Residential Load Reduction Scheduling with Optimal Power Flow and Segmented Incentives

Yu, Ziwen1; You, Pengcheng1; Yang, Zaiyue1,2

10.1109/PESGM.2018.8585973

2018

19449933

978-1-5386-7704-9

2018 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM)

2018-August

1-5

5-10 Aug. 2018

Portland, OR, United states

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

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.

Demand Response (DR) second-order cone programming (SOCP) DistFlow equations convex relaxation

其他

英语

CPCI-S ; EI

Energy & Fuels ; Engineering

Energy & Fuels ; Engineering, Electrical & Electronic

WOS:000457893900219

20190506458971

Acoustic generators ; Housing ; Numerical methods ; Relaxation processes ; Scheduling

Urban Planning and Development:403.1 ; Electric Power Systems:706.1 ; Acoustic Generators:752.4 ; Management:912.2 ; Numerical Methods:921.6 ; Mechanics:931.1

Web of Science

1.Zhejiang Univ, State Key Lab Ind Control Technol, Hangzhou, Zhejiang, Peoples R China
2.Southern Univ Sci & Technol, Dept Mech & Energy Engn, Shenzhen, Peoples R China

Yu, Ziwen,You, Pengcheng,Yang, Zaiyue. Residential Load Reduction Scheduling with Optimal Power Flow and Segmented Incentives[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2018:1-5.