Title :
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
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;
Conference_Titel :
Green Technologies Conference (GreenTech), 2015 Seventh Annual IEEE
Conference_Location :
New Orleans, LA
DOI :
10.1109/GREENTECH.2015.26
