Distributed Load Restoration in Unbalanced Active Distribution Systems

Roofegari Nejad, Reza; Sun, Wei

doi:10.1109/TSG.2019.2891419

Title: Distributed Load Restoration in Unbalanced Active Distribution Systems

Full Record
Other Related Research

Abstract

We present that the resilience of modern power systems has been constantly threatened by various natural disasters and manmade attacks. Under those threats, fast and automatic restoration actions are critical for restoring impacted systems to normal operating conditions and preventing from additional disastrous consequences. Smart grid technologies, such as distributed energy resources (DERs) and microgrids, provide both opportunities and challenges for distribution system restoration. In this paper, distributed load restoration (DLR), in unbalanced active distribution networks is developed using the alternating direction method of multipliers (ADMM) algorithm. The step-by-step restoration actions are provided to schedule the output of DERs and distribution system control devices, as well as the power consumption from transmission system restoration. The nonlinearities from three-phase unbalanced power flow and distribution components modeling are relaxed into a convex quadratic programming model. Then, the problem is decomposed into subproblems for each node by applying ADMM-DLR; and solves through each agent by exchanging limited information with neighboring nodes in an iterative procedure. The developed models and algorithms are validated and demonstrated through testing of the IEEE 13-node and 123-node test feeders. Lastly, simulation results demonstrate the effectiveness of restoring unbalanced distribution system with the hybrid bottom-up and top-down restoration strategies.

Authors:

^[1];

^[1]

Univ. of Central Florida, Orlando, FL (United States)

Publication Date:: Tue Jan 08 00:00:00 EST 2019

Research Org.:: Univ. of Central Florida, Orlando, FL (United States)

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE)

OSTI Identifier:: 1601125

Alternate Identifier(s):: OSTI ID: 1819879

Grant/Contract Number:: EE0007327; EE0007998

Resource Type:: Accepted Manuscript

Journal Name:: IEEE Transactions on Smart Grid

Additional Journal Information:: Journal Volume: 10; Journal Issue: 5; Journal ID: ISSN 1949-3053

Publisher:: IEEE

Country of Publication:: United States

Language:: English

Subject:: 24 POWER TRANSMISSION AND DISTRIBUTION; 14 SOLAR ENERGY; Alternating direction method of multipliers (ADMM); bidirectional unbalanced power flow; convex quadratic programming; distributed energy resources; load restoration

Citation Formats


                    Roofegari Nejad, Reza, and Sun, Wei. Distributed Load Restoration in Unbalanced Active Distribution Systems.  United States: N. p., 2019. 
Web.  doi:10.1109/TSG.2019.2891419.

Copy to clipboard


                    Roofegari Nejad, Reza, & Sun, Wei. Distributed Load Restoration in Unbalanced Active Distribution Systems.  United States.  https://doi.org/10.1109/TSG.2019.2891419

Copy to clipboard


                    Roofegari Nejad, Reza, and Sun, Wei. Tue .  
"Distributed Load Restoration in Unbalanced Active Distribution Systems".  United States.  https://doi.org/10.1109/TSG.2019.2891419.  https://www.osti.gov/servlets/purl/1601125.

Copy to clipboard


                    
@article{osti_1601125,

  title        = {Distributed Load Restoration in Unbalanced Active Distribution Systems},

  author       = {Roofegari Nejad, Reza and Sun, Wei},

  abstractNote = {We present that the resilience of modern power systems has been constantly threatened by various natural disasters and manmade attacks. Under those threats, fast and automatic restoration actions are critical for restoring impacted systems to normal operating conditions and preventing from additional disastrous consequences. Smart grid technologies, such as distributed energy resources (DERs) and microgrids, provide both opportunities and challenges for distribution system restoration. In this paper, distributed load restoration (DLR), in unbalanced active distribution networks is developed using the alternating direction method of multipliers (ADMM) algorithm. The step-by-step restoration actions are provided to schedule the output of DERs and distribution system control devices, as well as the power consumption from transmission system restoration. The nonlinearities from three-phase unbalanced power flow and distribution components modeling are relaxed into a convex quadratic programming model. Then, the problem is decomposed into subproblems for each node by applying ADMM-DLR; and solves through each agent by exchanging limited information with neighboring nodes in an iterative procedure. The developed models and algorithms are validated and demonstrated through testing of the IEEE 13-node and 123-node test feeders. Lastly, simulation results demonstrate the effectiveness of restoring unbalanced distribution system with the hybrid bottom-up and top-down restoration strategies.},

  doi          = {10.1109/TSG.2019.2891419},

  journal      = {IEEE Transactions on Smart Grid},

  number       = 5,

  volume       = 10,

  place        = {United States},

  year         = {Tue Jan 08 00:00:00 EST 2019},

  month        = {Tue Jan 08 00:00:00 EST 2019}

}

Copy to clipboard

Journal Article:

Free Publicly Available Full Text

Accepted Manuscript (DOE)

Publisher's Version of Record

https://doi.org/10.1109/TSG.2019.2891419

Other availability

Search WorldCat to find libraries that may hold this journal

Citation Metrics:

Cited by: 29 works

Citation information provided by
Web of Science

Save / Share:

Export Metadata

Save to My Library

Similar Records in DOE PAGES and OSTI.GOV collections:

Chance-constrained Service Restoration for Distribution Networks with Renewables

Conference nejad, Reza Roofegari ; Sun, Wei - 2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)

Power systems operation is facing great challenges from natural disasters and cyber-attacks. It is critical but also difficult to enhance the reliability and resilience against extreme events. To better response to inevitable outages or blackouts, service restoration in distribution networks is important to minimize the disastrous impacts of catastrophic events. The increasing penetration of distributed energy resources (DERs) provides new opportunities to expedite the restoration process. However, the coordination with conventional distribution system control devices and the uncertainty and variability of intermittent renewable energy resources requires new operation and control strategies for distribution service restoration (DSR). This paper develops anmore »« less
https://doi.org/10.1109/pmaps.2018.8440520

Full Text Available
Sequential Service Restoration for Unbalanced Distribution Systems and Microgrids

Journal Article Chen, Bo ; Chen, Chen ; Wang, Jianhui ; ... - IEEE Transactions on Power Systems

The resilience and reliability of modern power systems are threatened by increasingly severe weather events and cyber-physical security events. An effective restoration methodology is desired to optimally integrate emerging smart grid technologies and pave the way for developing self-healing smart grids. In this paper, a sequential service restoration (SSR) framework is proposed to generate restoration solutions for distribution systems and microgrids in the event of large-scale power outages. The restoration solution contains a sequence of control actions that properly coordinate switches, distributed generators, and switchable loads to form multiple isolated microgrids. The SSR can be applied for three-phase unbalanced distributionmore »« less
Cited by 147
https://doi.org/10.1109/TPWRS.2017.2720122

Full Text Available
Restoration Strategy for Active Distribution Systems Considering Endogenous Uncertainty in Cold Load Pickup

Journal Article Li, Yujia ; Sun, Wei ; Yin, Wenqian ; ... - IEEE Transactions on Smart Grid

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 secondmore »« less
https://doi.org/10.1109/tsg.2021.3120555

Full Text Available
Distributed ADMM Using Private Blockchain for Power Flow Optimization in Distribution Network With Coupled and Mixed-Integer Constraints

Journal Article Shah, Chinmay ; King, Jennifer ; Wies, Richard W. - IEEE Access

The optimization problem for scheduling distributed energy resources (DERs) and battery energy storage systems (BESS) integrated with the power grid is important to minimize energy consumption from conventional sources in response to demand. Conventionally this optimization problem is solved in a centralized manner, limiting the size of the problem that can be solved and creating a high communication overhead because all the data is transferred to the central controller. These limitations are addressed by the proposed distributed consensus-based alternating direction method of multiplier (DC-ADMM) optimization algorithm, which decomposes the optimization problem into subproblems with private cost function and constraints. Themore »« less
https://doi.org/10.1109/access.2021.3066970

Full Text Available
Optimal Voltage Regulation for Unbalanced Distribution Networks Considering Distributed Energy Resources

Conference Xu, Yan ; Tomsovic, Kevin

With increasing penetration of distributed generation in the distribution networks (DN), the secure and optimal operation of DN has become an important concern. In this paper, an iterative quadratic constrained quadratic programming model to minimize voltage deviations and maximize distributed energy resource (DER) active power output in a three phase unbalanced distribution system is developed. The optimization model is based on the linearized sensitivity coefficients between controlled variables (e.g., node voltages) and control variables (e.g., real and reactive power injections of DERs). To avoid the oscillation of solution when it is close to the optimum, a golden search method ismore »« less

Similar Records