Distribution Network Optimisation Through Fusion Technology

Srinivasan, T.; Nirmalkumar, A.; Sathiskumar, M.

doi:10.1080/1448837x.2010.11464266

Cited by 2 publications

(1 citation statement)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Even though, the above method gained encouraging results, the loop sequence for optimization has been not clearly shown and they have sequenced the loop randomly for optimization. In paper [14], the algorithm uses neural network which needs to be trained for large distribution system. In [15] and [16], evolutionary programming is employed for optimizing distribution network.…”

Section: Introductionmentioning

confidence: 99%

Distribution System Loss Reduction through Hybrid Heuristic Technique

Wiselin¹,

S²

2012

IJCA

View full text Add to dashboard Cite

This paper proposes a hybrid technology to solve the distribution system reconfiguration problem. The technology with the mixture of Plant Growth Simulation Algorithm (PGSA), Greedy and heuristic based fuzzy operation has been proposed. The optimization approach based on PGSA provides detailed description on switch states for calculation. The inclusion of Greedy with PGSA improves the efficiency of optimization by identifying the best loop sequence. Furthermore, the heuristic fuzzy has been introduced with PGSA and Greedy for handling constraints amid optimization. With the use of proposed algorithm, the system loss has been reduced convincingly without compromising the power flow constraints. The effectiveness of the proposed approach is demonstrated by employing the feeder switching operation scheme to IEEE 33 bus distribution system and 83 bus Distribution system of Taiwan Power Company.

show abstract

Section: Introductionmentioning

confidence: 99%