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 mutual assistance, economical 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	重庆大学
方斯顿	FANG Sidun	重庆大学

摘要点击次数: 89

中文摘要:

农牧园区的分布式清洁能源聚合互补有利于大规模可再生资源消纳，有助于减缓农配网改造压力，提升系统供需平衡能力。然而，多类型农牧园区的时序生产特性与负荷水平不同，导致单一园区扩容改造成本高、多园区聚合互补管控困难、区域配电网难以自治管理等问题。在此背景下，论文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。首先，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，结合农牧园区天然负碳属性建立多农牧零碳园区协同优化模型，实现多能流动态求解；随后，建立一个考虑多园区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，最终实现多农牧零碳园区之间的最佳经济运行。最终，通过仿真案例验证了所提方法在促进各园区主体利益均衡及多边共赢方面的有效性。

英文摘要:

The flexible resource aggregation and complementarity of distributed biomass comprehensive utilization in agricultural and animal husbandry parks are conducive to the large-scale consumption of renewable resources, which helps to alleviate the pressure of agricultural distribution network transformation. However, the temporal production characteristics and load levels of multiple types of agricultural and animal husbandry parks are different, resulting in the high cost of single park expansion and renovation, difficulties in aggregation and complementary control of multiple parks, and difficulty in autonomous management of regional distribution networks. In this context, the paper proposes a autonomous collaborative optimization and scheduling method for zero carbon parks based on distributed clean energy. Firstly, analyze the composition and operational characteristics of the comprehensive energy system in typical agricultural and animal husbandry parks, and establish a collaborative optimization model for multi-agricultural and animal husbandry zero carbon parks based on the natural negative carbon attributes of agricultural and animal husbandry parks, to achieve the dynamic solution of multi-energy flow; Subsequently, 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 was verified through simulation cases.

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