NDLI: Probabilistic method for the operation of three-phase unbalanced active distribution networks

Content Provider	IET Digital Library
Author	Mokryani, Geev Majumdar, Ankur Pal, Bikash C.
Abstract	This study proposes a probabilistic multi-objective optimisation method for the operation of three-phase distribution networks incorporating active network management (ANM) schemes including coordinated voltage control and adaptive power factor control. The proposed probabilistic method incorporates detailed modelling of three-phase distribution network components and considers different operational objectives. The method simultaneously minimises the total energy losses of the lines from the point of view of distribution network operators and maximises the energy generated by photovoltaic (PV) cells considering ANM schemes and network constraints. Uncertainties related to intermittent generation of PVs and load demands are modelled by probability density functions (PDFs). Monte Carlo simulation method is employed to use the generated PDFs. The problem is solved using ɛ-constraint approach and fuzzy satisfying method is used to select the best solution from the Pareto optimal set. The effectiveness of the proposed probabilistic method is demonstrated with IEEE 13- and 34-bus test feeders.
Starting Page	944
Ending Page	954
Page Count	11
ISSN	17521416
Volume Number	10
e-ISSN	17521424
Issue Number	Issue 7, Aug (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rpg/10/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2015.0334
Journal	IET Renewable Power Generation
Publisher Date	2016-08-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Active Network Active Network Management Scheme Adaptive Power Factor Control ANM Scheme Constraint Theory Control of Electric Power System Coordinated Voltage Control Distribution Network Fuzzy Satisfying Method IEEE 13-bus Test Feeder IEEE 34-bus Test Feeder Intermittent PV Generation Monte Carlo Method Monte Carlo Simulation Method Network Constraint Optimisation Optimisation Technique Pareto Optimal Set Pareto Optimisation PDF Photovoltaic Cell Power Factor Power System Economics Power System Managemen Power System Management Power System Operation Probabilistic Multiobjective Optimisation Method Probability Probability Density Function Three-phase Unbalanced Active Distribution Network Total Energy Loss Voltage Control Ε-constraint Approach
Content Type	Text
Resource Type	Article
Subject	Renewable Energy, Sustainability and the Environment

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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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