摘要
安全稳定、低碳清洁是全球能源发展的主流方向,如何充分发挥需求侧资源响应潜力以及降低系统源、荷不确定因素对实现能源可持续发展具有重要意义。为此,提出了一种考虑双重需求响应和阶梯型碳交易机制的综合能源系统(IES)双时间尺度优化调度策略。针对电、热、气负荷的可调度特性和不同时间尺度下的响应差异性,提出了双重激励的综合需求响应(IDR)模型。为实现IES低碳经济运行,建立了基于日前价格型IDR策略和阶梯型碳交易机制的IES日前低碳优化调度模型。考虑日前源、荷预测误差对IES调度的影响,基于模型预测控制和日内激励型IDR策略,建立了以购能成本、各设备出力调整成本和阶梯型激励补贴成本之和最小为目标的日内滚动优化调度模型,并采用CPLEX对所提模型进行求解。仿真结果验证了所提模型能有效兼顾系统经济性和环保性,同时提高了系统平抑源、荷功率波动的能力。
Security,stability,low-carbon and clean energy are the main direction of global energy develop⁃ment.How to give full play to the potential of demand-side resource response and reduce the uncertainty of system’s source and load are of the great significance for sustainable energy development.For that,a dual time scale optimal scheduling strategy of integrated energy system(IES)considering the dual demand response and stepped carbon trading mechanism is proposed.Aiming at the schedulable characteristics of electric,thermal and gas loads and the response difference under different time scales,the integrated demand response(IDR)model with dual excitations is proposed.To realize the low-carbon and economic operation of IES,the day-ahead low-carbon optimal scheduling model of IES is established based on the day-ahead price-based IDR strategy and stepped carbon trading mechanism.Considering the impacts of the day-ahead source and load prediction error on the scheduling of IES,the intra-day rolling optimal scheduling model to minimize the sum of energy purchasing cost,output adjustment cost of each equipment,and stepped incen⁃tive subsidy cost is established based on the model predictive control and intra-day incentive-based IDR strategy,and CPLEX is adopted to solve the proposed model.The simulative results verify that the proposed model can effectively balance the economic and environmental protection of system while improving its abi�lity to smooth the fluctuation of source and load power.
作者
刘光宇
韩东升
刘超杰
郭洪昌
范瑞卿
张保健
LIU Guangyu;HAN Dongsheng;LIU Chaojie;GUO Hongchang;FAN Ruiqing;ZHANG Baojian(Wuqing District Power Supply Company of State Grid Tianjin Electric Power Company,Tianjin 301700,China;School of Electrical and Electronic Engineering,North China Electric Power University,Baoding 071003,China)
出处
《电力自动化设备》
EI
CSCD
北大核心
2023年第5期218-225,共8页
Electric Power Automation Equipment
基金
国家自然科学基金资助项目(61771195)。
关键词
综合能源系统
不确定性
双重综合需求响应
双时间尺度
阶梯型碳交易机制
integrated energy system
uncertainty
dual integrated demand response
dual time scale
ladder carbon trading mechanism
