A Decentralized Multiagent System Approach for Service Restoration Using DG Islanding

Sharma, Anurag; Srinivasan, Dipti; Trivedi, Anupam

doi:10.1109/tsg.2015.2418334

Cited by 141 publications

(81 citation statements)

References 31 publications

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“…The network topology is guaranteed to be loop-free throughout the supply restoration with constraint (11). Constraint (12) ensures each bus can only be supplied by one substation, that is, any two substations are not connectable.…”

Section: Supply Restoration Problem Formulation and Implementationmentioning

confidence: 99%

“…Constraint (12) ensures each bus can only be supplied by one substation, that is, any two substations are not connectable. Constraints (11) and (12) jointly guarantee the radiation of distribution system during the restoration process. If constraints (5)- (12) are met after closing the optimal switcher in nth optimization, then (n + 1)th optimization process are carried out.…”

Section: Supply Restoration Problem Formulation and Implementationmentioning

confidence: 99%

“…However, service areas of DGs are also decided before the restoration model according to DGs capacity, which may not be the optimal restoration scheme. A multi-agent system approach for decentralized power supply restoration was presented where the loads are resupplied by uninterruptable DGs independently in [11]. In [12], a novel load restoration optimization model is proposed to coordinate topology reconfiguration and microgrid formation while satisfying a variety of operational constraints.…”

Section: Introductionmentioning

confidence: 99%

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Robust Power Supply Restoration for Self-Healing Active Distribution Networks Considering the Availability of Distributed Generation

et al. 2018

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Abstract:The increasing penetration of distributed generations (DGs) with intermittent and stochastic characteristics into current power distribution networks can lead to increased fault levels and degradation in network protection. As one of the key requirements of active network management (ANM), efficient power supply restoration solution to guarantee network self-healing capability with full consideration of DG uncertainties is demanded. This paper presents a joint power supply restoration through combining the DG local restoration and switcher operation-based restoration to enhance the self-healing capability in active distribution networks considering the availability of distributed generation. The restoration algorithmic solution is designed to be able to carry out power restoration in parallel upon multiple simultaneous faults to maximize the load restoration while additionally minimizing power loss, topology variation and power flow changes due to switcher operations. The performance of the proposed solution is validated based on a 53-bus distribution network with wind power generators through extensive simulation experiments for a range of fault cases and DG scenarios generated based on Heuristic Moment Matching (HMM) method to fully consider the DG randomness. The numerical result in comparison with the existing solutions demonstrates the effectiveness of the proposed power supply restoration solution.

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Section: Supply Restoration Problem Formulation and Implementationmentioning

confidence: 99%

Section: Supply Restoration Problem Formulation and Implementationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Robust Power Supply Restoration for Self-Healing Active Distribution Networks Considering the Availability of Distributed Generation

et al. 2018

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“…Optimal islanding strategies using DGs and micro-resources for service restoration are proposed in [60][61][62][63][64]. Methods, such as branch and bound [61], weighted graph [62], and layered directed tree model [63], are investigated to determine the islanding range.…”

Section: Service Restoration Algorithmsmentioning

confidence: 99%

“…Utilization of DGs, energy storages, electric vehicles (EVs), and microgrids for service restoration has been studied [60,61,[81][82][83][84][85]. In [61], a multi-stage restoration procedure is proposed to maximize the amount of load restored by DGs.…”

Section: Approaches To Resilient Distribution Systemsmentioning

confidence: 99%

Electric Power Systems Research

2017

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Two‐stage coupling of coordinated energy management and self‐healing strategies in a smart distribution network considering coupling neighbouring microgrids according to autonomous decentralized restoration technique

Zaheri

Khederzadeh

2020

Int Trans Electr Energ Syst

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One of the central approaches in the smart grid is to restore the smart distribution network (SDN) including different renewable sources and storage systems as microgrid formwork under fault conditions. Therefore, the automatic restoration processes need optimal power flow results in the SDN at fault times. Hence, this study proposed the optimal two‐stage coordinated energy management approach (CEMA) and self‐healing strategy (SHS) in the SDN in the presence of coupling neighbouring microgrids (CNMGs) according to autonomous decentralized restoration technique (ADRT). In the first stage, the SDN operation cost receiving from the upstream grid was minimized to obtain flexible and reliable network, followed by addressing network power flow equations, CNMG constraints including the renewable energy sources (RESs), energy storage systems (ESSs) and electric vehicles (EVs), and SDN operating limits. In the second stage, the optimal model of the ADRT formwork was defined based on the multi‐agent system (MAS). Also, the suitable restoration path was obtained with different zone agents distributed across the network CNMGs considering the minimization of the difference between the number of switching operation and priority loads restored as the normalized objective function. Furthermore, the scenario‐based stochastic programming was used to model the uncertainty of energy price, load, RES power, and EVs parameters. Finally, the proposed problem was solved by the Grey Wolf Optimization (GWO) algorithm and simulated on 33‐bus radial distribution network using MATLAB software. According to numerical results, the proposed strategy can offer the self‐healing and flexible‐reliable SDN in addition to the well‐suited overloading management for CNMGs.

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A Decentralized Multiagent System Approach for Service Restoration Using DG Islanding

Cited by 141 publications

References 31 publications

Robust Power Supply Restoration for Self-Healing Active Distribution Networks Considering the Availability of Distributed Generation

Robust Power Supply Restoration for Self-Healing Active Distribution Networks Considering the Availability of Distributed Generation

Electric Power Systems Research

Two‐stage coupling of coordinated energy management and self‐healing strategies in a smart distribution network considering coupling neighbouring microgrids according to autonomous decentralized restoration technique

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