed to evaluate electricity and carbon price uncertainties. By constructing an electricity-carbon market-coupled optimization model, the study explores the clas-sification modeling and differentiated control strategies of Elec-tric Vehicle (EV) clusters, proposing a multi-energy system op-timization scheme aimed at maximizing revenue. Simulation results demonstrate that the proposed method significantly en-hances the system’s economic efficiency and carbon reduction capabilities, improves the flexibility of EV market participation, and achieves maximum comprehensive revenue under more realistic electricity-carbon market conditions, offering a novel approach for the efficient operation of VPPs. |
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