NDLI: Convex probabilistic allocation of wind generation in smart distribution networks

Content Provider	IET Digital Library
Author	Akbari, Mohammad Amin Aghaei, Jamshid Barani, Mostafa
Abstract	This study introduces a probabilistic optimisation model for allocation of renewable distributed generations (DGs) in radial distribution networks. The methodology is based on a probabilistic generation – load model that combines all possible operating conditions of the wind-based DG units as well as load levels with their probabilities. A multiobjective performance index is extracted that is formulated as a combination of two indices, namely energy losses reduction and voltage improvement. Besides, a probabilistic AC optimal power flow is used to determine the optimal allocation of wind DG and maximise the multiobjective performance index. Two alternative control approaches of the future smart grids, i.e. area based under load tap changer control and adaptive power factor control, are assessed to maximise potential benefits and expand the penetration level of DGs. At first, this problem is formulated as a mixed-integer non-linear programming (MINLP) which leads to a computationally NP-hard problem. Accordingly, the obtained MINLP problem is relaxed and reformulated in the form of a well-suited second-order cone programming problem which is computationally efficient scheme to be solved. The implementation of the proposed framework on 4-bus and IEEE 33-bus radial distribution systems shows the performance of the proposed optimisation mechanism.
Starting Page	1211
Ending Page	1218
Page Count	8
ISSN	17521416
Volume Number	11
e-ISSN	17521424
Issue Number	Issue 9, Jul (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rpg/11/9
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2017.0100
Journal	IET Renewable Power Generation
Publisher Date	2017-05-30
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Power Factor Control Computational Complexity Computationally NP-hard Problem Control of Electric Power System Convex Probabilistic Allocation Distributed Power Generation Distribution Network Energy Loss Reduction IEEE 33-bus Radial Distribution System IEEE 4-bus Radial Distribution System Integer Programming Load Flow Load Tap Changer Control MINLP Mixed-integer Nonlinear Programming Multiobjective Performance Index Nonlinear Programming On Load Tap Changers Optimal Allocation Optimisation Optimisation Technique Power Factor Power System Control Power System Economics Power System Managemen Power System Operation Probabilistic AC Optimal Power Flow Probabilistic Generation Probabilistic Optimisation Model Radial Distribution Network Renewable Distributed Generation Allocation Second-order Cone Programming Problem Smart Distribution Network Smart Grid Smart Power Grid Transformer And Reactors Voltage Improvement Wind Generation Wind Power Wind Power Plant Wind-based DG Units
Content Type	Text
Resource Type	Article
Subject	Renewable Energy, Sustainability and the Environment

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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