Abstract:
The electric Distribution System is subject to many
disturbance which results power outage and material damage,
and also due to its network topology power delivery to the
customer is accompanied with the cost of power loss. Whenever
reliability, power loss and resilience is an issue the distribution
system must be designed to self healing. The power coming from
the transmission line can be effectively distributed by managing
automatically it’s network configuration. This paper explores
effective loss minimization for efficient smart electrical
distribution power flow. The load on the distribution system
is a continuously changing entity and hence a configuration
which corresponds to a minimum loss at a particular load will
not be so at a different load. Feeder reconfiguration is one of
the techniques for loss minimization in a nonlinear network
optimization problem which restructures the distribution
feeders by changing the open/closed status of the sectionalizing
and tie switches. and the solution for the problem involves a
search over the possible configurations with multiple
constraints. Binary particle swarm optimization method was
applied to find the possible switching-options for loss reduction.
Since distribution system is radial configuration backward
forward load flow analysis is used. The algorithm is
computationally efficient and determines the switching option
that gives the maximum loss reduction in the system. For testing
the effeteness of the method standard IEEE 33 bus system is
used. The proposed algorithm is coded in MATLAB and power
world simulator, to check the result obtained by MATLAB. The
optimal configuration result shows that large amount of power
loss was reduced from the initial configuration.
