Day-ahead corrective transmission topology control

Khorsand, Mojdeh; Hedman, Kory W.

doi:10.1109/pesgm.2014.6939503

Cited by 10 publications

(4 citation statements)

References 23 publications

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“…For comparison, the example on the IEEE 118-bus power system is tested by the proposed partition strategy based on the voltage changes in (18), (19) and the method M3. The day-ahead curves of wind power stations WT1-WT3 and PV power stations PV1-PV3 are shown in Fig.…”

Section: Comparison With Partition Methods Based On Net Loadmentioning

confidence: 99%

“…For example, a day-ahead scheduling model while considering transmission switching is proposed to restrict short-circuit current and minimize system operation cost [18]. In [19], the corrective NTO with contingency is presented to reduce the number of cases with constraint violations and improve the reserve deliverability. An optimal operational scheduling framework with the NTO is proposed to minimize the day-ahead total operation costs in the distribution management system [20].…”

Section: Introductionmentioning

confidence: 99%

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Day-ahead Voltage-stability-constrained Network Topology Optimization with Uncertainties

Guo,

Wang,

Jiao

et al. 2024

Journal of Modern Power Systems and Clean Energy

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A day-ahead voltage-stability-constrained network topology optimization (DVNTO) problem is proposed to find the day-ahead topology schemes with the minimum number of operations (including line switching and bus-bar splitting) while ensuring the sufficient hourly voltage stability margin and the engineering operation requirement of power systems. The AC continuation power flow and the uncertainty from both renewable energy sources and loads are incorporated into the formulation. The proposed DVNTO problem is a stochastic, largescale, nonlinear integer programming problem. To solve it tractably, a tailored three-stage solution methodology, including a scenario generation and reduction stage, a dynamic period partition stage, and a topology identification stage, is presented. First, to address the challenges posed by uncertainties, a novel problem-specified scenario reduction process is proposed to obtain the representative scenarios. Then, to obtain the minimum number of necessary operations to alter the network topologies for the next 24-hour horizon, a dynamic period partition strategy is presented to partition the hours into several periods according to the hourly voltage information based on the voltage stability problem. Finally, a topology identification stage is performed to identify the final network topology scheme. The effectiveness and robustness of the proposed three-stage solution methodology under different loading conditions and the effectiveness of the proposed partition strategy are evaluated on the IEEE 118-bus and 3120-bus power systems.

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Section: Comparison With Partition Methods Based On Net Loadmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Day-ahead Voltage-stability-constrained Network Topology Optimization with Uncertainties

Guo,

Wang,

Jiao

et al. 2024

Journal of Modern Power Systems and Clean Energy

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“… Transmission switching (TS) to enhance deliverability of reserves. Corrective transmission switching (CTS) is shown to be a viable solution [8]- [10] for handling contingencies, which is also significantly cheaper than its alternatives. CTS is already being used in normal and post-contingency operation, though to a very limited extent, at PJM [11].…”

Section: Introductionmentioning

confidence: 99%

Real-time contingency analysis with corrective transmission switching

Balasubramanian

Sahraei-Ardakani

et al. 2017

2017 IEEE Power &Amp; Energy Society General Meeting

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Transmission switching (TS) has gained significant attention recently. However, barriers still remain and must be overcome before the technology can be adopted by the industry. The state of the art challenges include AC feasibility and performance, computational complexity, the ability to handle largescale real power systems, and dynamic stability. This two-part paper investigates these challenges by developing an AC TSbased real-time contingency analysis (RTCA) tool that can handle large-scale systems within a reasonable time. The tool proposes multiple corrective switching actions, after detection of a contingency with potential violations. To reduce the computational complexity, three heuristic algorithms are proposed to generate a small set of candidates for switching. Parallel computing is implemented to further speed up the solution time. Furthermore, stability analysis is performed to check for dynamic stability of proposed TS solutions. Part I of the paper presents a comprehensive literature review and the methodology. The promising results, tested on the Tennessee Valley Authority (TVA) system and actual energy management system (EMS) snapshots from Pennsylvania New Jersey Maryland (PJM) and the Electric Reliability Council of Texas (ERCOT), are presented in Part II. It is concluded that RTCA with corrective TS significantly reduces potential post-contingency violations and is ripe for industry adoption.

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“…A day-ahead corrective transmission topology control incorporated with the contingency analysis is presented in [18]. Real-time contingency analysis with transmission switching to improve the system reliability in emergency scenarios is suggested in [19] and successfully implemented using actual power system data.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Decision Making for the Bulk Power System Optimal Topology Control

Dehghanian

Kezunovic

2016

IEEE Trans. Smart Grid

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Power system topology control through transmission line switching for economic gains and reliability benefits has been recently considered in day to day operations. This paper introduces a probabilistic formulation for a more efficient application of topology control strategies in real world scenarios with anticipated increase in the presence of highly variable renewable generation and uncertain loads. Such uncertainties are modeled via the Point Estimation Method (PEM) embedded into the DC optimal power flow (DCOPF)-based formulations for optimal switching solutions. Hourly and daily advantages of the proposed probabilistic framework, compared to the conventional operations and deterministic formulations, are discussed. As the anticipated economic gains would increase through sequential implementation of several switching actions, a new probabilistic decision making approach to identify the optimal number of switching actions at each hour is also proposed. This decision support tool uses the probabilistic reliability cost/value analytics in which not only the financial benefits, but also the costs of reliability risks are taken into account. The approach is tested through various scenarios on the modified IEEE 118-bus test system, with and without renewables integration, and the results revealed its applicability and efficiency.

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Day-ahead corrective transmission topology control

Cited by 10 publications

References 23 publications

Day-ahead Voltage-stability-constrained Network Topology Optimization with Uncertainties

Day-ahead Voltage-stability-constrained Network Topology Optimization with Uncertainties

Real-time contingency analysis with corrective transmission switching

Probabilistic Decision Making for the Bulk Power System Optimal Topology Control

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