A Multi-Objective Optimization Approach for Corrective Switching of Transmission Systems in Emergency Scenarios

Xu, Xin; Cao, Yongji; Zhang, Hengxu; Ma, Shiying; Song, Yunting; Chen, Dezhi

doi:10.3390/en10081204

Cited by 16 publications

(5 citation statements)

References 33 publications

(21 reference statements)

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“…where c w is the weighting coefficient. Besides, the weighting coefficient cw measures the preference of the decision maker on the optimization objectives, and can be determined by the Delphi method [32].…”

Section: Solution Methods For Bess Planningmentioning

confidence: 99%

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Chance-Constrained Optimal Configuration of BESS Considering Uncertain Power Fluctuation and Frequency Deviation Under Contingency

Cao

Zhang

et al. 2022

IEEE Trans. Sustain. Energy

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With the accelerating integration of variable renewable energies (VREs), power systems become more vulnerable to active power disturbances, and more drastic frequency dynamics emerge. The battery energy storage system (BESS) is able to handle the uncertainties of VREs, and the decreasing system inertia and frequency regulation capability. This paper proposes a chance-constrained optimal configuration scheme for the BESS to maintain both the uncertain power fluctuations and frequency deviation within predefined limits. First, the required frequency regulation capability of the BESS constrained by the maximum transient frequency deviation (MTFD) and quasi-steady-state frequency deviation (QSSFD) is estimated. Then, the kernel density estimation method is utilized to model the net power fluctuations of VREs and load. A multiobjective chance-constrained programming model accounting for the life cycle cost, energy arbitrage, uncertain power fluctuation, MTFD, and QSSFD is established to optimize the capacity of the BESS. Furthermore, the Bernstein approximation is utilized to process the chance constraint, and transform the optimization model into a deterministic form. Based on the linear weighted method and Benders decomposition, the optimization model is solved through alternating iteration. Case studies were conducted to validate the proposed scheme, showing superior performance in smoothing uncertain power fluctuations, and reducing frequency deviation under contingencies.

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Section: Solution Methods For Bess Planningmentioning

confidence: 99%

“…Besides, the ratio factors kr,1~kr,3 are used to improve the security margin. According to the conservativeness degree of decision makers, the ratio factors can be determined by the Delphi method [32].…”

Section: B Frequency Regulation Capability Estimationmentioning

confidence: 99%

Chance-Constrained Optimal Configuration of BESS Considering Uncertain Power Fluctuation and Frequency Deviation Under Contingency

Cao

Zhang

et al. 2022

IEEE Trans. Sustain. Energy

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“…Las líneas de transmisión forman parte esencial en un Sistema Eléctrico de Potencia [11] y actualmente forman parte de un amplio estudio [12] principalmente en líneas de gran capacidad de energía y a largas distancias en las cuales la probabilidad de emergencias inesperadas como sobrecarga y bajo voltaje aumenta el riesgo de fallas y pueden ser objetos de ataques intencionales. Los autores en [13] contribuyen principalmente con el método de conmutación correctiva como un medida de control de línea en lugar de una parte de la programación del día antes de hacer frente a emergencias inesperadas del sistema de eléctrico como pueden ser sobrecarga y bajo voltaje. Establece el modelo de optimización multi-objetivo que incorpora seis objetivos contradictorios que abarcan los aspectos de la economía, la seguridad y la fiabilidad.…”

Section: Introductionunclassified

Theoretical framework about optimal model of operation after intentional attacks considering transmission system switching

Toctaquiza

Carrion

2021

ITECKNE

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This research focuses on optimal post-intentional attack operation considering switching transmission systems. The applicable models for this process focus on the application of bi-level optimization methods that are capable of analyzing two possible scenarios in order to reduce the time of loss or departure from the demand of the electricity system. The main objective of this work is related to maintaining the minimum requirements that allow the operation of the Electric Power System, for this the approach of equations will be carried out that allows establishing the mathematical models in the event of intentional attacks, it must maintain the operation of the Electric System and react in the event of contingencies through the Optimal Switching of Transmission Lines.

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“…Corrective line switching (CLS) has been practically used as an alternative way to mitigate overloading in transmission systems [12]- [16]. By changing network topology, the power flow distribution will be altered, which can alleviate overload of certain devices and reduce the LS amount [12], [13]. According to the recommended procedures, the switching operation can be performed quickly in case of emergency [17].…”

Section: Introductionmentioning

confidence: 99%

“…More recently, some algorithms with higher accuracy have received considerable attention. In [13], a multiobjective optimization approach was proposed to solve the problem. A real-time contingency analysis software package based on AC power flow techniques was developed with the heuristic method in [14].…”

Section: Introductionmentioning

confidence: 99%

Enhancing Event-Driven Load Shedding by Corrective Switching With Transient Security and Overload Constraints

et al. 2019

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Sudden loss of bulk power generation will result in significant power shortage and power flow redistribution, which may lead to insecurity and/or stability problems. Under this condition, load shedding (LS) and corrective line switching (CLS) can be used to guarantee a reliable electricity supply. However, at present, the above two procedures are implemented separately, which may deteriorate each other and cause unnecessary load loss. To address this issue, a coordination optimization method is proposed to coordinate event-driven LS and CLS for enhancing power system security and stability as well as reducing LS amount simultaneously. A two-loop integrated algorithm is designed to solve the constrained optimization problem, which takes the transient frequency/voltage deviation and overload capacity of the transmission lines as constraints. In the inner loop, iterative optimization of the LS for frequency/voltage security is achieved based on linearized sensitivity analysis, and then step-by-step summation is employed to get the LS amount for alleviating overload. Neighbor search is used in the outer loop to coordinate event-driven LS and CLS so as to optimize the total LS amount. The effectiveness of the proposed method is validated in a modified IEEE 39 bus test system and an industrial power system. The results show that the proposed scheme can decrease the LS amount without improve the transient security while maintaining the transient security and alleviating overload.

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A Multi-Objective Optimization Approach for Corrective Switching of Transmission Systems in Emergency Scenarios

Cited by 16 publications

References 33 publications

Chance-Constrained Optimal Configuration of BESS Considering Uncertain Power Fluctuation and Frequency Deviation Under Contingency

Chance-Constrained Optimal Configuration of BESS Considering Uncertain Power Fluctuation and Frequency Deviation Under Contingency

Theoretical framework about optimal model of operation after intentional attacks considering transmission system switching

Enhancing Event-Driven Load Shedding by Corrective Switching With Transient Security and Overload Constraints

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