An Optimal Demand Response Pricing Model for Smart Grids

Author

Yining Qin ; Liang Min ; Yiming Yao

Author_Institution

Comput. Eng. Div., Lawrence Livermore Nat. Lab., Livermore, CA, USA

fYear

2015

fDate

15-17 April 2015

Firstpage

44

Lastpage

49

Abstract

This paper presents an optimal demand response pricing model for smart grids. A physical Transmission and distribution grid simulation model with renewable power sources is built to calculate optimal demand response price strategies that maximize peak load shifting and grid efficiency. A parallel PSO (Particle Swarm Optimization) solver implemented on an HPC (High Performance Computing) platform is used for the nonlinear optimization. Results indicate that the optimal demand response pricing scheme would improve overall grid operation performance by intelligently dispatching behind the meter resources in dual directions -- increasing and decreasing load demands.

Keywords

load dispatching; nonlinear programming; parallel processing; particle swarm optimisation; power distribution economics; power transmission economics; pricing; renewable energy sources; smart power grids; HPC; distribution grid simulation model; high performance computing platform; load dispatching; nonlinear optimization; optimal demand response pricing model; parallel PSO; particle swarm optimization; peak load shifting maximization; renewable power sources; smart grid efficiency maximization; transmission grid simulation model; Computational modeling; Load management; Load modeling; Optimization; Pricing; Simulation; Water heating; HPC (High Performance Computing); Optimization demand response pricing; parallel PSO; power grid simulation;

fLanguage

English

Publisher

ieee

Conference_Titel

Green Technologies Conference (GreenTech), 2015 Seventh Annual IEEE

Conference_Location

New Orleans, LA

Type

conf

DOI

10.1109/GREENTECH.2015.26

Filename

7150228