Switched capacitor bank installation in practical transmission system using modified cultural algorithm

2014 Annual IEEE India Conference (INDICON)

2014

The root and shoot (greenish area) in plant coordinate with each other to grow faster. It does that in an optimized way through ascent of sap, transpiration pull, pressure built up between shoot and root and conduction of solute. With that the number of leaf increases to have more sunlight. On the other hand root ramificates and extends by breaking and crushing the material underneath the earth crust to grow in width and length for finding adequate source of water. This physiological process based nature inspired meta-heuristic technique named Root Shoot Coordination Optimization (RSCO) has been applied on economic load dispatch problem. It has been observed that RSCO performs well in comparison to Real Coded Genetic Algorithm, Accelerated Particle Swarm Optimization and Particle Swarm Optimization for economic load dispatch problem.

Section: Introductionmentioning

confidence: 99%

Root Shoot Coordination Optimization (RSCO) for economic load dispatch

2014 Annual IEEE India Conference (INDICON)

2014

“…But conventional CA (Chung and Reynolds, 1996;Jin and Reynolds, 1999;Ochoa et al, 2007;Reynolds, 1994;Reynolds andPeng, 2004, 2006;Yuan and Yuan, 2006) sometimes fails to give optimal result for complex combinatorial optimisation problem. The soft computing method of conventional CA has been modified and applied for switched capacitor installation in practical transmission system where promising results are achieved (Haldar and Chakraborty, 2011).…”

Section: Introductionmentioning

confidence: 99%

Minimisation of power loss by network reconfiguration and capacitor installation using modified cultural algorithm

2014

IJSI

The transmission and distribution loss is an unwanted phenomenon which can be reduced by installing capacitor locally at the buses or by reconfiguring the network. A new heuristic soft computing method called the modified cultural algorithm is applied to both the network reconfiguration and as well as to the capacitor allocation in order to reduce the real power loss. Standard IEEE 16 bus distribution network and a practical transmission network are taken for verifying the applicability of this method by introducing the concept of cost minimisation of the system. An associated cost has been observed to be reduced from US$ 1648970.4 to US$ 674654.00 in the transmission network after considering the above modification. The cost for distribution system has also been reduced from US$ 85848.00 to US$ 76546.26 with the installation of the capacitor and reconfiguring the network. The modified cultural algorithm has outperformed particle swarm optimisation (PSO) and real coded genetic algorithm (rcGA) for real power loss and cost minimisation in 16 bus radial distribution system.

“…But it was observed that CA suffers from local optimum for discrete combinatorial optimization problem such as capacitor allocation in bigger distribution system . The technique had been modified and applied for switched capacitor bank installation in practical transmission system in Indian subcontinent where encouraging results were achieved . Space inadequacy issue had been considered for older transmission substations in the aforementioned work .…”

Section: Introductionmentioning

confidence: 99%

“…The technique had been modified and applied for switched capacitor bank installation in practical transmission system in Indian subcontinent where encouraging results were achieved . Space inadequacy issue had been considered for older transmission substations in the aforementioned work . Works accounting to both network reconfiguration and capacitor allocation for minimizing real power loss in transmission as well as distribution systems has also been performed .…”

Section: Introductionmentioning

confidence: 99%

Power loss minimization by optimal capacitor placement in radial distribution system using modified cultural algorithm

Int. Trans. Electr. Energ. Syst.

2013

Summary A new evolutionary technique named modified cultural algorithm (MCA) has been implemented for the reduction of real power loss by optimal capacitor allocation. This evolutionary algorithm has provided promising results for 9‐bus, 34‐bus, and 69‐bus standard distribution systems dealing with the real power loss. It has been observed that situation and history knowledge influence the population space with the updating of belief space. Comparative study has been done to establish the effectiveness of MCA with other methods such as cultural algorithm, heuristic, fuzzy‐logic, and hybrid methods. The real power loss has been observed to be reduced from 783.8 to 677.54 kW and from 221.5 to 160.9 kW for 9‐bus and 34‐bus distribution systems, respectively. It is also shown that MCA has outperformed cultural algorithm as well as real‐coded genetic algorithm and particle swarm optimization for loss as well as cost reduction in 69‐bus distribution system. Copyright © 2013 John Wiley & Sons, Ltd.