A three-dimensional group search optimization approach for simultaneous planning of distributed generation units and distribution network reconfiguration

This paper deals with the simultaneous distributed generation (DG) planning and distribution network reconfiguration (SDGNR) issue. The problem is formulized as an optimization model which includes three types of variables, i.e. DGs location as the integer variables, DGs operating point as the continuous ones and switches open\close state as the binary variables. A new approach entitled three-dimensional group search optimization (3D-GSO) method is also introduced to cope with such a problem. The proposed method is a general optimization scheme applicable to all types of optimization problems which deal with an integer, continuous, and binary variables at the same time. The revised approach is successfully applied to the SDGNR problem with the objective of total loss reduction in power distribution systems. Power flow criteria, as well as operation constraints, are all together accommodated in the process of optimization. Five different scenarios at three load levels are also considered to cover all possible conditions. The validity of the proposed 3D-GSO approach in handling SDGNR problem is assured through comprehensive simulation studies on 33-bus and 69-bus test systems. •GSO-based algorithm for integer space is introduced.•3D-GSO algorithm is proposed and successfully applied to the SDGNR problem.•Results of 3D-GSO approach compared with recently proposed algorithms.•A Fuzzy logic-based approach is used for simultaneous searching at diverse spaces.