Optimal sitting and sizing of DGs in distribution system considering time sequence characteristics of loads and DGs

• Multi-objective optimization in DG planning.
• Time sequence characteristics of loads and DGs.
• Wind turbine generation and Photovoltaic combination.
• Improved Non-dominated Sorting Genetic Algorithm II.

With the consideration of time sequence characteristics of load and distributed generator (DG) output, a novel method is presented for optimal sitting and sizing of DG in distributed system. Multi-objective functions have been formulated with the consideration of minimum investment and operational cost of DG, minimum purchasing electricity cost from main grid and minimum voltage deviation. To solve the multi-objective optimization problem, an improved Non-dominated Sorting Genetic Algorithm II has been proposed. The compromised solution is extracted from the Pareto set using the fuzzy theory method. Several experiments have been made on the modified PG&E 69-bus and multiple actual test cases with the consideration of multiple DGs. The computational result and comparisons indicate the proposed method for optimal placement and sizing of DG is feasible and effective.