Abstract
This paper presents a binary gravitational search algorithm (BGSA) is applied to solve the problem of optimal allotment of DG sets and Shunt capacitors in radial distribution systems. The problem is formulated as a nonlinear constrained single-objective optimization problem where the total line loss (TLL) and the total voltage deviations (TVD) are to be minimized separately by incorporating optimal placement of DG units and shunt capacitors with constraints which include limits on voltage, sizes of installed capacitors and DG. This BGSA is applied on the balanced IEEE 10 Bus distribution network and the results are compared with conventional binary particle swarm optimization.
Highlights
Distribution systems are usually radial in nature for operational simplicity
This paper presents a binary gravitational search algorithm (BGSA) is applied to solve the problem of optimal allotment of DG sets and Shunt capacitors in radial distribution systems
Very few papers [1,2,3,4,5] use the optimization of voltage profile as objective functions the integration of DG and shunt capacitor placement certain heuristic methods [1,2,3,4,5] have been reported in the literature for obtaining promising results
Summary
Distribution systems are usually radial in nature for operational simplicity. The Radial Distribution Systems (RDS) are fed at only one point, which is the substation. The sizing and sitting of DG units and shunt capacitors in distribution systems is a very complex combinational optimization problem. This optimization problem involves integer and binary decision variables and nonlinear, non-continuous, non-differential objective functions and constraints. Very few papers [1,2,3,4,5] use the optimization of voltage profile as objective functions the integration of DG and shunt capacitor placement certain heuristic methods [1,2,3,4,5] have been reported in the literature for obtaining promising results. A binary version of GSA (BGSA) [15] is utilized to decide the optimal locations of DGs and shunt capacitors to obtain an overall better voltage profile for a radial distribution system. The locations of DGs and capacitors are formulated by binary variables as decision variables in the constraints
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
