为解决综合能源系统(integrated energy system,IES)盈余风电转化效率低、碳排放量大和存在源荷不确定性等问题,提出了一种基于信息间隙决策理论(info-gap decision theory,IGDT)的含氢能多元应用和碳捕集IES优化调度模型。首先,将电转...为解决综合能源系统(integrated energy system,IES)盈余风电转化效率低、碳排放量大和存在源荷不确定性等问题,提出了一种基于信息间隙决策理论(info-gap decision theory,IGDT)的含氢能多元应用和碳捕集IES优化调度模型。首先,将电转气细分为电解池、甲烷反应器两部分,并增设了氢燃料电池、掺氢热电联产和掺氢燃气锅炉等氢能应用,以充分发挥氢能的应用优势;其次,引入了储液式碳捕集,与氢能应用协同运行,同时以低碳经济为目标建立了系统优化调度模型;在此基础上,采用IGDT对源荷不确定性进行处理,根据风险态度制定了风险规避与机会寻求2种调度策略。结果表明:与不含氢能多元应用和碳捕集的IES模型相比,所提出的模型运行总成本下降了16.9%,碳排放量降低了29.4%,盈余风电转化效率提升了32.1百分点;风险规避策略可提高系统应对不确定性波动的能力,但成本会有一定程度的升高,而机会寻求策略则能充分利用有利不确定性来获得潜在效益,但需承担一定风险。展开更多
The operational stability and economy of multi-energy systems(MES)are threatened by various uncertainties,such as variable renewable energy power,energy demands,and weather conditions.Most of the existing methods for ...The operational stability and economy of multi-energy systems(MES)are threatened by various uncertainties,such as variable renewable energy power,energy demands,and weather conditions.Most of the existing methods for the dispatch decisions of MES are based on the prescribed probability distribution or uncertainty sets of random variables,which have many disadvantages,such as potential infeasibility and over-conservatism.In this paper,we propose a novel dispatch model for MES that integrates dispatch decision making,uncertainty set selection,and operational cost control into a unified framework.First,the deterministic dispatch model of MES is introduced,in which the physical characteristics of district heating systems and buildings are fully considered.Then,a novel decision framework that combines the two-stage dispatch strategy and info-gap decision theory(IGDT)is proposed for MES,where the uncertainty set is flexible and can be optimized based on the operational cost budget.Finally,a revised algorithm,based on the column-and-constraint generation method,is proposed for the model.Case studies are performed on MES that includes a 33-bus distribution system and a heating network modified from a real 51-node network located in Jinlin Province,China.The results verify the effectiveness of the proposed method.展开更多
文摘为解决综合能源系统(integrated energy system,IES)盈余风电转化效率低、碳排放量大和存在源荷不确定性等问题,提出了一种基于信息间隙决策理论(info-gap decision theory,IGDT)的含氢能多元应用和碳捕集IES优化调度模型。首先,将电转气细分为电解池、甲烷反应器两部分,并增设了氢燃料电池、掺氢热电联产和掺氢燃气锅炉等氢能应用,以充分发挥氢能的应用优势;其次,引入了储液式碳捕集,与氢能应用协同运行,同时以低碳经济为目标建立了系统优化调度模型;在此基础上,采用IGDT对源荷不确定性进行处理,根据风险态度制定了风险规避与机会寻求2种调度策略。结果表明:与不含氢能多元应用和碳捕集的IES模型相比,所提出的模型运行总成本下降了16.9%,碳排放量降低了29.4%,盈余风电转化效率提升了32.1百分点;风险规避策略可提高系统应对不确定性波动的能力,但成本会有一定程度的升高,而机会寻求策略则能充分利用有利不确定性来获得潜在效益,但需承担一定风险。
基金the National Science Foundation of China(52207080)in part by the State Grid Jiangsu Electric Power Company Science and Technology Project(J2020001)in part by the National Science Foundation of Jiangsu Province(BK20200404).
文摘The operational stability and economy of multi-energy systems(MES)are threatened by various uncertainties,such as variable renewable energy power,energy demands,and weather conditions.Most of the existing methods for the dispatch decisions of MES are based on the prescribed probability distribution or uncertainty sets of random variables,which have many disadvantages,such as potential infeasibility and over-conservatism.In this paper,we propose a novel dispatch model for MES that integrates dispatch decision making,uncertainty set selection,and operational cost control into a unified framework.First,the deterministic dispatch model of MES is introduced,in which the physical characteristics of district heating systems and buildings are fully considered.Then,a novel decision framework that combines the two-stage dispatch strategy and info-gap decision theory(IGDT)is proposed for MES,where the uncertainty set is flexible and can be optimized based on the operational cost budget.Finally,a revised algorithm,based on the column-and-constraint generation method,is proposed for the model.Case studies are performed on MES that includes a 33-bus distribution system and a heating network modified from a real 51-node network located in Jinlin Province,China.The results verify the effectiveness of the proposed method.
