NDLI: Load service restoration in active distribution network based on stochastic approach

Content Provider	IET Digital Library
Author	Riahinia, Shahin Abbaspour, Ali Aghtaie, Moein Moeini Khalili, Sajjad
Abstract	A new stochastic framework is proposed for distribution system restoration (DSR) problem. In this framework, dynamic programming (DP) is used to solve DSR problem for a distribution system that accommodates various technologies of distributed generation units and storage systems. Time and sequence of distribution feeders which should be energised after a blackout are chosen as stages of DP algorithm. In addition, uncertainties associated with the power received from transmission network in the period of system restoration are modelled as some probabilistic scenarios. The complexity of attained optimisation problem is reduced using some state reduction techniques. These techniques enable DP algorithm to reach near-optimal solution as well as computationally efficient calculation procedure. The proposed restoration framework is applied on a real-world test system and the results prove its effectiveness and practicality.
Starting Page	3028
Ending Page	3036
Page Count	9
ISSN	17518687
Volume Number	12
e-ISSN	17518695
Issue Number	Issue 12, Jul (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/12/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2017.0684
Journal	IET Generation, Transmission & Distribution
Publisher Date	2018-03-08
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Active Distribution Network Distributed Generation Unit Distributed Power Generation Distribution Feeder Distribution Network Distribution System Restoration Problem DSR Problem Dynamic Programming Load Service Restoration Optimisation Problem Optimisation Technique Power Distribution Reliability Power Generation Reliability Power System Economics Power System Managemen Power System Operation Power System Restoration Power Transmission Reliability Probabilistic Scenario Probability Reliability State Reduction Technique Statistics Stochastic Approach Stochastic Linearised SCUC Storage System Transmission Network
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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