Transmission Grid Resiliency Investment Optimization Model With SOCP Recovery Planning

Garifi, Kaitlyn; Johnson, Emma S.; Arguello, Bryan; Pierre, Brian J.

doi:10.1109/tpwrs.2021.3091538

Cited by 16 publications

(7 citation statements)

References 27 publications

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“…In [10], a trilevel planning approach is proposed to expand and harden the coupled power distribution and transportation systems for improved resilience under random natural disasters with minimum investment. In [11], Garifi et al propose a method to harden the power grid structure with minimum investment. The investment decision will improve the grid's recovery against natural disasters.…”

Section: Background and Research Objectivesmentioning

confidence: 99%

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Ecological Robustness-Oriented Grid Network Design for Resilience Against Multiple Hazards

Huang

Mao

Panyam

et al. 2024

IEEE Trans. Power Syst.

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Power systems are critical infrastructure for reliable and secure electric energy delivery. Incidents are increasing, as unexpected multiple hazards ranging from natural disasters to cyberattacks threaten the security and functionality of society. Inspired by resilient ecosystems, this paper presents a resilient network design approach with an ecological robustness (R ECO )oriented optimization to improve power systems' ability to maintain a secure operating state throughout unknown hazards. The approach uses R ECO , a surprisal-based metric that captures key features of an ecosystem's resilient structure, as an objective to strategically design the electrical network. The approach enables solvability and practicality by introducing a stochasticbased candidate branch creation algorithm and a Taylor series expansion for relaxation of the R ECO formulation. Finally, studies are conducted on the R ECO -oriented approach using the IEEE 24 Bus RTS and the ACTIVSg200 systems. Results demonstrate improvement of the system's reliability under multiple hazards, network properties of robust structure and equally distributed power flows, and survivability against cascading failures. From the analysis, we observe that a more redundant network structure with equally distributed power flows benefits its resilience.

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Section: Background and Research Objectivesmentioning

confidence: 99%

“…) By adapting the first order Taylor Series Expansion of Equations (18) and (20) into Equation ( 9) - (11), the formulation of R ECO can keep valid even with flow direction changes during the optimization process. The above formulation requires the input x not equal to -1.…”

Section: Relaxation Of the Ecological Robustness Formulationmentioning

confidence: 99%

Ecological Robustness-Oriented Grid Network Design for Resilience Against Multiple Hazards

Huang

Mao

Panyam

et al. 2024

IEEE Trans. Power Syst.

View full text Add to dashboard Cite

show abstract

“…Therefore, this method is difficult to use in automated process control software systems, which are subjected to rather strict requirements for the memory capacity, as well as the solution speed. Another applied method is the principle of the equality of incremental fuel rates, which also has the disadvantage of calculation difficulties and long convergence of the algorithm with a large expenditure of computer time [37][38][39]. For price formation, the principle of marginal pricing is used.…”

Section: ∂∆P ∂N Imentioning

confidence: 99%

“…For price formation, the principle of marginal pricing is used. In our opinion, this is not an effective method, because the price is formed based on the costs of the least profitable producer, being quite high [39]. In the WUS of Russia, the methodology of compiling the water balance is used for the optimization of its operating modes [34,35].…”

Section: ∂∆P ∂N Imentioning

confidence: 99%

Models of Optimal Operating Modes of the Water-Economic Complex on the Basis of Hydro Resource Price Evaluation

et al. 2022

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The purpose of this article is to solve the problem of determining the cost of a water resource for the participants of thewater-economiccomplex (WEC) on the basis of the optimal control of hydro power plants’ (HPP) functioning, taking into account their regime characteristics and requirements. In this work, a universal method, which combines an optimization method and a method for assessing marginal utility, was proposed to assess the cost of the hydro resource and control the operating modes of the WEC.The method developed by the authors involves the use of water balance, the adequate representation of the incremental rate characteristicand the determination of the cost of the hydro resource for thecontrol of the operating modes of the WEC and HPP. Using the example of the Novosibirsk WEC, as well as HPPs and TPPs,an assessment of theenergy efficiency, proposing the concept of a developed methodology for determining the price of water for HPPs and all participants in the WEC, will be obtained. Based on the results of the implementation of the developed approach at Novosibirsk HPPs, theelectricity sales pricecompetitive electricity market can be matched with the electricity sales price generated at TPP, which will be approximately0.16¢/kW * h.

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“…Research in the past has shown TS as an effective means of reducing line overloads [9], [14], reduction of line losses [9], corrective voltage violations [15], security enhancement [16], and improving economic dispatch [17], [18] using machine learning algorithms [19] and in hydro-electric context [20]. TS based-resiliency model is proposed for extreme weather event scenarios [21]. Stochastic optimal TS model is developed to improve the power system security margins under renewable uncertainties [22].…”

Section: Preliminaries a Transmission Switching (Ts)mentioning

confidence: 99%

Load Shed Recovery With Transmission Switching and Intentional Islanding Methods After (N-2) Line Contingencies

et al. 2022

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Changing power system configuration may result in load shed recovery (LSR) because topology change can provide power flow control in meshed network. Some topologies may favor generation redispatch as compared to others and can eliminate line congestion which leads to LSR. One of the known methods for topology change is called transmission switching (TS) and research conducted in the past showed that TS is an effective means of mitigating load shedding. However, another method of topology control also exits and it is referred as intentional islanding (IIS). In this manuscript, we explore IIS as a potential solution for LSR. IIS based on generator coherency has been presented in literature for mitigating cascading failures. However, IIS has not been explored solely as a LSR mechanism. In this paper, we compare the LSR based on IIS with well known LSR algorithm based on TS. The comparison is performed for IEEE 39-bus system and IEEE 118-bus system. The results show that IIS has a potential to perform better than TS in terms of computational efficiency and LSR.INDEX TERMS Contingency analysis, load shed recovery, intentional islanding, transmission switching, topology control.

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Transmission Grid Resiliency Investment Optimization Model With SOCP Recovery Planning

Abstract: Power flow through line l at time t Notes: We will use the term lines to mean both lines and transformers (which are modeled as a line). Thus, for lines that are not transformers τ l = 1. Additionally, notation not included in this section will be introduced in the text.

Cited by 16 publications

References 27 publications

Ecological Robustness-Oriented Grid Network Design for Resilience Against Multiple Hazards

Ecological Robustness-Oriented Grid Network Design for Resilience Against Multiple Hazards

Models of Optimal Operating Modes of the Water-Economic Complex on the Basis of Hydro Resource Price Evaluation

Load Shed Recovery With Transmission Switching and Intentional Islanding Methods After (N-2) Line Contingencies

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