Sizing of Movable Energy Resources for Service Restoration and Reliability Enhancement

  title={Sizing of Movable Energy Resources for Service Restoration and Reliability Enhancement},
  author={Narayan Bhusal and Mukesh Gautam and Mohammed Benidris},
  journal={2020 IEEE Power \& Energy Society General Meeting (PESGM)},
The frequency of extreme events (e.g., hurricanes, earthquakes, and floods) and man-made attacks (cyber and physical attacks) has increased dramatically in recent years. These events have severely impacted power systems ranging from long outage times to major equipment (e.g., substations, transmission lines, power plants, and distribution system) destruction. Distribution system failures and outages are major contributors to power supply interruptions. Network reconfiguration and movable energy… 

Figures and Tables from this paper

Modeling of Natural Disasters and Extreme Events for Power System Resilience Enhancement and Evaluation Methods

This paper provides a comprehensive and critical review of current practices in modeling of extreme events, system components, and system response for resilience evaluation and enhancement, which is an important stepping stone toward the development of complete, accurate, and computationally attractive modeling techniques.

Pre-positioning of Movable Energy Resources for Distribution System Resilience Enhancement

This paper proposes an approach based on graph theory and coalitional game theory for pre-positioning of movable energy resources (MERs) to improve the resilience of the electric power supply. By

A Spanning Tree-based Genetic Algorithm for Distribution Network Reconfiguration

This paper presents a spanning tree-based genetic algorithm (GA) for the reconfiguration of electrical distribution systems with the objective of minimizing active power losses and shows that the proposed method is accurate and efficient in comparison with existing methods.

Application of Mobile Energy Storage for Enhancing Power Grid Resilience: A Review

Natural disasters can lead to large-scale power outages, affecting critical infrastructure and causing social and economic damages. These events are exacerbated by climate change, which increases

Microgrids and Resilience: A Review

The occurrence of large-scale disturbances is increasing at an alarming rate throughout the world. As a consequence of this trend, a primary concern of today’s power system is to enhance its

A Sensitivity-based Approach for Optimal Siting of Distributed Energy Resources

The proposed method detects the ranges of effectiveness of Lagrange multipliers and uses them to determine optimal solution alternatives and provides more accurate results for active constraints than conventional sensitivity-based approaches.

Optimal Sizing and Siting of Multi-purpose Utility-scale Shared Energy Storage Systems

A nondominated sorting genetic algorithm II (NSGA-II) based approach to determine optimal or near-optimal sizing and siting of multi-purpose, community-based, utility-scale shared energy storage in distribution systems with high penetration of solar photovoltaic energy systems.



Distribution System Restoration With Microgrids Using Spanning Tree Search

Distribution system restoration (DSR) is aimed at restoring loads after a fault by altering the topological structure of the distribution network while meeting electrical and operational constraints.

Rolling Optimization of Mobile Energy Storage Fleets for Resilient Service Restoration

A rolling integrated service restoration strategy to minimize the total system cost by coordinating the scheduling of MESS fleets, resource dispatching of microgrids, and network reconfiguration of distribution systems is proposed.

Resilience-Oriented Distribution System Restoration Considering Mobile Emergency Resource Dispatch in Transportation System

A framework to determine critical load restoration strategy for the DS, considering the dispatch strategy of the MPSs and RCs in the TS is proposed and unbalanced three-phase power flow and time-varying topological constraints are considered.

Enhancing Distribution System Resilience With Mobile Energy Storage and Microgrids

A two-stage optimization model is proposed that optimizes investments in mobile ES units in the first stage and can re-route the installed units to form dynamic microgrids (MGs) and to avoid the expected load shedding caused by disasters.

Transportable Energy Storage for More Resilient Distribution Systems With Multiple Microgrids

A joint post-disaster restoration scheme for TESS and generation scheduling in microgrids and network reconfigurations is proposed to minimize the total system cost, including customer interruption cost, generation cost, and TESS related costs.

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

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.

Mobile Emergency Generator Pre-Positioning and Real-Time Allocation for Resilient Response to Natural Disasters

This paper proposes dispatching MEGs as distributed generators in DSs to restore critical loads by forming multiple microgrids (MGs) by utilizing a scenario-based two-stage stochastic optimization problem and a scenario decomposition algorithm.

Reliability improvement of power distribution system through feeder reconfiguration

This paper describes a method for reliability improvement of power distribution system via feeder reconfiguration. The work presented here is developed based on a linearized network model in the form

Optimal Distribution Feeder Reconfiguration for Reliability Improvement Considering Uncertainty

This paper proposes a new method to improve the reliability of the distribution system using the reconfiguration strategy. In this regard, a new cost function is defined to include the cost of active

Real power loss minimisation of smart grid with electric vehicles using distribution feeder reconfiguration

This study proposes a two-stage optimisation to investigate the impact on the distribution system in terms of losses and voltage when distribution feeder reconfiguration (DFR) is employed with different scheduling strategies of EVs.