Multi-objective reactive power and voltage optimization for distribution network

This paper presents a multi-objective reactive power and voltage optimization model for distribution network under multi-type distributed generations (DGs). In the model, besides the load constrains and operational constraints, the objectives of active power loss and voltage deviation are taken into consideration. The multiple preys based evolutionary predator and prey strategy (MPEPPS) is proposed to solve the multi-objective optimization model to find Pareto solutions. Then the technique for order preference by similarity ideal solution method is used for decision making to obtain the final solution. The proposed approach is tested exhaustively on a modified IEEE 33 bus system. Simulation results show that the proposed methodology is well applicable to deal with distribution network scheduling in the presence of multi-type DGs by providing more convergent and better diversified Pareto solutions, compared with group search optimizer with multiple producers (GSOMP).