Minimization of power losses and improve voltage profile in distribution network by considering massive solar distributed generation

Abstract

In developing country, electricity become the basic need of the growth industries, thus the power quality and reliability of the distribution network are very crucial. Adding with the low carbon initiatives, renewable energy or distributed generation (DGs) is a part of favourable source of generating electricity, lead the complex distribution network. Significant rises DGs in power grids will give high impact the system reliability and security in term of power losses and voltage profile. This research is focusing on an optimization capacity and location of integration of DGs in distribution systems to minimize power loss and improve voltage profile using Modified Lightning Search Algorithm (MLSA). This research has been conducted on modelled the real radial IEEE 69-bus of real radial distribution network in two conditions. Which first condition, study is done with the current load profile and second condition with the load growth by referring state load growth. Then MLSA with weight summation approach is used to identify the suitable location and size for the DGs in the design proposal stage. The optimization objectives are to reduce power losses and improve the voltage profile especially at the connection point of DGs. All power system load profile, DGs constant load and load growth pattern, the effect of integration massive solar in distribution network will be modelled using MATLAB software. The results of the simulation by using MLSA, indicated that the optimization allocation and sizes of massive solar DGs applied with current load and load changes can minimize the power losses as well as improve voltage profile. These results verify the effectiveness and successful of the proposed approach to determine the optimal location and sizing of massive solar DGs to reduce power losses and improve voltage profile.