This paper proposes a fast restoration strategy of distribution systems using an enhanced differential
evolution (EDE) approach. Service restoration of distribution systems is an emergent task
that must be performed rapidly by the system operators. Basically, it is a complicated combinatorial
optimization problem, often having many candidate solutions to be evaluated by the operators.
To improve the efficiency of restoration and reduce the burden on the operators, this paper proposes
an EDE method combining variable scaling differential evolution (VSDE) algorithm and ant
system (AS) to solve the combinatorial optimization problem. To verify the effectiveness of the
proposed method, a typical distribution system of the Taiwan Power Company (TPC) was tested
and compared with the existing methods. The results show the proposed method was superior to
the existing methods in terms of convergence time and the obtained restoration plan.
International Journal of Emerging Electric Power Systems Volume 11, Issue 3