PROJECT TITLE :

Artificial Immune Systems Optimization Approach for Multiobjective Distribution System Reconfiguration

ABSTRACT:

So as to optimize their assets, electrical power distribution companies request out varied techniques to boost system operation and its different variables, like voltage levels, active power losses and so on. A few of the tools applied to satisfy these objectives embody reactive power compensation, use of voltage regulators, and network reconfiguration. One target most firms aim at is power loss minimization; one out there tool to try to to this is distribution system reconfiguration. To reconfigure a network in radial power distribution systems means that to alter the topology changing the state of a collection of switches normally closed (NC) and normally opened (NO). In restructured electrical power business, a company should also contemplate obtaining a topology as reliable as attainable. In most cases, reducing the ability losses is not any guarantee of improved reliability. This paper presents a multiobjective algorithm to scale back power losses whereas improving the reliability index using the synthetic immune systems technique applying graph theory considerations to boost computational performance and Pareto dominance rules. The proposed algorithm is tested on a sample system, fourteen-bus take a look at system, and on Administración Nacional de Electricidad (ANDE) real feeder (CBO-01 twenty three-kV feeder).


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