The reactive power dispatch (RPD) problem is a very critical optimization problem of power system which minimizes the real power loss of the transmission system. While solving the said problem, generator bus voltages and transformer tap settings are kept within a stable operating limit. In connection with the RPD problem, solving reactive power is compensated by incorporating shunt capacitors. The particle swarm optimization (PSO) technique is a swarm intelligence based fast working optimization method which is chosen in this paper as an optimization tool. Additionally, the constriction factor is included with the conventional PSO technique to accelerate the convergence property of the applied optimization tool. In this paper, the RPD problem is solved in the case of the two higher bus systems, i.e., the IEEE 57-bus system and the IEEE 118-bus system. Furthermore, the result of the present paper is compared with a few optimization technique based results to substantiate the effectiveness of the proposed study.
. Constriction factor based particle swarm optimization for analyzing tuned reactive power dispatch[J]. Frontiers in Energy, 0, (): 174-181.
Syamasree BISWAS(RAHA), Kamal Krishna MANDAL, Niladri CHAKRABORTY. Constriction factor based particle swarm optimization for analyzing tuned reactive power dispatch. Front Energ, 0, (): 174-181.
Minimized value obtained for the IEEE 57-bus system/MW
Minimized value obtained for the IEEE 118-bus system/MW
L-SACP-DE [19]
27.91553
141.79864
CGA [20]
25.24411
139.41498
SPSO-07 [21]
24.43043
139.27522
DE [2]
25.0475
128.318
AGA [20]
24.56484
124.20915
CLPSO [22]
24.51520
123.15216
L-SaDE [23]
24.26739
116.90569
Cf-PSO
20.2454
116.523
Tab.4
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