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Reliability evaluation of distribution systems with mobile energy storage systems

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TLDR
In this paper, a set of methodologies to assess the reliability of power distribution network with the penetrations of battery energy storage system (BESS) and intermittent distribution sources is proposed. And the model of MBESS is developed based on the real operation data.
Abstract
The development of battery energy storage system (BESS) facilitates the integration of renewable energy sources in the distribution system. Both distribution generation and mobile BESS (MBESS) can enhance the reliability of the distribution system. MBESS can facilitate the island operation of microgrids. This study proposes a set of methodologies to assess the reliability of power distribution network with the penetrations of MBESS and intermittent distribution sources. First, an analytic approach based on Markov models is applied for assessing the reliability analysis of the MBESS in distribution system. Then the method is verified by Monte Carlo simulation method and extended to a more complex distribution system. The model of MBESS is developed based on the real operation data. Case study on the IEEE test system has successfully verified the effectiveness of the proposed approach.

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Citations
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Overview of energy storage systems in distribution networks: Placement, sizing, operation, and power quality

TL;DR: This study identifies future research opportunities in relation to challenges for optimal ESS placement planning, development and implementation issues, optimisation techniques, social impacts, and energy security.
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Routing and Scheduling of Mobile Power Sources for Distribution System Resilience Enhancement

TL;DR: A novel mixed-integer programming model that resolves different timescales of MPS dispatch and DS operation, coupling of road and power networks, etc., is formulated to optimize dynamic dispatch of M PSs.
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Resilient Disaster Recovery Logistics of Distribution Systems: Co-Optimize Service Restoration With Repair Crew and Mobile Power Source Dispatch

TL;DR: In this article, a resilient scheme for disaster recovery logistics to co-optimize DS restoration with the dispatch of repair crews (RCs) and mobile power sources (MPSs) is proposed.
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Networked Microgrids: State-of-the-Art and Future Perspectives

TL;DR: A comprehensive literature review of the most important research works on networked MGs has been presented and major benefits and challenges related to this new and highly exploring area have been analyzed.
Journal ArticleDOI

Resilient Disaster Recovery Logistics of Distribution Systems: Co-Optimize Service Restoration with Repair Crew and Mobile Power Source Dispatch

TL;DR: A novel co-optimization model is formulated to route RCs and MPSs in the transportation network, schedule them in the DS, and reconfigure the DS for microgrid formation coordinately and model topology constraints based on the concept of spanning forest.
References
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Journal ArticleDOI

A reliability test system for educational purposes-basic distribution system data and results

TL;DR: In this paper, a description of an electrical distribution system for use in teaching power system reliability evaluation is presented, which is sufficiently small that students can analyze it using hand calculations and hence fully understand reliability models and evaluations techniques.
Journal ArticleDOI

Smart Transmission Grid: Vision and Framework

TL;DR: A unique vision for the future of smart transmission grids is presented in which their major features are identified and each smart transmission grid is regarded as an integrated system that functionally consists of three interactive, smart components.
Journal ArticleDOI

Teaching distribution system reliability evaluation using Monte Carlo simulation

TL;DR: This paper presents a time sequential Monte Carlo simulation technique which can be used in complex distribution system evaluation, and describes a computer program developed to implement this technique.
Journal ArticleDOI

Next-Generation Monitoring, Analysis, and Control for the Future Smart Control Center

TL;DR: This paper proposes a vision of next-generation monitoring, analysis, and control functions for tomorrow's smart power system control centers and identifies the technology and infrastructure gaps that must be filled, and develops a roadmap to realize the proposed vision.
Journal ArticleDOI

Reliability evaluation of generating systems containing wind power and energy storage

TL;DR: In this paper, a simulation technique that can consider wind farm and energy storage operating strategies is presented, and the system impacts of energy storage capacity and operating constraints, wind energy dispatch restrictions, wind penetration level and wind farm location on the reliability benefits from energy storage are illustrated.
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