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Economic analysis of virtual power plants incorporating distributed energy storage in carbon-green certificate trading mechanisms
- Vol. 59, Issue 1, Pages: 20-32(2026)
- 作者机构：
1. 国网山西省电力有限公司电力科学研究院,山西,太原,030002
2. 河海大学 电气与动力工程学院,江苏,南京,211100
- 作者简介：
- 基金信息：
DOI：10.11930/j.issn.1004-9649.202505072
CLC：-
Published Online：13 January 2026，
Published：13 January 2026
- 稿件说明：
移动端阅览
张敏, 郭翔宇, 常潇, 姚宏民, 张世锋, 吴英俊. 碳-绿证交易机制下计及分布式储能的虚拟电厂经济性分析[J]. 中国电力, 2026, 59(1): 20-32.
张敏, 郭翔宇, 常潇, et al. Economic analysis of virtual power plants incorporating distributed energy storage in carbon-green certificate trading mechanisms[J]. 2026, 59(1): 20-32.
张敏, 郭翔宇, 常潇, 姚宏民, 张世锋, 吴英俊. 碳-绿证交易机制下计及分布式储能的虚拟电厂经济性分析[J]. 中国电力, 2026, 59(1): 20-32. DOI： 10.11930/j.issn.1004-9649.202505072.
张敏, 郭翔宇, 常潇, et al. Economic analysis of virtual power plants incorporating distributed energy storage in carbon-green certificate trading mechanisms[J]. 2026, 59(1): 20-32. DOI： 10.11930/j.issn.1004-9649.202505072.
摘要
在“双碳”目标下，实现虚拟电厂经济与环境效益协同优化是能源绿色转型的关键。当前研究仍面临关键挑战：虚拟电厂优化模型难以协同兼顾经济与环境效益，求解方法保守性强、收敛性差。为此，提出一种碳-绿证交易机制下计及分布式储能的虚拟电厂低碳经济调度模型。首先，突破单一交易机制局限，构建考虑风险的碳-绿证协同交易机制，实现最大化减排收益与经济效益；其次，考虑分布式储能在提升经济效益和新能源消纳率方面的优势，进一步挖掘碳-绿证机制的潜力，建立含分布式储能的多元电源虚拟电厂优化模型；最后，为解决传统求解方式存在保守性强、收敛性差问题，引入黑翅鸢算法提升求解效率。仿真结果表明，该模型在显著提升可再生能源消纳率与系统净收益、有效降低碳排放的同时，相对于单一碳交易机制可实现净利润提升33.9%、碳排放量下降16.6%，且算法迭代速度更快、收敛稳定性强。
Abstract
Under the dual-carbon goals
achieving the synergistic optimization of economic and environmental benefits in virtual power plants is crucial for the green transformation of the energy system. However
current research still faces two major challenges: the optimization models struggle to balance economic and environmental benefits simultaneously
and the solution methods tend to be conservative with poor convergence. To address these issues
a low-carbon economic dispatch model for virtual power plants incorporating distributed energy storage under a carbon-green certificate trading mechanism is proposed. First
moving beyond the limitations of single trading mechanisms
a risk-aware carbon-green certificate synergistic trading mechanism is constructed to maximize emission reduction revenue and economic benefits. Second
leveraging the advantages of distributed energy storage in enhancing economic efficiency and renewable energy consumption rates
the potential of the carbon-green certificate mechanism is further exploited by establishing a diversified source virtual power plant optimization model that includes distributed storage. Finally
to overcome the conservativeness and poor convergence of traditional solution methods
the black-winged kite algorithm is introduced to improve solving efficiency. Simulation results demonstrate that the proposed model significantly increases the renewable energy consumption rate and net system profit while effectively reducing carbon emissions. Compared to a single carbon trading mechanism
it achieves up to a 33.9% increase in net profit and a 16.6% reduction in carbon emissions
with faster iteration speed and stronger convergence stability
validating the algorithm's effectiveness in handling high-dimensional nonlinear constrained problems.
关键词
Keywords
references
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