Modeling and Optimizing Recovery Strategies for Power Distribution System Resilience

Arjomandi-Nezhad, Ali; Fotuhi‐Firuzabad, Mahmud; Moeini‐Aghtaie, Moein; Safdarian, Amir; Dehghanian, Payman; Wang, Fei

doi:10.1109/jsyst.2020.3020058

Cited by 36 publications

(14 citation statements)

References 20 publications

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“…Also, (21a)-(21b) indicate that DGs with black start capability can start from a zero-loading condition. Note that, for non-black start DG units, the output power of each phase should be the same, which is assured by (22). Furthermore, (23) stands for the ramp rate constraint of DGs.…”

Section: Distributed Generation Constraintsmentioning

confidence: 99%

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Tie‐line planning for resilience enhancement in unbalanced distribution networks

Taheri

Safdarian

2021

IET Generation Trans & Dist

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Over the past decades, there has been a dramatic increase in the frequency of natural disasters, which are the leading causes of large-scale power outages. This paper, therefore, assesses the significance and role of optimal tie-line construction in improving the service restoration performance of unbalanced power distribution systems in the aftermath of high-impact low-probability incidents. In doing so, a restoration process aware stochastic mixed-integer linear programming model is developed to find the optimal locations for new tie-line construction in unbalanced three-phase distribution systems. In particular, the restoration process of distribution systems, including the fault isolation and system reconfiguration, is contemplated to place tie-lines in the most proper locations to enhance the manoeuvring capability of distribution systems and reducing the customer interruption time. Furthermore, the model is a stochastic one wherein uncertainty associated with potential damages alongside demand uncertainty is captured via a set of likely scenarios. To validate the effectiveness of the proposed stochastic mixed-integer linear programming model, it is tested and verified on the IEEE 13-and 123-bus test systems.

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Section: Distributed Generation Constraintsmentioning

confidence: 99%

“…Therefore, the system operator can reconfigure the system and supply the customers through more reliable paths [20,21]. In [22], the authors have proposed a resilience-oriented DS reconfiguration and repair sequence optimization algorithm. Also, a new mechanism is introduced to quantify recovery agility.…”

Section: Introductionmentioning

confidence: 99%

Tie‐line planning for resilience enhancement in unbalanced distribution networks

Taheri

Safdarian

2021

IET Generation Trans & Dist

Self Cite

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“…In [10], a multi-objective dispatching strategy was optimized to improve the active disaster prevention ability of microgrids before typhoon occurs. For the stage after a typhoon occurs, a post-disaster system recovery strategy for the distribution network was proposed in [11]. By dividing multiple radial distribution systems which were powered by distributed generation in real-time dispatching, critical load recovery after a power failure was realized.…”

Section: Research Status About Dispatching Strategies For Power Systems To Deal With Typhoonmentioning

confidence: 99%

“…The definition of CVaR refers to the average loss value in a certain investment cycle when the risk loss of the portfolio is higher than the VaR value under a given confidence level [44]. The CVaR value can be expressed by Equation (11).…”

Section: Scenario Reduction Considering Uncertainty and Volatility Of Wind Powermentioning

confidence: 99%

Optimal Coordinated Dispatching Strategy of Multi-Sources Power System with Wind, Hydro and Thermal Power Based on CVaR in Typhoon Environment

Qian¹,

Chen²,

Chen

et al. 2021

Energies

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Typhoons and other natural disasters affect the normal operation of power systems thus it is an important goal for strong and intelligent power grid construction to improve the ability of power systems to resist typhoons and other natural disasters. Especially, an effective coordinated and optimized dispatching strategy for a multi-source power system is greatly helpful to cope with the impact of typhoons and other natural disasters on power system operation. Given this background, a typhoon wind circle model considering the temporal and spatial distribution of typhoons is established to obtain the input wind speed of the wind farm at first. Second, based on the initial input wind speed of wind farms, a typical scenario set of wind power output is constructed to reflect its fluctuation and uncertainty. Next, an optimal coordinated dispatching model of a multi-source power system with wind, hydro and thermal power based on the conditional value at risk (CVaR) is established with the target of minimizing the total cost of system dispatching, in which a 72 h pre-dispatching mode is studied to optimize the system operation for 72 h on the day before, on and after the typhoon. Finally, a revised 24-node transmission network system in a coastal area with typhoon is served as a case for demonstrating the effectiveness of the proposed model, and the simulation result shows that the proposed model could take the advantages of the coordination and complementarity of multi-sources power system and decrease the total cost of system dispatching and improve the renewable energy consumption level.

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“…The former class consisting of hardening lines [7], near‐line vegetation management [8], installing storage [9] etc., are more effective but costly. On the other hand, operation‐oriented actions include defensive islanding [10], proactive microgrid management [11], medium voltage island formation [12], and distribution system reconfiguration [13].…”

Section: Introductionmentioning

confidence: 99%

Budget‐constrained drone allocation for distribution system damage assessment

et al. 2021

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Natural disasters threaten the sustainability of electric power supply. This fact highlights the importance of enhancing technological resourcefulness to handle the upcoming events. Once a natural disaster occurs, the most urgent undertaking is to rapidly pinpoint and assess component damages and dispatch the repair crews towards the most critical impaired elements. Practical efforts confirm that utilising a drone, which is an unmanned aerial vehicle, can notably reduce the duration of post-disaster distribution system damage assessment (DA) and increase the resilience of power systems. This study presents an optimisation model to determine the optimal number and type of drones required for DA. The main goal is to minimise the time duration of the DA mission, which includes scanning the grid and identifying the damaged components. As a matter of fact, the financial resources are limited, so the problem is subject to the available budget constraint. Besides, the technical capacity of purchased drones for inspecting the grid is considered. The optimisation problem is formulated as a mixed-integer programme with a guaranteed optimum solution. Case studies confirm the applicability of the model and the optimality of the results. As the major conclusion, the best allocation is a compromise between the speed and price of drones.

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Modeling and Optimizing Recovery Strategies for Power Distribution System Resilience

Cited by 36 publications

References 20 publications

Tie‐line planning for resilience enhancement in unbalanced distribution networks

Tie‐line planning for resilience enhancement in unbalanced distribution networks

Optimal Coordinated Dispatching Strategy of Multi-Sources Power System with Wind, Hydro and Thermal Power Based on CVaR in Typhoon Environment

Budget‐constrained drone allocation for distribution system damage assessment

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