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Wind Generator Allocation in Distribution Systems Considering Uncertainty In Generation And Time Varying Load Profile


Volume 1 Issue 1 December - February 2013
Research Paper
Wind Generator Allocation in Distribution Systems Considering Uncertainty In Generation And Time Varying Load Profile
K. Ravindra*, R. Srinivasa Rao**, SVL Narasimham***
* Assistant Professor, Electrical Engineering Department, Jawaharlal Nehru Technological University, Kakinada, India.
** Associate Professor, Electrical Engineering Department, Jawaharlal Nehru Technological University, Kakinada, India.
*** Professor of Computer Science and Engineering, School of IT, Jawaharlal Nehru Technological University, Hyderabad, India.
K. Ravindra, R. Srinivasa Rao and SVL Narasimham (2013). Wind Generator Allocation In Distribution Systems Considering Uncertainty In Generation And Time Varying Load Profile. i-manager’s Journal on Circuits and Systems, 1(1), 1-9. https://doi.org/10.26634/jcir.1.1.2193
Abstract
In this paper, a simultaneous approach to choose optimal number of wind based Distributed Generation (DG) units and their locations is proposed with an objective of minimizing annual energy loss in a distribution network. Most of the methods developed so far for optimal allocation of DG units assumed constant DG output and network load profile which is unreal. Optimal DG sizes and locations found with above assumptions would not lead to minimum annual energy loss when employed in realistic scenario where there is uncertainty in the DG output power generation and network loads have a time-varying load profile. In this work, wind based generation units are considered as the DG sources for allocation. In order to gauge the effect of uncertainty in wind power generation and time-varying load profile on optimal DG allocation problem, a meta-heuristic method which employs Harmony Search algorithm is used to solve multiple wind based DG units. Performance and effectiveness of the proposed method is demonstrated by carrying out simulations on 33-bus and 69-bus radial distribution systems. Simulation results indicate that consideration of uncertainty in wind power generation and time varying load profile significantly affects location and size of DG resources in distribution systems.

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