Residential Load Reduction Scheduling with Optimal Power Flow and Segmented Incentives

In this paper, we formulate an optimal scheduling problem for demand response (DR) that schedules residential electrical appliances load to shave peak load. The schedule aims to minimize the total incentive cost and power loss over the power flow variables, subject to load capacity of users, grid op...

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Published inIEEE Power & Energy Society General Meeting pp. 1 - 5
Main Authors Yu, Ziwen, You, Pengcheng, Yang, Zaiyue
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2018
Subjects
Air conditioning
convex relaxation
Demand Response (DR)
DistFlow equations
Electrical products
Load flow
Load management
Load modeling
Mathematical model
second-order cone programming (SOCP)
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Abstract In this paper, we formulate an optimal scheduling problem for demand response (DR) that schedules residential electrical appliances load to shave peak load. The schedule aims to minimize the total incentive cost and power loss over the power flow variables, subject to load capacity of users, grid operational constraints and the AC power flow equations. To deal with the nonconvexity of power flow equations, we present a solution based on second-order cone programming (SOCP) relaxation of optimal power flow. Furthermore, if the SOCP relaxation is exact, our algorithm yields a globally optimal solution. Finally, we evaluate the performance of our method by numerical simulations, which indicate that it is efficient and flexible.
AbstractList In this paper, we formulate an optimal scheduling problem for demand response (DR) that schedules residential electrical appliances load to shave peak load. The schedule aims to minimize the total incentive cost and power loss over the power flow variables, subject to load capacity of users, grid operational constraints and the AC power flow equations. To deal with the nonconvexity of power flow equations, we present a solution based on second-order cone programming (SOCP) relaxation of optimal power flow. Furthermore, if the SOCP relaxation is exact, our algorithm yields a globally optimal solution. Finally, we evaluate the performance of our method by numerical simulations, which indicate that it is efficient and flexible.
Author Yang, Zaiyue
Yu, Ziwen
You, Pengcheng
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  surname: Yang
  fullname: Yang, Zaiyue
  organization: State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, China
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Snippet In this paper, we formulate an optimal scheduling problem for demand response (DR) that schedules residential electrical appliances load to shave peak load....
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SubjectTerms Air conditioning
convex relaxation
Demand Response (DR)
DistFlow equations
Electrical products
Load flow
Load management
Load modeling
Mathematical model
second-order cone programming (SOCP)
Title Residential Load Reduction Scheduling with Optimal Power Flow and Segmented Incentives
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