May 16, 2024
Sayyad Nojavan

Sayyad Nojavan

Academic rank: Associate professor
Address:
Education: Ph.D in ٍElectrical Power Engineering
Phone: 09148903379
Faculty: Faculty of Engineering
Department: Electrical Engineering

Research

Title
Large Consumer Electricity Acquisition Considering Time-of-Use Rates Demand Response Programs
Type Article
Keywords
Demand response programs (DRP) · Stochastic energyprocurement · Large consumer · Time-of-use (TOU) program
Researchers Sayyad Nojavan، Hadi Qesmati، Kazem Zare، heresh seyed

Abstract

The consumers try to obtain their electricity demand at minimum cost from different resources in restructured electricity markets. Hence more attention have been made on demand response programs (DRP) which aims to electricity price reduction, transmission lines congestion solution, security intensification and improvement of market liquidity and customer load benefit. This paper develops a stochastic energy procurement model for large consumer with multiple options including distributed generations, bilateral contracts and pool market purchase considering DRP. Pool market price uncertainty is modeled based on scenario distribution curve approach such as normal distribution curve. The curve is divided into several areas, each area identified as a scenario, and the problem is solved using stochastic programming. Also, this paper is focused to study the effect of DRP on total expected procurement cost has been discussed in all scenarios. Actually a new stochastic framework using demand response program is presented for large consumer expected procurement cost reduction.