Title
Optimal planning of parking lots and demand response programs in distribution network considering power loss and voltage profile
Abstract
Plug-In Electric Vehicles (PEVs) have been developing to cope with fossil fuels pollution, which is produced by Internal Combustion Engine (ICE) vehicles in big cities. The vehicles are equipped by strong batteries, which can be charged and discharged for many times. This significant aspect enables vehicles to participate in various electricity power markets. In this paper, optimal sizing of parking lots along with Demand Response (DR) programs are presented to decline distribution network loss and voltage drop. Times of Use (TOU), Critical Peak Pricing (CPP) and Real Time Pricing (RTP) as three major time-based DR programs are applied to the problem. Genetic Algorithm (GA) is employed to solve the optimization problem. Simulation is carried out on a 33 bus radial distribution network. Results demonstrate optimal sizing of parking lots along with implemented DR programs has a significant effect on improving network loss and voltage drop.
Year
DOI
Venue
2015
10.1109/ISGT.2015.7131899
Innovative Smart Grid Technologies Conference
Keywords
Field
DocType
battery powered vehicles,genetic algorithms,power distribution economics,power distribution planning,power markets,pricing,33-bus radial distribution network,CPP,DR program,GA,ICE vehicles,PEV,RTP,TOU,critical peak pricing,demand response programs,distribution network loss,electricity power markets,fossil fuel pollution,genetic algorithm,internal combustion engine vehicles,optimal planning,optimal sizing,optimization problem,parking lots,plug-in electric vehicles,power loss,real time pricing,time-based DR programs,time-of-use,voltage drop,voltage profile,Demand Response,Distribution Network,Loss,Optimal Planning,Parking Lot,Vehicle to Grid (V2G)
Load management,Automotive engineering,Parking lot,Electricity,Voltage,Transport engineering,Demand response,Voltage drop,Sizing,Engineering,Optimization problem
Conference
Citations 
PageRank 
References 
0
0.34
3
Authors
4
Name
Order
Citations
PageRank
Amin Mohsenzadeh100.68
Samaneh Pazouki200.34
m r haghifam312.08
Chengzong Pang400.68