引用本文: | 程杉,程颖,贺彩,傅桐,王灿.考虑不确定性的配电网-多综合能源系统分布式协同规划[J].电力自动化设备,2024,44(11):24-32. |
| CHENG Shan,CHENG Ying,HE Cai,FU Tong,WANG Can.Distributed collaborative planning of distribution network-multiple integrated energy system considering uncertainty[J].Electric Power Automation Equipment,2024,44(11):24-32. |
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摘要: |
综合能源系统的多点并网加剧了配电网规划的“维数灾害”,提出兼顾多主体利益均衡性和分析计算高效性的配电网-多综合能源系统的分布式协同规划方法。以区间数刻画系统内的源-荷不确定性,构建计及多利益主体的配电网-多综合能源系统分布式协同规划框架;考虑多源联供的低碳清洁性、综合能源系统对配电网的支撑性和多能互补性,建立考虑奖惩碳交易机制的配电网-多综合能源系统双层规划模型;采用基于最大变差分析的目标级联分析法求解含有区间不确定性和多主体耦合性的规划模型。仿真结果表明,所提方法有效降低了配电网耦合综合能源系统的复杂度,提升了系统内各利益主体的均衡性。 |
关键词: 多综合能源系统 配电网 分布式优化 协同规划 最大变差分析 目标级联分析法 |
DOI:10.16081/j.epae.202404004 |
分类号:TM715 |
基金项目:国家自然科学基金资助项目(52107108) |
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Distributed collaborative planning of distribution network-multiple integrated energy system considering uncertainty |
CHENG Shan, CHENG Ying, HE Cai, FU Tong, WANG Can
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Hubei Engineering Technology Research Center for Microgrid, China Three Gorges University, Yichang 443002, China
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Abstract: |
The multi-point integration of integrated energy systems into grid exacerbates the “dimensional disaster” of distribution network planning, a distributed collaborative planning method for distribution network-multiple integrated energy system is proposed considering the equilibrium of multiple stakeholders and high efficiency of analysis and calculation. The source-load uncertainty in the system is depicted by the number of intervals, a distributed collaborative planning framework of distribution network-multiple integrated energy system is constructed considering multiple stakeholders. Considering the low-carbon cleanliness of multi-source combined supply, the support of integrated energy system to the distribution network and multi-energy complementarity, a two-layer planning model of distribution network-multiple integrated energy system is constructed with the consideration of reward-penalty carbon trading mechanism. The maximum variation analysis based analytical target cascading method is adopted to solve the planning model with interval uncertainty and coupling of multiple stakeholders. The simulative results show that the proposed method effectively reduces the complexity of distribution network coupling with integrated energy systems, and improves the equilibrium of each stakeholder in the system. |
Key words: multiple integrated energy system distribution network distributed optimization collaborative planning maximum variation analysis analytical target cascading method |