Modified Differential Evolution Algorithm for solving a New Multiobjective Model in allocation of Capacitor Banks and Distributed Generations

This paper has developed a new multiobjective model for allocation of optimal sizing and sitting of Distributed Generation (DG) units and capacitor banks in simultaneous mode to improve reliability and reduce energy losses. The proposed method consists of four objectives i.e. Cost of Energy Not Supplied (CENS), System Average Interruption Duration Index (SAIDI), costs of energy loss and investment. A novel structure differential evolution called Modified Differential Evolutionary Algorithm (MDEA) has been proposed to solve this nonlinear complex problem andits results compared with related values of Genetic Algorithm (GA) and standard Differential Evolutionary Algorithm (DEA). In addition to the novel objective function, the other contribution of this paper is proposing a new model for load and energy cost. Three types of DGs, i.e., wind turbine, solar cell and diesel generator have been employed in placement process. To verify the comprehensiveness of the proposed function, three scenarios have been introduced: Scenario i) First, placement of DGs, then capacitor banks, Scenario ii) First, placement of capacitor banks, andthen DGs, and Scenario iii) simultaneous placement of DGs and capacitor banks. Simulations have been carried out on one part of practical distribution network in Metropolitan Tabriz in North West of Iran. The results of simulations have been discussed and analyzed by using of the five novel indices. The obtained simulation results using proposed function shows that the simultaneous placement of distributed generations and capacitor banks results in more reduction of the energy losses, and increase improvements of reliability indices as well as voltage profile.

کلیدواژه ها:

Capacitor banks placement ، Distributed generation placement ، investigated Differential evolutionary algorithm ، Reliability improvement ، and Practical radial distribution network