TY - GEN
T1 - Optimal allocation of renewable DG for reliability improvement and losses reduction
AU - Shaaban, M. F.
AU - El-Saadany, E. F.
PY - 2012
Y1 - 2012
N2 - This paper presents a methodology to evaluate the cost of energy losses and the cost of interruption in distribution networks with renewable distributed generation (DG) connections. Moreover, it presents a renewable DG allocation planning algorithm to determine the optimum locations and sizes of DG units in distribution network for reliability improvement and energy losses reduction. The proposed approach takes into consideration customers' sectors, load variation, stochastic nature of renewable DG, and variable hourly cost of energy. The allocation planning problem is defined as mixed integer nonlinear programming problem, where genetic algorithm (GA) is utilized. Using the proposed approach, the distribution companies can determine optimum sizes and locations of DG units in their systems; besides, the expected reduction in the energy losses and outages costs.
AB - This paper presents a methodology to evaluate the cost of energy losses and the cost of interruption in distribution networks with renewable distributed generation (DG) connections. Moreover, it presents a renewable DG allocation planning algorithm to determine the optimum locations and sizes of DG units in distribution network for reliability improvement and energy losses reduction. The proposed approach takes into consideration customers' sectors, load variation, stochastic nature of renewable DG, and variable hourly cost of energy. The allocation planning problem is defined as mixed integer nonlinear programming problem, where genetic algorithm (GA) is utilized. Using the proposed approach, the distribution companies can determine optimum sizes and locations of DG units in their systems; besides, the expected reduction in the energy losses and outages costs.
KW - cost damage function
KW - distributed generation
KW - distribution system
KW - Monte-Carlo simulation
UR - http://www.scopus.com/inward/record.url?scp=84870620764&partnerID=8YFLogxK
U2 - 10.1109/PESGM.2012.6345054
DO - 10.1109/PESGM.2012.6345054
M3 - Conference contribution
AN - SCOPUS:84870620764
SN - 9781467327275
T3 - IEEE Power and Energy Society General Meeting
BT - 2012 IEEE Power and Energy Society General Meeting, PES 2012
T2 - 2012 IEEE Power and Energy Society General Meeting, PES 2012
Y2 - 22 July 2012 through 26 July 2012
ER -