Probabilistic Available Transfer Capability Evaluation Considering Dynamic Line Rating Based on a Sequential Game-Theoretic Approach

Madadi, Sajad; Mohammadi‐Ivatloo, Behnam; Tohidi, Sajjad

doi:10.1109/jsyst.2021.3060286

Cited by 10 publications

(5 citation statements)

References 32 publications

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“…Constraint (9) represents the output limit of the generator i at time t, indicating that the active output of the generator i at time t should be between its upper and lower limits. Constraint (10) represents the ramping down and ramping up constraints per unit time of the generator i, respectively.…”

Section: Baseline Casementioning

confidence: 99%

“…As a result, the ATC of interareas tie lines can be uncertain and difcult to obtain. Regarding the uncertainty of renewable power generation and load demand, researchers have proposed methods based on robust optimization [10], interval optimization [11], and optimization including chance constraints [12]. Considering the uncertainty of wind farm output and load demand, a robust ATC evaluation model was proposed, which included a master problem of determining total transfer capability and two subproblems of solving capacity beneft margin (CBM) and transmission reliability margin (TRM).…”

Section: Introductionmentioning

confidence: 99%

“…Considering the uncertainty of wind farm output and load demand, a robust ATC evaluation model was proposed, which included a master problem of determining total transfer capability and two subproblems of solving capacity beneft margin (CBM) and transmission reliability margin (TRM). In comparison, the authors of [10] propose a robust ATC evaluation model considering reliability marginal terms with a focus on the impact of dynamic line rating (DLR) instruments on ATC. An interval optimizationbased model was proposed for ATC evaluation, which considers the range of uncertain variables [11].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Available Transfer Capability Assessment of Multiarea Power Systems with Conditional Generative Adversarial Network

Meng,

Zhang,

Tian

et al. 2024

International Transactions on Electrical Energy Systems

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Available transfer capability (ATC) is an important measurement index to evaluate the security margin of interconnected power grids and serve as a reference for the transmission right transaction. In modern power systems, ATC is affected by the transmission network topology, renewable power output uncertainty, and load demand uncertainty. Traditional works usually model the power source-load uncertainty by using robust optimization, interval optimization, or chance-constraint optimization, which cannot fully reflect the probabilistic distribution of the daily source-load uncertainty. This paper proposes an ATC assessment methodology based on the typical stochastic scenarios of renewable output and load demand of multiarea power systems. Furthermore, the conditional generative adversarial network (CGAN) algorithm is adopted to generate and select representative scenario sets based on historical raw data, which can fully reflect the usual operating condition of a system with high renewable energy penetration. The scenario set that is fed into the ATC assessment model can fully characterize the impact of source-load uncertainty on daily ATC. Finally, the proposed method is verified by a modified three-area IEEE 9-bus system and a real-world provincial power system.

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Section: Baseline Casementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Available Transfer Capability Assessment of Multiarea Power Systems with Conditional Generative Adversarial Network

Meng,

Zhang,

Tian

et al. 2024

International Transactions on Electrical Energy Systems

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“…Its purpose is to provide up-to-date information about the actual thermal line rating on a continuous basis [61]. As a result, the network operator can have a better insight into the actual line rating using various methodologies [62][63][64][65]. This rating depending on weather conditions can be higher or lower than the static line rating [66].…”

Section: Dynamic Line Ratingmentioning

confidence: 99%

Modelling Smart Grid Technologies in Optimisation Problems for Electricity Grids

et al. 2023

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The decarbonisation of the electricity grid is expected to create new electricity flows. As a result, it may require that network planners make a significant amount of investments in the electricity grids over the coming decades so as to allow the accommodation of these new flows in a way that both the thermal and voltage network constraints are respected. These investments may include a portfolio of infrastructure assets consisting of traditional technologies and smart grid technologies. One associated key challenge is the presence of uncertainty around the location, the timing, and the amount of new demand or generation connections. This uncertainty unavoidably introduces risk into the investment decision-making process as it may lead to inefficient investments and inevitably give rise to excessive investment costs. Smart grid technologies have properties that enable them to be regarded as investment options, which can allow network planners to hedge against the aforementioned uncertainty. This paper focuses on key smart technologies by providing a critical literature review and presenting the latest mathematical modelling that describes their operation.

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“…In recent years, an increasing number of researchers have studied the problem of network security with game theory [25][26][27][28]. During the process of malware infection in HECWSNs, to defend against malware, HECWSNs use a deployed intrusion detection system (IDS) in the system of HSNs to detect malware with a certain probability [29].…”

Section: Introductionmentioning

confidence: 99%

Steady-State Availability Evaluation for Heterogeneous Edge Computing-Enabled WSNs with Malware Infections

Zhang

Yang

et al. 2022

Mobile Information Systems

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To evaluate the steady-state availability of heterogeneous edge computing-enabled wireless sensor networks (HECWSNs) with malware infections, we first propose a Stackelberg attack-defence game to predict the optimal strategies of malware and intrusion detection systems (IDSs) deployed in heterogeneous sensor nodes (HSNs). Next, we present a new malware infection model—heterogeneous susceptible-threatened-active-recovered-dead (HSTARD) based on epidemic theory. Then, considering the heterogeneity of sink sensor nodes and common sensor nodes and the malware attack correlation, we derive the state transition probability matrix of an HSN based on a semi-Markov process (SMP), as well as the steady-state availability of an HSN. Furthermore, based on a data flow analysis of HSNs, we deduce the steady-state availability of HECWSNs with various topologies, including the star topology, cluster topology, and mesh topology. Finally, numerical analyses illustrate the influence of the IDS parameters on the optimal infection probability of malware and reveal the effect of multiple factors on the steady-state availability of HSNs, including the initial infection rate, the infection change rate, and the malware attack correlation. In addition, we present data analyses of the steady-state availability of HECWSNs with various topologies, including the star topology, cluster topology, and mesh topology, which provide a theoretical basis for the design, deployment, and maintenance of high-availability HECWSNs.

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Probabilistic Available Transfer Capability Evaluation Considering Dynamic Line Rating Based on a Sequential Game-Theoretic Approach

Cited by 10 publications

References 32 publications

Available Transfer Capability Assessment of Multiarea Power Systems with Conditional Generative Adversarial Network

Available Transfer Capability Assessment of Multiarea Power Systems with Conditional Generative Adversarial Network

Modelling Smart Grid Technologies in Optimisation Problems for Electricity Grids

Steady-State Availability Evaluation for Heterogeneous Edge Computing-Enabled WSNs with Malware Infections

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