EN考虑精细化碳交易的共享储能多微网系统经济调度
考虑精细化碳交易的共享储能多微网系统经济调度
- 太阳能学报 2025年第10期 页码：65-76
- 作者机构：
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DOI：doi:10.19912/j.0254-0096.tynxb.2024-1014
中图分类号： M715-
网络出版：2025-10-31，
纸质出版：2025-10-31
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艾欣, 张瑛楠, 潘玺安. 考虑精细化碳交易的共享储能多微网系统经济调度[J]. 太阳能学报, 2025,(10):65-76.
艾欣, 张瑛楠, 潘玺安. 考虑精细化碳交易的共享储能多微网系统经济调度[J]. 2025, (10): 65-76.
艾欣, 张瑛楠, 潘玺安. 考虑精细化碳交易的共享储能多微网系统经济调度[J]. 太阳能学报, 2025,(10):65-76. DOI： doi:10.19912/j.0254-0096.tynxb.2024-1014.
艾欣, 张瑛楠, 潘玺安. 考虑精细化碳交易的共享储能多微网系统经济调度[J]. 2025, (10): 65-76. DOI： doi:10.19912/j.0254-0096.tynxb.2024-1014.
摘要
为提升配电系统的低碳经济性
首先构建多微网共享储能系统协同优化调度框架
同时为在充分考虑碳交易市场供需关系的基础上实现减排激励的灵活调整与精细刻画
提出基于动态碳价和碳配额供求关系的精细化碳交易成本计算方法;然后
为在提升多微网共享储能系统在实时阶段的功率决策时效性的同时增强决策模型对含不确定性因素的风光出力时序信息的感知能力
提出一种结合长短期记忆网络与多智能体近端策略优化方法的强化学习算法;最后
在IEEE 33节点系统中对所提模型与方法在系统低碳运行能力、运行经济性与决策时效性等方面的提升作用进行仿真验证。
Abstract
In order to improve the low-carbon economy of the distribution system
this paper first constructs the collaborative optimization scheduling framework of multi microgrid shared energy storage system. At the same time
in order to realize the flexible adjustment and fine characterization of emission reduction incentives on the basis of fully considering the supply-demand relationship of the carbon trading market
a refined carbon trading cost calculation method based on the dynamic carbon price and carbon quota supply-demand relationship is proposed; Then
in order to improve the timeliness of power decision-making in the real-time phase of the multi microgrid shared energy storage system and enhance the ability of the decision-making model to perceive the time-series information of wind and solar output with uncertain factors
a reinforcement learning algorithm combining short-term and long-term memory network and multi-agent near end strategy optimization method is proposed; Finally
in IEEE 33 bus system
the improvement effect of the proposed model and method on the low-carbon operation ability
operation economy and decision timeliness of the system is verified by simulation.
关键词
Keywords
references
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