山东电力技术2026，Vol.53Issue(4)：14-25,12.DOI:10.20097/j.cnki.issn1007-9904.250505
考虑柔性负荷资源参与调控的农牧园区经济运行策略
Economic Operation Strategy of Agricultural and Animal Husbandry Parks Considering Flexible Load Resources Participating in Regulation
摘要
Abstract
In the context of global low-carbon economic transformation,agriculture and animal husbandry,as important sources of greenhouse gas emissions,are facing challenges in their traditional energy utilization model,including low efficiency and high operating costs,which seriously limits the sustainable development of agricultural and animal husbandry parks.Therefore,the paper proposes an optimized scheduling strategy for the integrated energy system(IES)of agricultural and animal husbandry parks considering flexible load resources participating in regulation.Firstly,based on the energy structure characteristics of agricultural and animal husbandry parks,an IES model is established that includes biomass power generation and organic waste recycling;Secondly,a carbon quota trading mechanism is introduced to construct a carbon-energy joint cost model that quantifies the economic cost of system carbon emissions;Finally,considering both system operating costs and carbon trading costs,an IES optimization scheduling strategy for agricultural and animal husbandry parks is proposed with the goal of minimizing the total cost.Through simulation analysis of an IES of agricultural and animal husbandry park,the optimization strategy proposed in this article can effectively improve the energy utilization efficiency of the IES,reduce the total operating cost of the park by 1.07%,and reduce the peak-valley difference of heat net load by 41.51%,effectively improving the comprehensive economic and environmental benefits.关键词
农牧园区/柔性资源/经济运行/碳交易Key words
agricultural and animal husbandry parks/flexible resources/economic operation/carbon trade分类
信息技术与安全科学引用本文复制引用
张海龙,王建伟,牛涛,吴洛菲,白保华..考虑柔性负荷资源参与调控的农牧园区经济运行策略[J].山东电力技术,2026,53(4):14-25,12.基金项目
国家电网有限公司科技项目(5400-202333587A-3-2-ZN).Science and Technology Project of State Grid Corporation of China(5400-202333587A-3-2-ZN). （5400-202333587A-3-2-ZN）
