Optimal Capacity and Placement of Distributed Generation using Sequential Quadratic Programming
Keywords:
Optimal Location, Distributed Generation (DG), Sequential Quadratic Programming method (SQP), Voltage profile enhancement.Abstract
The growing need for electrical energy is making distributed generation (DG) more significant. Reducing distribution system loss is one of the main goals of distributed generation planning. The ideal placement and scale of distributed generation (DG) are crucial for minimizing losses. This work uses an optimization problem to study the optimal DG placement and sizing, with the objective as reduction of active power losses. These issues are expressed using the Sequential Quadratic Programming (SQP) approach as constrained linear optimization problems. In order to solve the optimal position and sizing problem of distributed generators, the proposed method is extensively proven on IEEE-15 bus and IEEE-33 bus radial distribution systems. Simulation results using the DG demonstrate satisfactory improvements in terms of power loss reduction and voltage profile enhancement.
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