基于分布式清洁能源的零碳综合能源系统自主协同优化调度方法研究

张海龙; 何欣; 杨晶; 刘文飞; 罗颖冰; 方斯顿

张海龙,何欣,杨晶,刘文飞,罗颖冰,方斯顿.基于分布式清洁能源的零碳综合能源系统自主协同优化调度方法研究[J].电测与仪表,2026,63(2):54-62.
ZHANG Hailong,HE Xin,YANG Jin,LIU Wenfei,LUO Yingbing,FANG Sidun.Research on Autonomous Collaborative Optimization and Scheduling Methods for Zero Carbon Integrated Energy Parks Based on Distributed Clean Energy[J].Electrical Measurement & Instrumentation,2026,63(2):54-62.

基于分布式清洁能源的零碳综合能源系统自主协同优化调度方法研究

Research on Autonomous Collaborative Optimization and Scheduling Methods for Zero Carbon Integrated Energy Parks Based on Distributed Clean Energy

DOI：10.19753/j.issn1001-1390.2026.02.006

中文关键词: 农牧零碳园区综合能源系统多园区互济经济运行

英文关键词:agriculture and animal husbandry zero-carbon park, integrated energy system, multiple park coordination, economic operation

基金项目:国家电网有限公司科技项目（5400-202333587A-3-2-ZN）

作者中文名	作者英文名	单位
张海龙	ZHANG Hailong	国网甘肃省电力公司
何欣	HE Xin	国网甘肃省电力公司
杨晶	YANG Jin	国网甘肃省电力公司
刘文飞	LIU Wenfei	国网甘肃省电力公司
罗颖冰	LUO Yingbing	输变电装备技术全国重点实验室（重庆大学电气工程学院）
方斯顿	FANG Sidun	输变电装备技术全国重点实验室（重庆大学电气工程学院）

摘要点击次数: 459

中文摘要:

农牧园区的分布式清洁能源聚合互补有利于可再生资源消纳，以提高系统供需平衡能力。然而，农牧园区的时序生产特性与负荷水平与传统工业园区具有显著差异，存在柔性资源难以聚合调控等问题。在此背景下，提出一种基于分布式清洁能源的零碳综合能源系统自主协同优化调度方法。分析典型农牧园区综合能源系统组成及生物质综合利用节能特性，由此建立基于分布式清洁能源的农牧零碳园区协同优化模型，实现多能流高效协同，建立一个考虑多园区柔性资源跨时空互联互济的双层运行控制框架，上层运行目标用于求解多农牧零碳园区最小运行成本，并利用信息交互-时序滚动优化方法以应对分布式电源的随机特性，下层控制目标用于解决不同管理主体之间的信息隐私和运营权限问题，最终实现零碳综合能源系统的节能、经济运行，通过仿真案例验证了所提方法在促进可再生资源消纳方面的有效性。

英文摘要:

The distributed clean energy aggregation and complementarity in agricultural and animal husbandry parks are conducive to the consumption of renewable resources, so as to improve the supply-demand balance capability of system. However, the temporal production characteristics and load levels of agricultural and animal husbandry parks are significantly different from traditional industrial parks, and there are problems such as difficulty in aggregating and regulating flexible resources. In this context, the paper proposes an autonomous collaborative optimization and scheduling method for zero-carbon parks based on distributed clean energy. Analyzing the composition and operational characteristics of the comprehensive energy system in typical agricultural and animal husbandry parks, and a collaborative optimization model for multi-agricultural and animal husbandry zero-carbon parks is established based on the natural negative carbon attributes of agricultural and animal husbandry parks, to achieve efficient collaboration of multi-energy flow. A dual layer operation control framework is established that considers the cross-temporal and spatial interconnection and mutual benefit of multiple parks. The upper layer operation objective is used to solve the minimum operating cost of multi-agriculture and animal husbandry zero-carbon parks, and the information interaction temporal rolling optimization method is used to cope with the stochastic characteristics of distributed power sources. The lower layer control objective is used to solve the information privacy and operation permission issues between different management entities, ultimately achieving the optimal economic operation between multi-agriculture and animal husbandry zero-carbon parks. Finally, the effectiveness of the proposed method in promoting the balance of interests among various park entities and achieving multilateral win-win outcomes is verified through simulation cases.

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