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作 者:Bo Zeng Yu Liu Yangfan Luo Hao Xu Luqman Ahmed
机构地区:[1]the State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources,North China Electric Power University,Beijing 102206,China [2]the State Grid Kaifeng Power Supply Company,Kaifeng 475000,China
出 处:《CSEE Journal of Power and Energy Systems》2023年第6期2344-2355,共12页中国电机工程学会电力与能源系统学报(英文)
基 金:the Chinese National Funding of Social Sciences(19ZDA081).
摘 要:This study presents an optimal electricity-heat system(EHS)planning framework to promote the accommodation of wind power while considering technical,economic and environmental criteria.To this end,integrated demand response(IDR)is introduced as a flexibility resource to complement the inherent fluctuation of renewable energy sources and modeled by using price elasticity theory.Both the timing transferring and energy substitution potentials are considered in the proposed IDR program.Incorporating the effect of IDR into the EHS planning model,a two-stage stochastic programming model can be devised,in which the optimal EHS configuration design and associated operation control techniques are found simultaneously to minimize the system’s total economic and carbon-emission costs over the planning horizon.The multi-scale uncertainties arising from both long-term demand growth and operation-level variability of renewables/load demands are captured collectively by using a scenario-based method.The suggested planning approach is illustrated using a real EHS test case and the results show that it is effective in practical applications.
关 键 词:Electricity-heat system(EHS) carbon emission wind power multi-scale uncertainties stochastic programming
分 类 号:TM73[电气工程—电力系统及自动化]
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