TY - GEN
T1 - A technique for optimal shunt capacitor reallocation considering voltage stability in N-1 contingencies
AU - Ohtake, Hiroshi
AU - Kimura, Katsuyuki
AU - Iwamoto, Shinichi
PY - 2007
Y1 - 2007
N2 - As certain electric power facilities have been used for a long time, some of these facilities have to be replaced due to age. Meanwhile, as the deregulation of the electric power industry has been prevailing, cost reduction and effective use of existing facilities are required in addition to ensuring stability. In this paper, we propose a new technique for optimal Shunt Capacitor (SC) reallocation. A feature of the technique is that not only the steady state but also all the N-1 contingencies are considered as constraints of an objective function. In the formulated objective function, the voltage stability index VMPI is included to consider the upper and lower limits of voltage. Moreover, the issue of finding an optimal solution for the objective function is a combinatorial optimization problem. Therefore, we solve the problem by using Genetic Algorithm, which is one of the methodologies involved in meta-heuristics. Simulations are carried out by using a 22 bus system to verify the proposed method.
AB - As certain electric power facilities have been used for a long time, some of these facilities have to be replaced due to age. Meanwhile, as the deregulation of the electric power industry has been prevailing, cost reduction and effective use of existing facilities are required in addition to ensuring stability. In this paper, we propose a new technique for optimal Shunt Capacitor (SC) reallocation. A feature of the technique is that not only the steady state but also all the N-1 contingencies are considered as constraints of an objective function. In the formulated objective function, the voltage stability index VMPI is included to consider the upper and lower limits of voltage. Moreover, the issue of finding an optimal solution for the objective function is a combinatorial optimization problem. Therefore, we solve the problem by using Genetic Algorithm, which is one of the methodologies involved in meta-heuristics. Simulations are carried out by using a 22 bus system to verify the proposed method.
KW - Combinatorial optimization problem
KW - Genetic algorithm
KW - Optimal allocation
KW - Voltage stability
KW - Voltage stability index VMPI
UR - http://www.scopus.com/inward/record.url?scp=42549122010&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=42549122010&partnerID=8YFLogxK
U2 - 10.1109/PES.2007.385887
DO - 10.1109/PES.2007.385887
M3 - Conference contribution
AN - SCOPUS:42549122010
SN - 1424412986
SN - 9781424412983
BT - 2007 IEEE Power Engineering Society General Meeting, PES
T2 - 2007 IEEE Power Engineering Society General Meeting, PES
Y2 - 24 June 2007 through 28 June 2007
ER -