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考虑低碳与稳定的冷热电综合能源系统模型与控制策略研究

Research on the Model and Control Strategy of the Integrated Energy System of Cooling Heating and Power Considering Low Carbon and Stability
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摘要 随着能源危机和环境污染的加重,为了提高能源利用效率、降低能源使用中的碳排放,多种能源形式与能量耦合的区域综合能源系统成为了重要的方向。冷热电连供系统(CCHP)是区域综合能源中重要组成部分,和综合能源中的新能源发电相互协调配合,实现能源的高效利用。以社会环境为目标建立的管控目标函数,在满足区域中能量的需求的情况下,保证区域综合能源系统安全稳定运行下建立控制模型。考虑到区域综合能源系统中的碳配额、基本电价以及可再生能源的波动设计了多时间尺度综合能源管控方案,并利用混沌-模拟退火改进粒子群算法(CSA-BPSO)进行多目标求解,得到保持系统稳定和低碳的控制策略。最后利用实际的综合能源系统不同实时工况下的数据进行了验证,结果证明了模型和控制策略的有效性。 With the aggravation of energy crisis and environmental pollution,in order to improve energy utilization efficiency and reduce carbon emissions in energy use,a regional comprehensive energy system with multiple energy forms and energy coupling has become an important direction.CCHP(Combined Cooling,Heating and Power Supply System)is an important part of regional comprehensive energy,and it is coordinated with the new energy generation in comprehensive energy to realize the efficient use of energy.The control objective function,which aims at the social environment,establishes a control model under the condition of meeting the energy demand in the region and ensuring the safe and stable operation of the regional comprehensive energy system.Considering the fluctuation of carbon quota,basic electricity price and renewable energy in the regional comprehensive energy system,a multi-time scale comprehensive energy management and control scheme is designed,and the chaos-simulated annealing improved particle swarm optimization(CSA-BPSO)is used to solve the multi-objective problem,and the control strategy to keep the system stable and low-carbon is obtained.Finally,the data of the actual comprehensive energy system under different real-time working conditions arc verified,and the results prove the effectiveness of the model and control strategy.
作者 李东明 高源 李适含 谷彩连 冷雪敏 LI Dong-ming;GAO Yuan;LI Shi-han;GU Cai-lian;LENG Xue-min(State Grid Liaoning Electric Power Co Ltd Tieling Power Supply Company,Tieling 112000,China;School of Electric Power,Shenyang Institute of Engineering,Shenyang 110136,China)
出处 《武汉理工大学学报》 CAS 2023年第12期142-148,共7页 Journal of Wuhan University of Technology
基金 国网辽宁省电力有限公司科技项目(2022YF-45).
关键词 能量耦合 冷热电连供系统 区域综合能源 混沌-模拟退火改进粒子群算法 控制策略 energy coupling combined cooling heating and power supply system regional comprehensive energy chaos-simulated annealing improved particle swarm optimization control policy
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