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| 基于电力-绿证协同P2P交易的多虚拟电厂运行策略研究 |
| Operation Strategy for Multiple Virtual Power Plants with Electricity and Green Certificate P2P Trading |
| 投稿时间：2025-09-07 修订日期：2025-11-14 |
| DOI： |
| 中文关键词: 虚拟电厂 点对点交易 电力市场 绿证交易 优化运行 |
| 英文关键词: virtual power plant peer-to-peer trading electricity market green certificate trading optimal operation |
| 基金项目:国家自然科学基金资助项目(52207091) |
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| 摘要点击次数: 33 |
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| 中文摘要: |
| 随着分布式可再生能源大规模并网，虚拟电厂作为聚合分布式资源的重要载体，通过点对点交易实现多主体协调运营已成为重要发展趋势。然而，虚拟电厂间点对点交易需要同时考虑电力市场和绿证市场的协调优化，以及与配电网安全运行的兼容性问题。针对这一挑战，提出一种考虑配电网运行约束的虚拟电厂电力-绿证协同点对点交易双层优化模型。上层模型构建虚拟电厂运营优化与电力-绿证协同点对点交易决策框架，下层模型建立配电网市场出清机制，以节点电价作为连接上下层的关键变量，实现点对点交易决策与配电网安全运行约束的协调。构建电力与绿证点对点交易的双商品协同优化机制，降低虚拟电厂绿证获取成本并激励可再生能源发展；采用基于共识的自适应交替方向乘子法处理虚拟电厂间分布式协调问题，结合二分法实现双层模型的高效稳定求解。算例验证表明所提方法能够在满足配电网安全运行约束的前提下，有效提升点对点交易的经济效益，为虚拟电厂参与多元化电力市场提供了技术支撑。 |
| 英文摘要: |
| With the large-scale integration of distributed renewable energy sources, virtual power plants have emerged as important carriers for aggregating distributed resources, and multi-agent coordinated operation through peer-to-peer trading has become a significant development trend. However, peer-to-peer trading among virtual power plants requires simultaneous consideration of coordinated optimization between electricity markets and green certificate markets, as well as compatibility with the secure operation of distribution networks. To address this challenge, this paper proposes a bi-level optimization model for virtual power plant electricity-green certificate collaborative peer-to-peer trading considering distribution network operational constraints. The upper-level model establishes a framework for virtual power plant operational optimization and electricity-green certificate collaborative peer-to-peer trading decision-making, while the lower-level model develops a distribution network market clearing mechanism, with nodal electricity prices serving as key variables connecting the upper and lower levels to achieve coordination between peer-to-peer trading decisions and distribution network security constraints. An electricity-green certificate collaborative peer-to-peer trading model is developed to achieve dual-commodity collaborative optimization, reducing virtual power plant green certificate acquisition costs and incentivizing renewable energy development. An adaptive alternating direction method of multipliers based on consensus is employed to handle distributed coordination problems among virtual power plants, combined with the bisection method to achieve efficient and stable solution of the bi-level model. Case studies demonstrate that the proposed method can effectively enhance peer-to-peer trading economic benefits while satisfying distribution network security constraints, providing technical support for virtual power plant participation in diversified electricity markets. |
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