NDLI: Probabilistic evaluation of available load supply capability of distribution networks as an index for wind turbines allocation

Content Provider	IET Digital Library
Author	Arabi, Alireza Ramezani, Maryam Falaghi, Hamid
Abstract	This study deals with placement of wind turbines in distribution networks for maximising the probabilistic index of load supply capability (LSC). To calculate this index, one of the most accurate and efficient probabilistic simulation methods known as Latin hypercube sampling is used. Variations of load and output power of wind turbines are considered in the probabilistic evaluation of LSC. Moreover, the constraints of maximum voltage drop and current carrying capacity of conductors are considered as the limiting factors of the network LSC. Since there is a correlation between the network load and the output power of wind turbines, considering this correlation in simulations will push the results closer to reality. Therefore, the Cholesky decomposition approach is used to take into account the correlation between the input variables of the problem. Casestudiesare carried out on the 33-bus IEEE distribution network. The results of case studies demonstrate the effectiveness of the proposed methodology.
Starting Page	1631
Ending Page	1637
Page Count	7
ISSN	17521416
Volume Number	10
e-ISSN	17521424
Issue Number	Issue 10, Nov (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rpg/10/10
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2015.0350
Journal	IET Renewable Power Generation
Publisher Date	2016-07-21
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	33-bus IEEE Distribution Network Available Load Supply Capability Probabilistic Evaluation Cholesky Decomposition Approach Conductor Current Carrying Capacity Conductors (electric) Distributed Power Generation Distribution Network Latin Hypercube Sampling LSC Probabilistic Index Probabilistic Simulation Method Probability Sampling Method Statistics Voltage Drop Constraint Wind Power Plant Wind Turbine Wind Turbine Allocation
Content Type	Text
Resource Type	Article
Subject	Renewable Energy, Sustainability and the Environment

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