Resilience‐based framework for switch placement problem in power distribution systems

Zare-Bahramabadi, Majid; Abbaspour, Ali; Fotuhi‐Firuzabad, Mahmud; Moeini‐Aghtaie, Moein

doi:10.1049/iet-gtd.2017.0970

Cited by 55 publications

(45 citation statements)

References 19 publications

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“…To this end, a Generic Restoration Milestones (GRMs)-based algorithm is developed to assess blackstart capacities [11], and a procurement plan with a minimal cost while guaranteeing sufficient blackstart capacities is proposed to provide enough blackstart resources at right locations [12]. To effectively isolate possible failures and connect blackstart/emergency generators to systems, a resilience-based model for switch placement in distribution systems is developed prior to events [13]. In addition to physical power systems, hardening communication systems in charge of monitoring/controlling the physical power systems play an important role in enhancing the system resilience [14].…”

Section: Arxiv:190400627v1 [Mathoc] 1 Apr 2019mentioning

confidence: 99%

Markov Decision Process-Based Resilience Enhancement for Distribution Systems: An Approximate Dynamic Programming Approach

Wang

Lei

et al. 2020

IEEE Trans. Smart Grid

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Because failures in distribution systems caused by extreme weather events directly result in consumers' outages, this paper proposes a state-based decision-making model with the objective of mitigating loss of load to improve the distribution system resilience throughout the unfolding events. The sequentially uncertain system states, e.g., feeder line on/off states, driven by the unfolding events are modeled as Markov states, and the probabilities from one Markov state to another Markov state throughout the unfolding events are determined by the component failure caused by the unfolding events. A recursive optimization model based on Markov decision processes (MDP) is developed to make state-based actions, i.e., system reconfiguration, at each decision time. To overcome the curse of dimensionality caused by enormous states and actions, an approximate dynamic programming (ADP) approach based on post-decision states and iteration is used to solve the proposed MDP-based model. IEEE 33-bus system and IEEE 123-bus system are used to validate the proposed model.

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Section: Arxiv:190400627v1 [Mathoc] 1 Apr 2019mentioning

confidence: 99%

Markov Decision Process-Based Resilience Enhancement for Distribution Systems: An Approximate Dynamic Programming Approach

Wang

Lei

et al. 2020

IEEE Trans. Smart Grid

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“…Advanced distribution automation planning problem has been studied in a number of valuable research. [5][6][7][8][9][10][11][12] In this manuscript, an ADA planning problem is proposed in which the EDRPs are implemented in service restoration process. The proposed ADA planning problem is formulated in this section in details.…”

Section: Problem Formulationmentioning

confidence: 99%

“…4 In recent years, several researches have been conducted aiming at proposing an efficient ADA planning strategy for EDNs. [5][6][7][8][9][10][11][12] In Shahsavari et al, 5 a set of control and protection actions has been presented, which is called "healer reinforcement approach," for the ADA planning. In Moradi and Fotuhi-Firuzabad, 6 a three-state approach inspired from the discrete version of a particle swarm optimization (PSO) developed to specify the optimal number and locations of sectionalizing switches and circuit breakers in EDNs.…”

Section: Introductionmentioning

confidence: 99%

A stochastic formulation for distribution automation planning incorporating emergency demand response programs

Mohammadi

Soleymani

Mozafari

et al. 2019

Int Trans Electr Energ Syst

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Summary Advanced distribution automation (ADA) is a vital basis of the smart grid, which leads to enhancement of reliability level. Moreover, demand response programs are highly proposed to be employed in the smart grid. In this paper, a cross‐sectional benefit of smart grid maturity model is proposed in which the emergency demand response programs (EDRPs) are considered in the ADA planning problem. In fact, the role of EDRPs is considered in the service restoration process that affects the ADA plan. The service restoration process possesses several uncertain parameters including the demanded power of customers during service restoration, which are considered in the proposed formulation for ADA planning. The objective function of the optimization problem includes various costs imposed to the distribution system operator due to contingency occurrence including the expected total customer interruption cost, total investment cost of automatic sectionalizing switches, circuit breakers, and fuses deployment, and the total expected cost of implementing EDRP programs in the service restoration. The presented ADA planning methodology is tested on the fourth bus number of Roy Bilinton test system (RBTS4) to investigate its effectiveness.

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“…However, compared with IEDS resilience, many studies have been made in the literature on power system resilience [8][9][10][11][12][13][14][15]. Power system resilience can be defined as the ability to anticipate, withstand, absorb and recover rapidly from disruptions caused by extreme natural catastrophes such as earthquakes, hurricanes and flooding [16].…”

Section: Introductionmentioning

confidence: 99%

“…Power system resilience can be defined as the ability to anticipate, withstand, absorb and recover rapidly from disruptions caused by extreme natural catastrophes such as earthquakes, hurricanes and flooding [16]. To enhance power system resilience, the strategies in previous research could be roughly categorized into the following aspects: placing flexible back-up resources [8,9], improving response ability [10,11], altering network topology [12][13][14] and hardening distribution lines [15]. The study in [8] proposes a two-stage dispatch framework consisting of the pre-positioning and real-time allocation of mobile emergency generators to restore critical loads in electricity distribution systems.…”

Section: Introductionmentioning

confidence: 99%

Enhancing Integrated Energy Distribution System Resilience through a Hierarchical Management Strategy in District Multi-Energy Systems

Wang

et al. 2019

Sustainability

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The requirement for energy sustainability drives the development of integrated energy distribution systems (IEDSs). In this paper, considering the coordination of district multi-energy systems (DMESs), a hierarchical management strategy is proposed to enhance IEDS resilience. The proposed strategy is divided into three modes: the normal operation mode, the preventive operation mode and the resilient operation mode. In the normal operation mode, the objective of DEMSs is to minimize the operation costs. In the preventive operation mode, the objective of DEMSs is to maximize the stored energy for mitigating outage. The resilient operation mode consists of two stages. DMESs schedule their available resources and broadcast excess generation capacities or unserved loads to neighboring DMESs through the cyber communication network in the first stage. In the second stage, DMESs interchange electricity and natural gas with each other through the physical common bus for global optimization. A consensus algorithm was applied to determine the allocated proportions of exported or imported electricity and natural gas for each DMES in a distributed way. An IEDS including five DMESs was used as a test system. The results of the case studies demonstrate the effectiveness of the proposed hierarchical management strategy and algorithm.

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Resilience‐based framework for switch placement problem in power distribution systems

Cited by 55 publications

References 19 publications

Markov Decision Process-Based Resilience Enhancement for Distribution Systems: An Approximate Dynamic Programming Approach

Markov Decision Process-Based Resilience Enhancement for Distribution Systems: An Approximate Dynamic Programming Approach

A stochastic formulation for distribution automation planning incorporating emergency demand response programs

Enhancing Integrated Energy Distribution System Resilience through a Hierarchical Management Strategy in District Multi-Energy Systems

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