This paper presents a new method to solve the network

reconfiguration problem in the presence of distributed generation

(DG) with an objective of minimizing real power loss and

improving voltage profile in distribution system. A meta heuristic

Harmony Search Algorithm (HSA) is used to simultaneously reconfigure

and identify the optimal locations for installation of DG

units in a distribution network. Sensitivity analysis is used to identify

optimal locations for installation of DG units. Different scenarios

of DG placement and reconfiguration of network are considered

to study the performance of the proposed method. The

constraints of voltage and branch current carrying capacity are

included in the uation of the objective function. The method

has been tested on 33-bus and 69-bus radial distribution systems

at three different load levels to demonstrate the performance and

effectiveness of the proposed method. The results obtained are encouraging.-This paper presents a new method to solve the network

reconfiguration problem in the presence of distributed generation

(DG) with an objective of minimizing real power loss and

improving voltage profile in distribution system. A meta heuristic

Harmony Search Algorithm (HSA) is used to simultaneously reconfigure

and identify the optimal locations for installation of DG

units in a distribution network. Sensitivity analysis is used to identify

optimal locations for installation of DG units. Different scenarios

of DG placement and reconfiguration of network are considered

to study the performance of the proposed method. The

constraints of voltage and branch current carrying capacity are

included in the　uation of the objective function. The method

has been tested on 33-bus and 69-bus radial distribution systems

at three different load levels to demonstrate the performance and

effectiveness of the proposed method. The results obtained are encouraging.