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Title: Utilising demand response for distribution service restoration to achieve grid resiliency against natural disasters

Journal Article · · IET Generation, Transmission, & Distribution
 [1];  [2];  [2];  [1];  [1]
  1. North Carolina State Univ., Raleigh, NC (United States)
  2. Argonne National Lab. (ANL), Argonne, IL (United States)

The increased frequency of power outages due to natural disasters in recent years has highlighted the urgency of enhancing distribution grid resilience. The effective distribution service restoration (DSR) is an important measure for a resilient distribution grid. In this work, the authors demonstrate that DSR can be significantly improved by leveraging the flexibility provided by the inclusion of demand response (DR). The authors propose a framework for this by considering integrated control of household-level flexible appliances to vary the load demand at the distribution-grid level to improve DSR. The overall framework of the proposed system is modelled as a three-step method considering three optimization problems to (i) calculate feasible controllable aggregated load range for each bus, (ii) determine candidate buses to perform DR and their target load demand, and (iii) maintain the load level in each house through home energy management during the DSR, considering uncertainties in load and solar generation sequentially. The optimization problems are formulated as linear programming, mixed-integer linear programming, and multistage stochastic programming (solved using the stochastic dual dynamic programming) models. Finally, case studies performed in the IEEE 123-node test feeder show improvements in resilience in terms of energy restored compared to the restoration process without DR.

Research Organization:
Argonne National Laboratory (ANL), Argonne, IL (United States)
Sponsoring Organization:
USDOE Office of Electricity Delivery and Energy Reliability (OE), Advanced Grid Research and Development
Grant/Contract Number:
AC02-06CH11357
OSTI ID:
1560041
Alternate ID(s):
OSTI ID: 1786771
Journal Information:
IET Generation, Transmission, & Distribution, Journal Name: IET Generation, Transmission, & Distribution Journal Issue: 14 Vol. 13; ISSN 1751-8687
Publisher:
Institution of Engineering and TechnologyCopyright Statement
Country of Publication:
United States
Language:
English

References (28)

A Framework for Load Service Restoration Using Dynamic Change in Boundaries of Advanced Microgrids With Synchronous-Machine DGs journal July 2018
Reliability and risk assessment of post-contingency demand response in smart distribution networks journal September 2016
A Demand Response and Battery Storage Coordination Algorithm for Providing Microgrid Tie-Line Smoothing Services journal April 2014
Dynamic Energy Balancing Cost Model for Day Ahead Markets With Uncertain Wind Energy and Generation Contingency Under Demand Response journal September 2018
A Distributed Direct Load Control Approach for Large-Scale Residential Demand Response journal September 2014
Microgrids for Service Restoration to Critical Load in a Resilient Distribution System journal January 2018
From demand response to transactive energy: state of the art journal December 2016
Distributed optimal residential demand response considering operational constraints of unbalanced distribution networks journal May 2018
A Multi-Stage Restoration Method for Medium-Voltage Distribution System With DGs journal November 2017
Sharing cuts under aggregated forecasts when decomposing multi-stage stochastic programs journal May 2013
Sequential Service Restoration for Unbalanced Distribution Systems and Microgrids journal March 2018
Risk-Limiting Load Restoration for Resilience Enhancement With Intermittent Energy Resources journal May 2019
Demand Response and Distribution Grid Operations: Opportunities and Challenges journal September 2010
A Hierarchical Response-Based Approach to the Load Restoration Problem journal July 2017
Modeling Dynamic Demand Response Using Monte Carlo Simulation and Interval Mathematics for Boundary Estimation journal November 2015
Multi-Objective Optimization Model of Source–Load–Storage Synergetic Dispatch for a Building Energy Management System Based on TOU Price Demand Response journal March 2018
Improving Service Restoration of Power Distribution Systems Through Load Curtailment of In-Service Customers journal August 2011
Toward a Consensus on the Definition and Taxonomy of Power System Resilience journal January 2018
Distribution System Restoration With Microgrids Using Spanning Tree Search journal November 2014
A Statistical Demand-Price Model With Its Application in Optimal Real-Time Price journal December 2012
Agent Based Restoration With Distributed Energy Storage Support in Smart Grids journal June 2012
Load service restoration in active distribution network based on stochastic approach journal July 2018
Resilient Distribution System by Microgrids Formation After Natural Disasters journal March 2016
Review on Home Energy Management System Considering Demand Responses, Smart Technologies, and Intelligent Controllers journal January 2018
A More Resilient Grid: The U.S. Department of Energy Joins with Stakeholders in an R&D Plan journal May 2015
Dynamic demand response in smart buildings using an intelligent residential load management system journal November 2017
Proactive Management of Microgrids for Resiliency Enhancement: An Adaptive Robust Approach journal January 2019
Cut sharing for multistage stochastic linear programs with interstage dependency journal November 1996