Keywords: differential evaluation algorithm, DEA, distributed generation, radial distribution, optimal allocation, energy conversion, DG capacitors, shunt capacitors, India, line losses, bus voltage limits, power loss, distribution networks, remote loads, power generation
Optimal allocation and sizing of DG and shunt capacitors using differential evolutionary algorithm
In the last few years, a number of factors have led to an increased interest in distributed generation (DG) scheme because placement of DG is the most effective method in reducing the power loss of the distribution networks to serve remote loads. Placement of shunt capacitors improves voltage profile but unable to serve remote load as it can provide only reactive power. So, combination of both gives productive solution. In this paper, differential evaluation algorithm (DEA) is utilised to find optimal location and sizes of both DGs and shunt capacitors in radial distribution systems with an objective of minimising line losses subjected to bus voltage limits. The performance of the proposed algorithm is implemented on Indian Electricity Board benchmark 25–bus distribution system.