A Bi-Level Coordinated Optimization Strategy for Smart Appliances Considering Online Demand Response Potential
Jia Ning,
Yi Tang,
Qian Chen,
Jianming Wang,
Jianhua Zhou and
Bingtuan Gao
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Jia Ning: School of Electrical Engineering, Southeast University, Nanjing 210096, Jiangsu, China
Yi Tang: School of Electrical Engineering, Southeast University, Nanjing 210096, Jiangsu, China
Qian Chen: School of Electrical Engineering, Southeast University, Nanjing 210096, Jiangsu, China
Jianming Wang: Jiangsu Electric Power Company Research Institute, Nanjing 211103, Jiangsu, China
Jianhua Zhou: Jiangsu Electric Power Company Research Institute, Nanjing 211103, Jiangsu, China
Bingtuan Gao: School of Electrical Engineering, Southeast University, Nanjing 210096, Jiangsu, China
Energies, 2017, vol. 10, issue 4, 1-16
Abstract:
Demand response (DR) is counted as an effective method when there is a large-capacity power shortage in the power system, which may lead to peak loads or a rapid ramp. This paper proposes a bi-level coordinated optimization strategy by quantitating the DR potential (DRP) of smart appliances to descend the steep ramp and balance the power energy. Based on dynamic characteristics of the smart appliances, the mathematic models of online DRP are presented. In the upper layer, a multi-agent coordinated distribution method is proposed to allocate the demand limit to each agent from the dispatching center considering the online DRP. In the lower layer, an optimal smart appliances-controlling strategy is presented to guarantee the total household power consumption of each agent below its demand limit considering the consumers’ comfort and response times. Simulation results indicate the feasibility of the proposed strategy.
Keywords: demand response potential (DRP); bi-level strategy; smart appliance; comfort index (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (7)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:10:y:2017:i:4:p:525-:d:95718
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