Title :
Meta-heuristic approach for Distributed Generation planning in electricity market paradigm
Author :
Jain, N. ; Singh, S.N. ; Srivastava, S.C.
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol. Kanpur, Kanpur, India
Abstract :
Renewable Distributed Generations (DGs), are being increasingly placed in the power system networks due to their several technical, economical and environmental benefits. In this paper, a heuristic approach utilizing Modified Particle Swarm Optimization method is considered for placement of DGs. Monte Carlo Simulation (MCS) based probabilistic load flow, considering uncertainty in load demand and generation, is used to find unavailability of wind generation, under no wind and/or over voltage conditions. The Net Present Value (NPV) analysis of the optimal DG planning under electricity market paradigm is carried out for biomass DG, wind DG and Solar Photo Voltaic (SPV) DG for their ranking. The proposed market-based analysis is simple and generic, and provides choice to the distribution company to choose DGs under various constraints. Results on two practical distribution networks demonstrate the effectiveness of the proposed method.
Keywords :
Monte Carlo methods; distributed power generation; load flow; particle swarm optimisation; power distribution planning; power generation planning; power markets; solar power stations; wind power plants; MCS-based probabilistic load flow; Monte Carlo simulation; NPV analysis; SPV DG; biomass DG; distributed generation planning; distribution company; distribution networks; economical benefit; electricity market paradigm; environmental benefit; load demand; market-based analysis; meta-heuristic approach; modified particle swarm optimization method; net present value; optimal DG planning; overvoltage condition; power system networks; renewable DG; renewable distributed generations; solar photovoltaic DG; wind DG; wind generation; Biomass; Electricity supply industry; Load flow; Particle swarm optimization; Planning; Probabilistic logic; Wind speed; DG placement; Distributed system; energy market; load flow;
Conference_Titel :
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-2727-5
Electronic_ISBN :
1944-9925
DOI :
10.1109/PESGM.2012.6344813
