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作 者:Zheming Liang Desong Bian Xiaohu Zhang Di Shi
出 处:《CSEE Journal of Power and Energy Systems》2023年第5期1797-1807,共11页中国电机工程学会电力与能源系统学报(英文)
基 金:supported by State Grid Corporation of China(SGCC)under project“Hybrid Energy Storage Management Platform for Integrated Energy System”(No.SGGR0000DLJS1800932).
摘 要:This paper proposes an optimal risk-constrained energy management strategy for commercial buildings in a commercial campus with islanding capabilities.The goal is to minimize the total operation and maintenance costs,while maximizing comprehensive comfort levels for the occupants.A two-stage riskconstrained,scenario-based stochastic optimization approach is adopted to handle various uncertainties associated with the energy management process,such as power generation of rooftop solar panels,arrival state-of-charges,and arrival/departure time of plug-in electric vehicles,intermittent load demand,and uncertain grid-connection conditions.A conditional-valueat-risk method is introduced to provide a risk-averse energy management strategy.To face the challenge of both reducing the computational burden and maintaining the accuracy of the stochastic programming,an advanced scenario reduction method is leveraged.Extensive simulation results validate the effectiveness of the proposed energy management strategy for minimizing total operating and maintenance costs of commercial buildings with islanding capabilities,while maximizing comprehensive comfort levels of the occupants.
关 键 词:Comprehensive comfort levels CVAR energy management islanding capability RESERVE stochastic programming uncertainty
分 类 号:TM73[电气工程—电力系统及自动化]
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