基于鲁棒优化与阶梯式碳交易的高海拔多能微网群优化调度

张一帆; 刘章; 朱瑞金; 宋鑫于; 尹喆

张一帆,刘章,朱瑞金,宋鑫于,尹喆.基于鲁棒优化与阶梯式碳交易的高海拔多能微网群优化调度[J].电测与仪表,2025,62(8):29-38.
ZHANG Yifan,LIU Zhang,ZHU Ruijin,SONG Xinyu,YIN Zhe.Optimal scheduling of high-altitude multi-energy microgrid clusters based on robust optimization and stepped carbon trading[J].Electrical Measurement & Instrumentation,2025,62(8):29-38.

基于鲁棒优化与阶梯式碳交易的高海拔多能微网群优化调度

Optimal scheduling of high-altitude multi-energy microgrid clusters based on robust optimization and stepped carbon trading

DOI：j.issn1001-1390.2025.08.004

中文关键词: 关键词：高海拔地区多能微网电力市场领导鲁棒优化低碳运行

英文关键词:high-altitude regions, multi-energy microgrids, power market leadership, robust optimization, low-carbon operation

基金项目:国家自然科学基金资助项目（ 52167015）；林芝市科技计划基金资助项目（ZYYDDF2024-03）

作者中文名	作者英文名	单位
张一帆	ZHANG Yifan	西藏农牧学院电气工程学院
刘章	LIU Zhang	国网西藏电力有限公司林芝供电公司
朱瑞金	ZHU Ruijin	西藏农牧学院电气工程学院
宋鑫于	SONG Xinyu	西藏农牧学院电气工程学院
尹喆	YIN Zhe	西藏农牧学院电气工程学院

摘要点击次数: 79

中文摘要:

在“双碳”目标背景下，高海拔地区低碳能源系统的建设备受关注。为推动多微网系统的能源消纳与低碳经济运行，文章提出了一种在电价不确定性条件下的多微网协同调度方法。针对高海拔地区的电力和氧气需求，构建了基于电转气-碳捕集系统（power to gas-carbon capture system, P2G-CCS）和电转氢-变压吸附（power to hydrogen-variable pressure swing adsorption， P2H-VPSA）联合供氧系统的热电联产模式，并结合阶梯式碳交易机制，提出多能微网群的低碳运行模型。采用鲁棒优化策略应对电价波动带来的不确定性，降低系统运营风险。在电力市场领导模式下，引入系统运营商对微网间的功率交互进行集中调度，实现资源的整体优化分配。通过交替方向乘子法（alternating direction method of multipliers, ADMM）迭代求解优化微网交易量，确保供需平衡。算例结果表明，该方法有效降低了各微网的运行成本和整体能源成本，展现了其在弱配网环境下的广阔应用前景。

英文摘要:

Under the "dual carbon" goals, the construction of low-carbon energy system in high-altitude regions has become a focus. To promote energy consumption and low-carbon economic operation of multi-microgrid system, this paper proposes a coordinated scheduling method for multi-microgrid under electricity price uncertainty. Aiming at the electricity and oxygen demands in high-altitude regions, a combined heat and power (CHP) model is developed based on the joint oxygen supply system of power to gas-carbon capture system (P2G-CCS) and power to hydrogen- vacuum pressure swing adsorption (P2H-VPSA). Combined with the leveraging tiered carbon trading mechanism, a low-carbon operation model for multi-energy microgrid is proposed. A robust optimization strategy addresses electricity price fluctuations to reduce system operation risks. Under the leadership mode of the electricity market, centralized dispatching by a system operator optimizes resource allocation. Using the alternating direction method of multipliers (ADMM) is used to iteratively solve and optimize microgrid transaction volumes to ensure supply-demand balance. The case study results show the proposed method reduces operational cost of micro-grid and overall energy costs, demonstrating its broad application prospects in weak distribution network environments.

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