An Energy Management Algorithm of PV-Assisted Smart Building Based on Offline Optimization and Online Decision

doi:10.11930/j.issn.1004-9649.201805167

Abstract

Abstract: As an important development form of comprehensive energy, the charging demand and PV power of PV-assisted smart buildings have great uncertainty. The existing methods of energy management of PV-assisted smart buildings are not completely applicable. An energy management algorithm of PV-assisted smart building based on offline optimization and online decision is proposed in this paper. Firstly,combined with the historical operation data of photovoltaic intelligent buildings, an offline optimization model aiming at maximizing operating income is established, which provides a knowledge base for online learning through offline optimization. Then, in order to dispatch the smart building energy in real-time, under the condition of time-of-use price, the online algorithm is established combined with online learning and rule-based. The charging power of EVs and working conditions of shiftable loads can be decided using the online algorithm. Finally, taking a business building as an example, the proposed algorithm is tested. The simulation results show that the method can be operated without future information of PV power, charging demand and shiftable loads.

Key words: PV-assisted smart building, electric vehicle, suitable load, PV system, online decision, energy management

CLC Number:

TM615

SHI Xuntao, LEI Jinyong, HUANG Andi, YU Lei, GUO Xiaobin, ZOU Fuqiang, LIU Nian. An Energy Management Algorithm of PV-Assisted Smart Building Based on Offline Optimization and Online Decision[J]. Electric Power, 2019, 52(10): 123-131.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.201805167

https://www.electricpower.com.cn/EN/Y2019/V52/I10/123

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