Integrated Planning of Electricity and Natural Gas Transportation Systems for Enhancing the Power Grid Resilience

Shao, Chengcheng; Shahidehpour, Mohammad; Wang, Xifan; Wang, Xiuli; Wang, Biyang

doi:10.1109/tpwrs.2017.2672728

Cited by 239 publications

(131 citation statements)

References 18 publications

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“…In the reconfiguration stage of resilience enhancement for distribution system, the objective function is formulated to maximize the RRL and RRCL, as shown in Equation (20).…”

Section: Objective Function Of Reconfiguration Modelmentioning

confidence: 99%

“…[10][11][12][13] The other are the methods and measures to enhance the resilience of power systems, mainly focusing on the three stages of the function curve, which include the prevention, defence, and restoration. 2,5,[14][15][16][17][18][19][20][21] The enhancing measures include grid hardening, resource allocations, and network reconfiguration, which are conducive to enhance the resilience of power systems. Grid hardening is considered to be one of the most effective approaches that can increase the resilience of power grids.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The work in Rahimi and Davoudi et al 19 develops a method for hybrid electric vehicles to improve the resilience of distribution systems, while electric vehicles could only be used as an emergency standby power supply, and are not suitable for long-term and large-area blackouts. In Shao et al, 20 a joint planning model of the transmission systems and natural gas transmission systems to improve the resilience of the transmission networks under extreme weather conditions is proposed. In Pooria et al, 21 utilizing the existing network structure, an effective recovery strategy on the basis of network reconfiguration is proposed.…”

Section: Literature Reviewmentioning

confidence: 99%

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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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“…In the reconfiguration stage of resilience enhancement for distribution system, the objective function is formulated to maximize the RRL and RRCL, as shown in Equation (20).…”

Section: Objective Function Of Reconfiguration Modelmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

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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“…Pino et al (2016) proposed a resilience metric for gas distribution networks to compare the effects of different pipeline upgrading plans. Shao et al (2017) proposed an integrated electricity and natural gas transportation system planning algorithm by replacing segments of power grids with underground gas pipelines. Zlotnik et al (2017) presented a framework for day-ahead scheduling of coupled electric power and natural gas infrastructure for different coordination scenarios and different operational methods of gas compressors.…”

Section: Energy Systemsmentioning

confidence: 99%

System resilience enhancement: Smart grid and beyond

Huang¹,

Wang²,

Chen³

et al. 2017

Front. Eng

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Boosting the resilience of power systems is a core requirement of smart grids. In fact, resilience enhancement is crucial to all critical infrastructure systems. In this study, we review the current research on system resilience enhancement within and beyond smart grids. In addition, we elaborate on resilience definition and resilience quantification and discuss several challenges and opportunities for system resilience enhancement. This study aims to deepen our understanding of the concept of resilience and develop a wide perspective on enhancing the system resilience for critical infrastructures.

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“…As one of the most important analytical tools for IENGS, energy flow analysis lays the foundation of the optimal operation [2][3][4][5][6], planning [7][8][9][10], energy market [11], and optimal scheduling [12] of the IENGS. There are some studies focused on energy flow analysis with different energy coupling links.…”

Section: Introductionmentioning

confidence: 99%

Interval Energy Flow Analysis in Integrated Electrical and Natural-Gas Systems Considering Uncertainties

Wang

Yuan

2019

Energies

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As integrated electrical and natural-gas systems (IENGS) are popularized, the uncertainties brought by variation of electrical load, power generation, and gas load should not be ignored. The aim of this paper is to analyze the impact of those uncertain variables on the steady-state operation of the whole systems. In this paper, an interval energy flow model considering uncertainties was built based on the steady-state energy flow. Then, the Krawczyk-Moore interval iterative method was used to solve the proposed model. To obtain precise results of the interval model, interval addition and subtraction operations were performed by affine mathematics. The case study demonstrated the effectiveness of the proposed approach compared with Monte Carlo simulation. Impacts of uncertainties brought by the variation of electrical load, power generation, and gas load were analyzed, and the convergence of energy flow under different uncertainty levels of electrical load was studied. The results led to the conclusion that each kind of uncertainties would have an impact on the whole system. The proposed method could provide good insights into the operating of IENGS with those uncertainties. gas (P2G) and gas-fired power generation in the IENGS in Ref. [16]. Since the turboexpander is also commonly used to strongly link the electrical and gas networks, Ref. [17] investigates operational parameters of natural-gas regulation stations (GRS), which influence the efficiency of the gas expansion process and determine selection criteria for a cost-effective application of turboexpanders at selected GRS. The turboexpander has been combined in a CHP plant that supplies a district heating network, in order to save energy and reduce CO 2 emissions by means of smart systems integration in Ref. [18]. The steady-state energy flow considering time-scale characteristics has also been analyzed [19][20][21][22]. A multitemporal simulation model is presented to carry out integrated analysis of electricity, heat, and gas distribution networks, with specific applications to multivector district energy systems in Ref. [19]. A modified teaching-learning-based optimization algorithm is utilized to solve the multiperiod optimal energy flow of multicarrier energy networks in Ref. [20]. Ref.[21] proposes a quasi-steady multienergy flow model and calculates the energy flow of electricity and heating systems considering the time-scale characteristics. An integrated simulation model has been proposed considering the impacts of interdependencies between electricity and natural-gas systems in terms of security of energy supply in Ref. [22].However, the uncertainties of IENGS are not considered in the above references. There are some papers considering the effect of uncertainties and disturbances in Model Predictive Control (MPC) [23], DC microgrid [24], damping the power swings [25], and optimal power flow [26]. Actually, there exist some kinds of uncertain factors in the operating IENGS, such as power load, gas load, and power generation. A probabilistic energy...

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Integrated Planning of Electricity and Natural Gas Transportation Systems for Enhancing the Power Grid Resilience

Cited by 239 publications

References 18 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

System resilience enhancement: Smart grid and beyond

Interval Energy Flow Analysis in Integrated Electrical and Natural-Gas Systems Considering Uncertainties

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