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Title: Restoration Strategy for Active Distribution Systems Considering Endogenous Uncertainty in Cold Load Pickup

Abstract

Cold load pickup (CLPU) phenomenon is identified as the persistent power inrush upon a sudden load pickup after an outage. Under the active distribution system (ADS) paradigm, where distributed energy resources (DERs) are extensively installed, the decreased outage duration can induce a strong interdependence between CLPU pattern and load pickup decisions. In this paper, we propose a novel modelling technique to tractably capture the decision-dependent uncertainty (DDU) inherent in the CLPU process. Subsequently, a two-stage stochastic decision-dependent service restoration (SDDSR) model is constructed, where first stage searches for the optimal switching sequences to decide step-wise network topology, and the second stage optimizes the detailed generation schedule of DERs as well as the energization of switchable loads. Further, to tackle the computational burdens introduced by mixed-integer recourse, the progressive hedging algorithm (PHA) is utilized to decompose the original model into scenario-wise subproblems that can be solved in parallel. The numerical test on modified IEEE 123-node test feeders has verified the efficiency of our proposed SDDSR model and provided fresh insights into the monetary and secure values of DDU quantification.

Authors:
 [1];  [2];  [1];  [3];  [1]
+ Show Author Affiliations
  1. Univ. of Hong Kong (Hong Kong)
  2. Univ. of Central Florida, Orlando, FL (United States)
  3. Chinese Univ. of Hong Kong, Shenzhen (China)
Publication Date:
Research Org.:
Univ. of Central Florida, Orlando, FL (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office; National Natural Science Foundation of China (NSFC); Research Grants Council (RGC) of Hong Kong
OSTI Identifier:
1845016
Alternate Identifier(s):
OSTI ID: 2324946; OSTI ID: 2326028
Grant/Contract Number:  
EE0009339; EE0007998; EE0009028; U1966601; GRF 17207818
Resource Type:
Accepted Manuscript
Journal Name:
IEEE Transactions on Smart Grid
Additional Journal Information:
Journal Volume: 13; Journal Issue: 4; Journal ID: ISSN 1949-3053
Publisher:
IEEE
Country of Publication:
United States
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION; cold load pickup; decision-dependent uncertainty; distribution system; service restoration; stochastic programming

Citation Formats

Li, Yujia, Sun, Wei, Yin, Wenqian, Lei, Shunbo, and Hou, Yunhe. Restoration Strategy for Active Distribution Systems Considering Endogenous Uncertainty in Cold Load Pickup. United States: N. p., 2021. Web. doi:10.1109/tsg.2021.3120555.
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Li, Yujia, Sun, Wei, Yin, Wenqian, Lei, Shunbo, & Hou, Yunhe. Restoration Strategy for Active Distribution Systems Considering Endogenous Uncertainty in Cold Load Pickup. United States. https://doi.org/10.1109/tsg.2021.3120555
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Li, Yujia, Sun, Wei, Yin, Wenqian, Lei, Shunbo, and Hou, Yunhe. Fri . "Restoration Strategy for Active Distribution Systems Considering Endogenous Uncertainty in Cold Load Pickup". United States. https://doi.org/10.1109/tsg.2021.3120555. https://www.osti.gov/servlets/purl/1845016.
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@article{osti_1845016,
title = {Restoration Strategy for Active Distribution Systems Considering Endogenous Uncertainty in Cold Load Pickup},
author = {Li, Yujia and Sun, Wei and Yin, Wenqian and Lei, Shunbo and Hou, Yunhe},
abstractNote = {Cold load pickup (CLPU) phenomenon is identified as the persistent power inrush upon a sudden load pickup after an outage. Under the active distribution system (ADS) paradigm, where distributed energy resources (DERs) are extensively installed, the decreased outage duration can induce a strong interdependence between CLPU pattern and load pickup decisions. In this paper, we propose a novel modelling technique to tractably capture the decision-dependent uncertainty (DDU) inherent in the CLPU process. Subsequently, a two-stage stochastic decision-dependent service restoration (SDDSR) model is constructed, where first stage searches for the optimal switching sequences to decide step-wise network topology, and the second stage optimizes the detailed generation schedule of DERs as well as the energization of switchable loads. Further, to tackle the computational burdens introduced by mixed-integer recourse, the progressive hedging algorithm (PHA) is utilized to decompose the original model into scenario-wise subproblems that can be solved in parallel. The numerical test on modified IEEE 123-node test feeders has verified the efficiency of our proposed SDDSR model and provided fresh insights into the monetary and secure values of DDU quantification.},
doi = {10.1109/tsg.2021.3120555},
journal = {IEEE Transactions on Smart Grid},
number = 4,
volume = 13,
place = {United States},
year = {Fri Oct 15 00:00:00 EDT 2021},
month = {Fri Oct 15 00:00:00 EDT 2021}
}
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https://doi.org/10.1109/tsg.2021.3120555
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Works referenced in this record:

Robust Distribution System Load Restoration With Time-Dependent Cold Load Pickup
journal, July 2021

  • Song, Meng; nejad, Reza Roofegari; Sun, Wei
  • IEEE Transactions on Power Systems, Vol. 36, Issue 4
  • DOI: 10.1109/TPWRS.2020.3048036

Robust Medium-Voltage Distribution System State Estimation using Multi-Source Data
conference, February 2020

  • Zhao, Junbo; Huang, Can; Mili, Lamine
  • 2020 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)
  • DOI: 10.1109/ISGT45199.2020.9087787

Backward reduction application for minimizing wind power scenarios in stochastic programming
conference, June 2010

  • Razali, N. M. Muhamad; Hashim, A. H.
  • 2010 4th International Power Engineering and Optimization Conference (PEOCO)
  • DOI: 10.1109/PEOCO.2010.5559252

Cold load pickup model parameters based on measurements in distribution systems
journal, November 2019

  • Hachmann, Christian; Lammert, Gustav; Hamann, Lucas
  • IET Generation, Transmission & Distribution, Vol. 13, Issue 23
  • DOI: 10.1049/iet-gtd.2018.6524

Distributed Risk-Limiting Load Restoration in Unbalanced Distribution Systems With Networked Microgrids
journal, November 2020

Risk-Limiting Load Restoration for Resilience Enhancement With Intermittent Energy Resources
journal, May 2019

Multi-Time Step Service Restoration for Advanced Distribution Systems and Microgrids
journal, November 2018

Identification of Critical Switches for Integrating Renewable Distributed Generation by Dynamic Network Reconfiguration
journal, January 2018

A Closed-Loop State Estimation Tool for MV Network Monitoring and Operation
journal, July 2015

  • Hayes, Barry P.; Gruber, Jorn K.; Prodanovic, Milan
  • IEEE Transactions on Smart Grid, Vol. 6, Issue 4
  • DOI: 10.1109/TSG.2014.2378035

Cold load pickup issues
conference, March 2009

Radiality Constraints for Resilient Reconfiguration of Distribution Systems: Formulation and Application to Microgrid Formation
journal, September 2020

Further Reduction of Zero-One Polynomial Programming Problems to Zero-One linear Programming Problems
journal, February 1973

Option Value of Demand-Side Response Schemes Under Decision-Dependent Uncertainty
journal, September 2018

  • Giannelos, Spyros; Konstantelos, Ioannis; Strbac, Goran
  • IEEE Transactions on Power Systems, Vol. 33, Issue 5
  • DOI: 10.1109/TPWRS.2018.2796076

Residential load modeling for predicting distribution transformer load behavior, feeder load and cold load pickup
journal, May 2002

Generation Expansion Planning With Large Amounts of Wind Power via Decision-Dependent Stochastic Programming
journal, July 2017

  • Zhan, Yiduo; Zheng, Qipeng P.; Wang, Jianhui
  • IEEE Transactions on Power Systems, Vol. 32, Issue 4
  • DOI: 10.1109/TPWRS.2016.2626958

Load service restoration in active distribution network based on stochastic approach
journal, July 2018

  • Riahinia, Shahin; Abbaspour, Ali; Moeini-Aghtaie, Moein
  • IET Generation, Transmission & Distribution, Vol. 12, Issue 12
  • DOI: 10.1049/iet-gtd.2017.0684

Resilience Enhancement of Distribution Grids Against Extreme Weather Events
journal, September 2018

Service restoration of active distribution systems with increasing penetration of renewable distributed generation
journal, June 2019

  • Koutsoukis, Nikolaos C.; Georgilakis, Pavlos S.; Hatziargyriou, Nikos D.
  • IET Generation, Transmission & Distribution, Vol. 13, Issue 14
  • DOI: 10.1049/iet-gtd.2018.6153

Anatomy of power system blackouts: preventive relaying strategies
journal, April 1996

  • Tamronglak, S.; Horowitz, S. H.; Phadke, A. G.
  • IEEE Transactions on Power Delivery, Vol. 11, Issue 2
  • DOI: 10.1109/61.489327

A Data-Driven Framework for Assessing Cold Load Pick-Up Demand in Service Restoration
journal, November 2019

  • Bu, Fankun; Dehghanpour, Kaveh; Wang, Zhaoyu
  • IEEE Transactions on Power Systems, Vol. 34, Issue 6
  • DOI: 10.1109/TPWRS.2019.2922333

Cold Load Pickup
journal, July 1979

  • McDonald, James; Bruning, Armin
  • IEEE Transactions on Power Apparatus and Systems, Vol. PAS-98, Issue 4
  • DOI: 10.1109/TPAS.1979.319340

Robust Restoration Method for Active Distribution Networks
journal, September 2016

Multistage robust mixed-integer optimization under endogenous uncertainty
journal, October 2021

Decision-dependent probabilities in stochastic programs with recourse
journal, August 2018

  • Hellemo, Lars; Barton, Paul I.; Tomasgard, Asgeir
  • Computational Management Science, Vol. 15, Issue 3-4
  • DOI: 10.1007/s10287-018-0330-0

Statistical analysis of wind speed using two-parameter Weibull distribution in Alaçatı region
journal, August 2016

Evaluating the Magnitude and Duration of Cold Load Pick-up on Residential Distribution Feeders Using Multi-State Load Models
journal, September 2016

  • Schneider, Kevin P.; Sortomme, Eric; Venkata, S. S.
  • IEEE Transactions on Power Systems, Vol. 31, Issue 5
  • DOI: 10.1109/TPWRS.2015.2494882

Service Restoration for a Renewable-Powered Microgrid in Unscheduled Island Mode
journal, May 2015

  • Zhao, Binyan; Dong, Xiaodai; Bornemann, Jens
  • IEEE Transactions on Smart Grid, Vol. 6, Issue 3
  • DOI: 10.1109/TSG.2014.2373272

Influence of Ambient Temperature on Transformer Overloading During Cold Load Pickup
journal, January 2013

  • Edstrom, Fredrik; Rosenlind, Johanna; Alvehag, Karin
  • IEEE Transactions on Power Delivery, Vol. 28, Issue 1
  • DOI: 10.1109/TPWRD.2012.2219079

An Overview of Cold Load Pickup Issues in Distribution Systems
journal, June 2006

  • Kumar, Vishal; Gupta, Indra; Gupta, Hari Om
  • Electric Power Components and Systems, Vol. 34, Issue 6
  • DOI: 10.1080/15325000500419219

Progressive hedging innovations for a class of stochastic mixed-integer resource allocation problems
journal, July 2010

Radial distribution test feeders
journal, January 1991

  • Kersting, W. H.
  • IEEE Transactions on Power Systems, Vol. 6, Issue 3
  • DOI: 10.1109/59.119237

Incorporating Uncertainty of Wind Power Generation Forecast Into Power System Operation, Dispatch, and Unit Commitment Procedures
journal, October 2011

  • Makarov, Yuri V.; Etingov, Pavel V.; Ma, Jian
  • IEEE Transactions on Sustainable Energy, Vol. 2, Issue 4
  • DOI: 10.1109/TSTE.2011.2159254

Optimizing Service Restoration in Distribution Systems With Uncertain Repair Time and Demand
journal, November 2018

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