Evaluation of maximum allowable capacity of distributed generations connected to a distribution grid by dual genetic algorithm

This paper proposes a dual genetic algorithm based approach to evaluate the maximum allowable capacity of distributed generations (DGs) connected to a distribution grid. The uncertainties in the existing deterministic approaches for evaluating the steady-state voltage deviation due to distributed generation are discussed as well. Nowadays, deterministic approaches are widely adopted by those who propose the interconnection of DGs. However, the existing deterministic approaches overlook some operation conditions that may give rise to an incorrect result and lead to a wrong decision in practical applications. In this paper, various factors affecting steady-state voltage deviation are discussed first. Then, a maximum allowable DG capacity evaluation approach based on the dual genetic algorithm is proposed. Finally, the uncertainties of the existing deterministic approaches are discussed. It is intended as reference for utility engineers processing DG interconnection applications.

► The proposed DGA is used to evaluate the maximum allowable capacity of DGs connected to a distribution grid.
► The DGA is designed to improve the efficiency of the current initial review process.
► The DGA can be subdivided into two GAs.
► The DGA can consider the all uncertainties in the actual network configurations and load states.
► The uncertainties of the existing deterministic approaches are discussed.