Metrics and enhancement strategies for grid resilience and reliability during natural disasters

Hossain, Eklas; Roy, Shidhartho; Mohammad, Naeem; Nawar, Nafiu; Dipta, Debopriya Roy

doi:10.1016/j.apenergy.2021.116709

Cited by 144 publications

(62 citation statements)

References 105 publications

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“…Simultaneous non-charging and discharging in PEV batteries are shown according to Eq. (53). It should be noted that this operation takes place during the hours of the day when the PEVs are not traveling according to its travel pattern, and otherwise, the charging and discharging operation that requires a connection to the network is not performed, which is the Eq.…”

Section: ) Plug-in Electric Vehicle (Pev)mentioning

confidence: 99%

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Resilience Improvement of Distribution Networks Using a Two-Stage Stochastic Multi-Objective Programming via Microgrids Optimal Performance

2021

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Dealing with major power disruption during natural disasters is one of the most notable concerns in power systems. Due to renewable energy penetration and distributed generation resources in microgrids, they are considered as a potential solution to cope with severe events. Therefore, the application of microgrids in increasing and sustaining the distribution system resilience is considered. Furthermore, this purpose is pursued while maintaining the resilience of each DC microgrid connected to the distribution system, which is an essential and challenging issue. In the proposed method of this paper, a novel modeling strategy is formulated as a multi-period two-stage scenario-based stochastic mixed-integer linear programming (MPTSS-MILP) based on a multi-objective optimization problem (MOOP). In this framework, the operation associated with emergency and normal conditions, according to the influences of each situation on another one, is managed in multi-microgrids coordinately. In this regard, the technical constraints correlated to the operation of microgrids as well as the distribution system are satisfied simultaneously in specific to each condition which covers normal and critical operating under all uncertainty scenarios. Through introducing two evaluation criteria and also a resilience metric in microgrids and distribution systems, the efficiency of the proposed method is demonstrated. Meanwhile, innovative modeling is executed based on the subjective behavior of people affected by the disaster. Because the behavior of electricity consumers is one of the deciding factors in system management. The proposed scheme is implemented on a test system that involves a 34-bus distribution system with three distinct DC microgrids and its effectiveness is authenticated through various case studies.

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Section: ) Plug-in Electric Vehicle (Pev)mentioning

confidence: 99%

“…Grid resilience is an evolving research field hence hitherto the prescribed resilience metrics are new and no standard method has been defined for them. Thus, all resilience metrics are under comprehensive investigation [53]. Eq.…”

Section: ) Resiliency Metric Calculationmentioning

confidence: 99%

Resilience Improvement of Distribution Networks Using a Two-Stage Stochastic Multi-Objective Programming via Microgrids Optimal Performance

2021

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“…Similarly, the increase in power outages due to climate deterioration has accelerated research in this area. Several researchers and decision-makers have indicated that more coordinated studies are needed to improve grid resilience and reliability [16]. Other scholars have suggested that optimal restoration strategies that incorporate resilience indicators are also required [17].…”

Section: Introductionmentioning

confidence: 99%

Integrated Risk Assessment for Robustness Evaluation and Resilience Optimisation of Power Systems after Cascading Failures

Beyza

Yusta

2021

Energies

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Power systems face failures, attacks and natural disasters on a daily basis, making robustness and resilience an important topic. In an electrical network, robustness is a network’s ability to withstand and fully operate under the effects of failures, while resilience is the ability to rapidly recover from such disruptive events and adapt its structure to mitigate the impact of similar events in the future. This paper presents an integrated framework for jointly assessing these concepts using two complementary algorithms. The robustness model, which is based on a cascading failure algorithm, quantifies the degradation of the power network due to a cascading event, incorporating the circuit breaker protection mechanisms of the power lines. The resilience model is posed as a mixed-integer optimisation problem and uses the previous disintegration state to determine both the optimal dispatch and topology at each restoration stage. To demonstrate the applicability of the proposed framework, the IEEE 118-bus test network is used as a case study. Analyses of the impact of variations in both generation and load are provided for 10 simulation scenarios to illustrate different network operating conditions. The results indicate that a network’s recovery could be related to the overload capacity of the power lines. In other words, a power system with high overload capacity can withstand higher operational stresses, which is related to increased robustness and a faster recovery process.

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“…V2H functionality also improves power system resilience factors including load restoration, reactive power supply, and peak reduction, etc. [24][25][26][27][28]. Bidirectional wireless power transfer will further facilitate V2H applications by enabling higher power transfer and easing the barrier to entry for the consumer [29].…”

Section: Introductionmentioning

confidence: 99%

Improving the Power Outage Resilience of Buildings with Solar PV through the Use of Battery Systems and EV Energy Storage

Gong

Ionel

2021

Energies

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Buildings with solar photovoltaic (PV) generation and a stationary battery energy storage system (BESS) may self-sustain an uninterrupted full-level electricity supply during power outages. The duration of off-grid operation is dependent on the time of the power fault and the capabilities of the home energy management system (HEMS). In this paper, building resilience is quantified by analyzing the self-sustainment duration for all possible power outages throughout an entire year. An evaluation method is proposed and exercised on a reference house in California climate zone 9 for which the detailed electricity usage is simulated using the EnergyPlus software. The influence of factors such as energy use behavioral patterns, energy storage capacity from the BESS, and an electric vehicle (EV) battery on the building resilience is evaluated. Varying combinations of energy storage and controllable loads are studied for optimally improved resilience based on user preferences. It is shown that for the target home and region with a solar PV system of 7.2 kW, a BESS with a capacity of 11 kWh, and an EV with a battery of 80 kWh permanently connected to the home, off-grid self-sustained full operation is guaranteed for at least 72 h.

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Metrics and enhancement strategies for grid resilience and reliability during natural disasters

Cited by 144 publications

References 105 publications

Resilience Improvement of Distribution Networks Using a Two-Stage Stochastic Multi-Objective Programming via Microgrids Optimal Performance

Resilience Improvement of Distribution Networks Using a Two-Stage Stochastic Multi-Objective Programming via Microgrids Optimal Performance

Integrated Risk Assessment for Robustness Evaluation and Resilience Optimisation of Power Systems after Cascading Failures

Improving the Power Outage Resilience of Buildings with Solar PV through the Use of Battery Systems and EV Energy Storage

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