Optimal Location-Allocation of TCSC Devices on a Transmission Network

Ziaee, Omid; Choobineh, F.

doi:10.1109/tpwrs.2016.2556424

Cited by 63 publications

(37 citation statements)

References 26 publications

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“…The cost is decreased by 5761 $/h with TCSCs. Under the peak load level, the generation cost for contingency (26)(27)(28)(29)(30), (25)(26)(27) and with TCSCs are slightly higher than that without TCSC. Nevertheless, significant load curtailment reductions can be observed for these three contingencies from Fig.…”

Section: B Subproblemmentioning

confidence: 96%

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The allocation of a variable series reactor considering AC constraints and contingencies

Zhang¹,

Xu²,

Shi³

et al. 2019

CSEE JPES

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The Variable Series Reactors (VSRs) can efficiently control the power flow through the adjustment of the line reactance. When they are appropriately allocated in the power network, the transmission congestion and generation cost can be reduced. This paper proposes a planning model to optimally allocate VSRs considering AC constraints and multi-scenarios including base case and contingencies. The planning model is originally a non-convex large scale mixed integer nonlinear program (MINLP), which is generally intractable. The proposed Benders approach decomposes the MINLP model into a mixed integer linear program (MILP) master problem and a number of nonlinear subproblems. Numerical case studies based on IEEE 118-bus demonstrate the high performance of the proposed approach.

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Section: B Subproblemmentioning

confidence: 96%

“…4, it can be seen that the load shedding reductions occur in all the 7 contingencies by installing TCSCs. The load shedding for contingency (15)(16)(17) and (26)(27)(28)(29)(30) are completely eliminated. The largest load shedding reduction is for contingency , the amount of the load curtailment decreases from 73.05 MW to 35.35 MW.…”

Section: B Subproblemmentioning

confidence: 99%

The allocation of a variable series reactor considering AC constraints and contingencies

Zhang¹,

Xu²,

Shi³

et al. 2019

CSEE JPES

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show abstract

“…Flexible AC transmission system (FACTS) devices are modern power flow control equipment used in transmission systems (TS). OSs in [88][89][90][91][92] maximize the transmission capacity of TS's power lines by changing the FACTS settings. An OS in [93] determines the locations in the TS where it would be optimal to install FACTS to optimize the TS power flows while there are many wind turbines connected to the TS.…”

Section: Ps Oss Controlling a Special Ps Action Hardwarementioning

confidence: 99%

Review of Trends and Targets of Complex Systems for Power System Optimization

Vysocky

Mišák

2020

Energies

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Optimization systems (OSs) allow operators of electrical power systems (PS) to optimally operate PSs and to also create optimal PS development plans. The inclusion of OSs in the PS is a big trend nowadays, and the demand for PS optimization tools and PS-OSs experts is growing. The aim of this review is to define the current dynamics and trends in PS optimization research and to present several papers that clearly and comprehensively describe PS OSs with characteristics corresponding to the identified current main trends in this research area. The current dynamics and trends of the research area were defined on the basis of the results of an analysis of the database of 255 PS-OS-presenting papers published from December 2015 to July 2019. Eleven main characteristics of the current PS OSs were identified. The results of the statistical analyses give four characteristics of PS OSs which are currently the most frequently presented in research papers: OSs for minimizing the price of electricity/OSs reducing PS operation costs, OSs for optimizing the operation of renewable energy sources, OSs for regulating the power consumption during the optimization process, and OSs for regulating the energy storage systems operation during the optimization process. Finally, individual identified characteristics of the current PS OSs are briefly described. In the analysis, all PS OSs presented in the observed time period were analyzed regardless of the part of the PS for which the operation was optimized by the PS OS, the voltage level of the optimized PS part, or the optimization goal of the PS OS.

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“…On the other hand, apart from resiliency-oriented studies, FACTS devices have been extensively applied for power flow control by taking advantage of recent power electronics progress and FACTS devices oriented studies in literature. Different objectives have been considered for FACTS placement, such as stability improvement, voltage deviation reduction [7], voltage unbalance improvement [8], loss minimization [9], congestion reduction [10], and high renewable penetration enabling [11].…”

Section: Relevant Backgroundmentioning

confidence: 99%

Bi-Objective Optimization Model for Optimal Placement of Thyristor-Controlled Series Compensator Devices

et al. 2019

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Exposure to extreme weather conditions increases power systems’ vulnerability in front of high impact, low probability contingency occurrence. In the post-restructuring years, due to the increasing demand for energy, competition between electricity market players and increasing penetration of renewable resources, the provision of effective resiliency-based approaches has received more attention. In this paper, as the major contribution to current literature, a novel approach is proposed for resiliency improvement in a way that enables power system planners to manage several resilience metrics efficiently in a bi-objective optimization planning model simultaneously. For demonstration purposes, the proposed method is applied for optimal placement of the thyristor controlled series compensator (TCSC). Improvement of all considered resilience metrics regardless of their amount in a multi-criteria decision-making framework is novel in comparison to the other previous TCSC placement approaches. Without loss of generality, the developed resiliency improvement approach is applicable in any power system planning and operation problem. The simulation results on IEEE 30-bus and 118-bus test systems confirm the practicality and effectiveness of the developed approach. Simulation results show that by considering resilience metrics, the performance index, importance of curtailed consumers, congestion management cost, number of curtailed consumers, and amount of load loss are improved by 0.63%, 43.52%, 65.19%, 85.93%, and 85.94%, respectively.

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Optimal Location-Allocation of TCSC Devices on a Transmission Network

Cited by 63 publications

References 26 publications

The allocation of a variable series reactor considering AC constraints and contingencies

The allocation of a variable series reactor considering AC constraints and contingencies

Review of Trends and Targets of Complex Systems for Power System Optimization

Bi-Objective Optimization Model for Optimal Placement of Thyristor-Controlled Series Compensator Devices

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