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

Abstract

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 withoutmore » DR.« less

Authors:

Hafiz, Faeza ^[1]; Chen, Bo ^[2]; Chen, Chen ^[2]; Rodrigo de Queiroz, Anderson ^[1]; Husain, Iqbal ^[1]

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+ Show Author Affiliations

1. North Carolina State Univ., Raleigh, NC (United States)
2. Argonne National Lab. (ANL), Argonne, IL (United States)

Publication Date:

2019-07-23

Research Org.:

Argonne National Lab. (ANL), Argonne, IL (United States)

Sponsoring Org.:

USDOE Office of Electricity Delivery and Energy Reliability (OE), Advanced Grid Research and Development

OSTI Identifier:

1560041

Grant/Contract Number:  

AC02-06CH11357

Resource Type:

Journal Article: Accepted Manuscript

Journal Name:

IET Generation, Transmission, & Distribution

Additional Journal Information:

Journal Volume: 13; Journal Issue: 14; Journal ID: ISSN 1751-8687

Publisher:

Institution of Engineering and Technology

Country of Publication:

United States

Language:

English

Subject:

24 POWER TRANSMISSION AND DISTRIBUTION; IEEE 123-node test feeder system; aggregated load; demand response; demand side management; distribution grid resilience; distribution service restoration; distribution-grid level; domestic appliances; energy management systems; grid resiliency; home energy management; household-level flexible appliances; integrated control; mixed-integer linear programming; multistage stochastic programming; optimisation; optimisation problems; power distribution control; power grids; power outages; power system restoration; resilient distribution grid; solar generation; stochastic dual dynamic programming; target load demand