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Hybrid Optimization for Optimal Distributed Generation Unit Placement in Radial Distribution System
Author(s) -
Somashekar D.P*,
Shekhappa G. Ankaliki,
T Ananthapadmanabha,
Ramya N.S,
S. N.
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.c9036.019320
Subject(s) - minification , distributed generation , computer science , electric power system , power (physics) , electricity , electricity generation , mathematical optimization , reliability engineering , engineering , electrical engineering , renewable energy , physics , mathematics , quantum mechanics , programming language
In recent years, the demand for electric power is growing at a faster rate. This makes present time power system into a more composite one in structure and in terms of placing utility elements, operation, maintenance and control of power system to deliver the electric power to customers. To satisfy the demand for electricity is necessitate more generating units nearer to customer points and need of proper operational planning. The power loss is a major concern towards distribution system performance. Hence, minimization of losses in the system is a major consideration. The distributed generation plays significant role in satisfying the need for electricity demand and also helps in minimization of system losses by adopting intelligent algorithm technique. Among all its advantages, power losses, voltage enhancement and cost benefits are the prime areas of study in distributed generation units. So, placing and allocation of distributed generation acquire more attention towards distribution system. In this paper, an intelligent hybrid optimization technique is proposed for optimal distributed generating unit for minimizing the losses in radial distribution system. The proposed optimization technique is implemented for IEEE 33-bus system radial distribution system. The obtained simulated results provide the good applicability and enhancement in execution of the proposed hybrid method.

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