Robust Line Hardening Strategies for Improving the Resilience of Distribution Systems With Variable Renewable Resources

Wang, Xu; Li, Zhiyi; Shahidehpour, Mohammad; Jiang, Chuanwen

doi:10.1109/tste.2017.2788041

Cited by 146 publications

(77 citation statements)

References 31 publications

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“…21 For the possible N-k contingencies scenario, with the increase of system size, the computational difficulty is very complex. 26,27 Therefore, a simplified N-k contingencies method on the basis of generalized nodes (GN) is proposed.…”

Section: A Simplified Methods Of Network Topology On the Basis Of Gementioning

confidence: 99%

A novel planning‐attack‐reconfiguration method for enhancing resilience of distribution systems considering the whole process of resiliency

Wang

et al. 2019

Int Trans Electr Energ Syst

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Summary To enhance the resilience of distribution systems and fight against extreme disasters, a novel planning‐attack‐reconfiguration optimization method is proposed in this paper. Firstly, according to the processes of prevention, defence, and restoration for a resilient distribution system through disruption, the novel resilience evaluation indicators are presented, which include the node degree of distributed generation (DG) bus, survival rate, and recovery ability. Secondly, a novel planning‐attack‐reconfiguration optimization model is developed to improve the resilience of distribution systems. In DG planning stage, the multi‐objective planning model is formulated, which includes the minimization of the total cost of investment and operation, and the maximization of the node degree of DG buses for critical loads. In the attack stage, a clear worst case of N‐k contingencies on the basis of generalized nodes is presented to reduce the computational complexity. Then, the post‐disaster network reconfiguration model is formulated to maximize the restoration rate of critical loads (RRCL). Finally, the proposed method is illustrated by the case study on PG&E 69‐bus distribution system. The simulation results indicate that all the RRCL can reach about 90% in the four multipoint fault scenarios. Meanwhile, other evaluation indicators are greatly improved. It is shown that the resilience of distribution systems can be dramatically enhanced by the proposed method.

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Section: A Simplified Methods Of Network Topology On the Basis Of Gementioning

confidence: 99%

A novel planning‐attack‐reconfiguration method for enhancing resilience of distribution systems considering the whole process of resiliency

Wang

et al. 2019

Int Trans Electr Energ Syst

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“…To make optimal decisions in the presence of uncertainties and tackle the uncertainties in electricity markets, two-stage stochastic programming is widely used [1,5,11,[15][16][17][18]. First stage decisions, which are also known as ''here-and-now decisions'', are made before the wind generation is realized.…”

Section: Turkish Electricity Marketmentioning

confidence: 99%

“…Since it is assumed that generation company degrades the system balance for all hours, constraint on imbalance prices can be summarized as in (17).…”

Section: ) When Generation Company's Real-time Generation Ismentioning

confidence: 99%

CVaR-based stochastic wind-thermal generation coordination for Turkish electricity market

Aydoğdu

Tör

Güven

2018

J. Mod. Power Syst. Clean Energy

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Uncertainties in wind power forecast, day-ahead and imbalance prices for the next day possess a great deal of risk for the profit of generation companies participating in a day-ahead electricity market. Generation companies are exposed to imbalance penalties in the balancing market for unordered mismatches between associated day-ahead power schedule and real-time generation. Coordination of wind and thermal power plants alleviates the risks raised from wind uncertainties. This paper proposes a novel optimal coordination strategy by balancing wind power forecast deviations with thermal units in the Turkish dayahead electricity market. The main focus of this study is to provide an optimal trade-off between the expected profit and the risk under wind uncertainty through conditional value at risk (CVaR) methodology. Coordination problem is formulated as a two-stage mixed-integer stochastic programming problem, where scenario-based wind power approach is used to handle the stochasticity of the wind power. Dynamic programming approach is utilized to attain the commitment status of thermal units. Profitability of the coordination with different day-ahead bidding strategies and trade-off between expected profit and CVaR are examined with comparative scenario studies.

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“…In particular, due to strong wind gusts and the possibility of flood, multiple distribution lines may also be damaged and a quick assessment of the grid resilience against the threat of spatiotemporal hurricane-induced outage becomes an emergent task of the DSO. Using long-term hurricane impact models, different resilience enhancement based distribution network expansion strategies such as hardening distribution lines [18,19] or placements of distributed energy resources (DERs) have been proposed. Moreover, as mentioned above, the linearized DistFlow model employed in [18,19] might be not accurate to efficiently assess the impacts of hurricaneinduced outages on the operation of distribution networks.…”

Section: Introductionmentioning

confidence: 99%

“…Using long-term hurricane impact models, different resilience enhancement based distribution network expansion strategies such as hardening distribution lines [18,19] or placements of distributed energy resources (DERs) have been proposed. Moreover, as mentioned above, the linearized DistFlow model employed in [18,19] might be not accurate to efficiently assess the impacts of hurricaneinduced outages on the operation of distribution networks. The resource preparation planning for grid resilience enhancement, such as preparing energy storage units, distributed generators, and crew prepositions, is studied in [20].…”

Section: Introductionmentioning

confidence: 99%

Assessing impacts of energy storage on resilience of distribution systems against hurricanes

Nguyen

Muhs

Parvania

2019

J. Mod. Power Syst. Clean Energy

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This paper develops a comprehensive framework to analyze the impact of energy storage on improving the resilience of distribution systems against hurricanes. This paper first develops a spatio-temporal model of progressing hurricane when making landfall that can be used to anticipate outage scenarios caused by the gust-wind speed. An optimization model is then developed for optimizing the operation of distribution systems during hurricane that captures both pre-outage and post-outage network operation constraints. Numerical simulations are performed on the modified IEEE 33-bus distribution system with real hurricane data in Houston to demonstrate the effectiveness of the proposed model.

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Robust Line Hardening Strategies for Improving the Resilience of Distribution Systems With Variable Renewable Resources

Cited by 146 publications

References 31 publications

A novel planning‐attack‐reconfiguration method for enhancing resilience of distribution systems considering the whole process of resiliency

A novel planning‐attack‐reconfiguration method for enhancing resilience of distribution systems considering the whole process of resiliency

CVaR-based stochastic wind-thermal generation coordination for Turkish electricity market

Assessing impacts of energy storage on resilience of distribution systems against hurricanes

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