Proposing a Framework for Resilient Active Distribution Systems using Withstand, Respond, Adapt, and Prevent Element

The increasing frequency of natural disasters and man-made attacks have increased power outages worldwide. Thus, a resilient infrastructure must be constructed to reduce power system damages which directly impacts on the social and economic lives of people. In this paper, a new framework called withstand, respond, adapt, and prevent (WRAP) is presented to evaluate and improve the resilience of distribution networks following a review on existing studies. This resilience enhancement may happen through microgrid and multi- microgrid development in planning or operation stages. Each element of the WRAP framework is responsible for the improvement of the power system resilience in terms of its own attributes and resilience evaluation index. Furthermore, the WRAP framework is defined on the basis of a flowchart with respect to conditional statements. The WRAP framework can be a helpful solution in measuring the resiliency of the power system in terms of robustness, rapidity, adaptability, and predictability. Finally, a case study considering energy-not- supplied as a resilience evaluation index is presented.

[1]  Asit Mohanty,et al.  Design and Analysis of Renewable Energy based Generation Control in a Restructured Power System , 2018, 2018 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES).

[2]  L. Garcia-Santander,et al.  Greedy Reconfiguration Algorithms for Medium-Voltage Distribution Networks , 2009, IEEE Transactions on Power Delivery.

[3]  M. R. Barzegaran,et al.  Cyber physical renewable energy microgrid: A novel approach to make the power system reliable, resilient and secure , 2016, 2016 IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia).

[4]  Jun Chen,et al.  A resiliency measure for electrical power systems , 2016, 2016 13th International Workshop on Discrete Event Systems (WODES).

[5]  Pierluigi Mancarella,et al.  Power System Resilience to Extreme Weather: Fragility Modeling, Probabilistic Impact Assessment, and Adaptation Measures , 2017, IEEE Transactions on Power Systems.

[6]  Zhaohong Bie,et al.  Tri-level optimal hardening plan for a resilient distribution system considering reconfiguration and DG islanding , 2018 .

[7]  Chong Wang,et al.  Resilience Enhancement With Sequentially Proactive Operation Strategies , 2017, IEEE Transactions on Power Systems.

[8]  Sahand Ghavidel,et al.  Demand Response Modeling in Microgrid Operation: a Review and Application for Incentive-Based and Time-Based Programs , 2018, Renewable and Sustainable Energy Reviews.

[9]  Adam Hahn,et al.  CyPhyR: a cyber-physical analysis tool for measuring and enabling resiliency in microgrids , 2019, IET Cyper-Phys. Syst.: Theory & Appl..

[10]  Tongdan Jin,et al.  Planning for Distribution Resilience under Variable Generation: Prevention, Surviving and Recovery , 2018, 2018 IEEE Green Technologies Conference (GreenTech).

[11]  Hossein Afrakhte,et al.  Optimal Allocation of Wind Turbines Considering Different Costs for Interruption Aiming at Power Loss Reduction and Reliability Improvement Using Imperialistic Competitive Algorithm , 2013 .

[12]  Mohammad E. Khodayar,et al.  Resilient operation of multiple energy carrier microgrids , 2015, 2016 IEEE Power and Energy Society General Meeting (PESGM).

[13]  V. Terzija,et al.  Controlled islanding strategy considering power system restoration constraints , 2012, 2012 IEEE Power and Energy Society General Meeting.

[14]  Anurag K. Srivastava,et al.  Defining and Enabling Resiliency of Electric Distribution Systems With Multiple Microgrids , 2016, IEEE Transactions on Smart Grid.

[15]  Hak-Man Kim,et al.  Optimal operation of hybrid microgrids for enhancing resiliency considering feasible islanding and survivability , 2017 .

[16]  Pierluigi Siano,et al.  A Survey on Power System Blackout and Cascading Events: Research Motivations and Challenges , 2019, Energies.

[17]  Anurag K. Srivastava,et al.  Quantifying power distribution system resiliency using code based metric , 2016, 2016 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES).

[18]  H. Afrakhte,et al.  Optimal placement of tie points and sectionalizers in radial distribution network in presence of DGs considering load significance , 2013, 2013 Smart Grid Conference (SGC).

[19]  Chen-Ching Liu,et al.  Distribution System Restoration With Microgrids Using Spanning Tree Search , 2014, IEEE Transactions on Power Systems.

[20]  Bruno Agard,et al.  A survey of models and algorithms for emergency response logistics in electric distribution systems. Part I: Reliability planning with fault considerations , 2013, Comput. Oper. Res..

[21]  N. Safaei,et al.  Workforce Planning for Power Restoration: An Integrated Simulation-Optimization Approach , 2012, IEEE Transactions on Power Systems.

[22]  Li Li,et al.  A review on clustering of residential electricity customers and its applications , 2017, 2017 20th International Conference on Electrical Machines and Systems (ICEMS).

[23]  Hamed Ahmadi,et al.  Distribution system restoration considering critical infrastructures interdependencies , 2014, 2014 IEEE PES General Meeting | Conference & Exposition.

[24]  Li Li,et al.  A review on economic and technical operation of active distribution systems , 2019, Renewable and Sustainable Energy Reviews.

[25]  C.J. Zapata,et al.  Modeling the repair process of a power distribution system , 2008, 2008 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America.

[26]  Jianhui Wang,et al.  Resilient Distribution System by Microgrids Formation After Natural Disasters , 2016, IEEE Transactions on Smart Grid.

[27]  F. H. Jufri,et al.  State-of-the-art review on power grid resilience to extreme weather events: Definitions, frameworks, quantitative assessment methodologies, and enhancement strategies , 2019, Applied Energy.

[28]  Tao Ding,et al.  Toward a Synthetic Model for Distribution System Restoration and Crew Dispatch , 2019, IEEE Transactions on Power Systems.

[29]  Pierluigi Mancarella,et al.  Boosting the Power Grid Resilience to Extreme Weather Events Using Defensive Islanding , 2016, IEEE Transactions on Smart Grid.

[30]  S. H. Gilani,et al.  Probabilistic method for optimal placement of wind-based distributed generation with considering reliability improvement and power loss reduction , 2012, The 4th Conference on Thermal Power Plants.

[31]  Li Li,et al.  New energy management approach in distribution systems considering energy storages , 2017, 2017 20th International Conference on Electrical Machines and Systems (ICEMS).

[32]  Enrico Zio,et al.  Resilient Critical Infrastructure Planning Under Disruptions Considering Recovery Scheduling , 2019, IEEE Transactions on Engineering Management.

[33]  Amin Khodaei,et al.  Machine Learning Based Power Grid Outage Prediction in Response to Extreme Events , 2017, IEEE Transactions on Power Systems.

[34]  Benjamin F. Hobbs,et al.  A Stochastic Market Design With Revenue Adequacy and Cost Recovery by Scenario: Benefits and Costs , 2018, IEEE Transactions on Power Systems.

[35]  N. Hatziargyriou,et al.  Spatial Risk Analysis of Power Systems Resilience During Extreme Events , 2018, Risk analysis : an official publication of the Society for Risk Analysis.

[36]  Mario Paolone,et al.  Optimal Planning of Distributed Energy Storage Systems in Active Distribution Networks Embedding Grid Reconfiguration , 2018, IEEE Transactions on Power Systems.

[37]  Wencong Su,et al.  Stochastic Resilient Post-Hurricane Power System Recovery Based on Mobile Emergency Resources and Reconfigurable Networked Microgrids , 2018, IEEE Access.

[38]  Peng Wang,et al.  Transportable Energy Storage for More Resilient Distribution Systems With Multiple Microgrids , 2019, IEEE Transactions on Smart Grid.

[39]  Asit Mohanty,et al.  Robustness and Stability analysis of Renewable Energy Based Two Area Automatic Generation Control , 2018 .

[40]  Naresh Malla,et al.  Resilience of electrical power delivery system in response to natural disasters , 2017, 2017 7th International Conference on Power Systems (ICPS).

[41]  Vitor Nazário Coelho,et al.  Multi-agent systems applied for energy systems integration: State-of-the-art applications and trends in microgrids , 2017 .

[42]  Daniel S. Kirschen,et al.  Assessing the Impact of Insufficient Situation Awareness on Power System Operation , 2013, IEEE Transactions on Power Systems.

[43]  Farrokh Aminifar,et al.  Toward a Consensus on the Definition and Taxonomy of Power System Resilience , 2018, IEEE Access.

[44]  Han Zhang,et al.  Quantitative Resilience Assessment under a Tri-Stage Framework for Power Systems , 2018, Energies.

[45]  Pierluigi Mancarella,et al.  Multi-phase assessment and adaptation of power systems resilience to natural hazards , 2016 .

[46]  Zhaoyu Wang,et al.  Resilience Enhancement Strategy for Distribution Systems Under Extreme Weather Events , 2018, IEEE Transactions on Smart Grid.

[47]  Prakash K. Ray,et al.  Performance enhancement of AGC under open market scenario using TDOFPID and IPFC controller , 2018, J. Intell. Fuzzy Syst..

[48]  Furong Li,et al.  Battling the Extreme: A Study on the Power System Resilience , 2017, Proceedings of the IEEE.

[49]  Jianhui Wang,et al.  Networked Microgrids for Self-Healing Power Systems , 2016, IEEE Transactions on Smart Grid.

[50]  Anurag K. Srivastava,et al.  Quantifying resiliency of smart power distribution systems with distributed energy resources , 2015, 2015 IEEE 24th International Symposium on Industrial Electronics (ISIE).

[51]  Li Li,et al.  From active distribution systems to decentralized microgrids: A review on regulations and planning approaches based on operational factors , 2019, Applied Energy.

[52]  Peng Kou,et al.  Distributed EMPC of multiple microgrids for coordinated stochastic energy management , 2017 .

[53]  Amin Khodaei,et al.  Improving power grid resilience through predictive outage estimation , 2017, 2017 North American Power Symposium (NAPS).

[54]  Mojtaba Jabbari Ghadi,et al.  Simultaneous presence of wind farm and V2G in security constrained unit commitment problem considering uncertainty of wind generation , 2018, 2018 IEEE Texas Power and Energy Conference (TPEC).

[55]  Qian Ai,et al.  Interactive energy management of networked microgrids-based active distribution system considering large-scale integration of renewable energy resources , 2016 .

[56]  Feng Qiu,et al.  Resilience-Oriented Design of Distribution Systems , 2019, IEEE Transactions on Power Systems.

[57]  Francesco Bullo,et al.  Breaking the Hierarchy: Distributed Control and Economic Optimality in Microgrids , 2014, IEEE Transactions on Control of Network Systems.

[58]  Jianhui Wang,et al.  Power Grid Resilience [Scanning the Issue] , 2017, Proc. IEEE.

[59]  Alexandre Oudalov,et al.  The Provision of Frequency Control Reserves From Multiple Microgrids , 2011, IEEE Transactions on Industrial Electronics.