Safety strategy of power transmission channel coordinated with transfer capability support for power system emergency

Wang, Jian; Xiong, Xiaofu; Hu, Jian; Lü, Xin

doi:10.1016/j.ijepes.2019.03.017

Cited by 10 publications

(3 citation statements)

References 24 publications

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“…Therefore, the key benefit of deploying the DTR-OTS system is an improved understanding of conductor temperatures, and this new found information can be capitalized to optimally trip generations at the right time, to maximize line loadings and power deliveries, and to provide greater situational awareness to system operators [31]. Similar benefit on the protection of switchgear and transformer has also been demonstrated before [32].…”

Section: Introductionmentioning

confidence: 89%

Fuzzy Dynamic Thermal Rating System-Based SIPS for Enhancing Transmission Line Security

Metwaly

Teh

2021

IEEE Access

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The increased integrations of intermittent renewable energy sources into power systems cause more power grid congestions and therefore system operators need more advanced control to relieve this pressure. The dynamic thermal rating (DTR) system is able to increase the thermal constraint and subsequently maximum loading of existing lines. This dynamic rating is achieved through real-time considerations of weather data and it is usually much higher than the traditional static thermal rating system. The operational tripping scheme (OTS), a variant of the wider system integrity protection scheme, also relieves line congestions but it does this by tripping pre-selected generators and this have the unwanted consequence of reducing power adequacy. This paper proposes the novel integration of DTR and OTS, while considering the inherent uncertainties of their sensors based on fuzzy numbers, to avoid unnecessary generation tripping due to conservative line ratings. This novel Fuzzy-DTR-OTS delays the tripping of generations, enhances the adequacy of power supply, improves system security and avoids high risk cascading black out inducing events.INDEX TERMS dynamic thermal rating, SIPS, conductor temperature, wide area monitoring NOMENCLATURE ConstantsConductor heat capacity (J/m ⋅ ℃) Density of air (kg m 3 ⁄ )

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Section: Introductionmentioning

confidence: 89%

Fuzzy Dynamic Thermal Rating System-Based SIPS for Enhancing Transmission Line Security

Metwaly

Teh

2021

IEEE Access

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“…The node voltage and phase angle must keep within the prescribed limits to prevent voltage or frequency from losing stable during the period of PPFC. Thus, the node voltage magnitude constraint is U i,min ≤ U i,t ≤ U i,max (16) where, U i,max andU i,min are the upper and lower limits of voltage magnitude, respectively. The constraint of the phase angle difference between i and j ends of the transmission line is…”

Section: ) Inequality Constraints A: Safety Constraints Of Ac/dc Hybrid Power Gridmentioning

confidence: 99%

“…The power flow transfer is usually restricted by the transmission capacity of critical transmission section [16]. The transmission capacity relates to the thermal rating, voltage constraint, and angle stability of the system.…”

Section: Introductionmentioning

confidence: 99%

A Post-Contingency Power Flow Control Strategy for AC/DC Hybrid Power Grid Considering the Dynamic Electrothermal Effects of Transmission Lines

Jian

Xiong

et al. 2019

IEEE Access

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The blocking of large-capacity HVDC or the tripping of AC transmission lines by accident will cause power flow transfer sharply and increase the risk of cascading faults in AC/DC hybrid power grid. Therefore, it is needed to take reasonable safety control measures in time to interdict the spreading of the accident. In this paper, a post-contingency power flow control (PPFC) strategy for AC/DC hybrid power grid was proposed. This strategy brings the dynamic electrothermal effects of the conductor into the safety constraints to fully excavate the short-time overload endurance capability of transmission lines, and coordinates the active power adjustment of generators, power transmission adjustment of HVDC, and load shedding measures, to realize the dynamic optimal power flow control in multiple time sections. The proposed optimization control model takes minimum total cost as the objective function, and accounts for the influence of different weather conditions along the transmission lines and load fluctuations after the accident on the electrothermal safety of transmission lines, which can quickly provide the economical and reasonable power flow control scheme, to prevent the AC/DC hybrid power grid from unexpected cascading tripping effectively. Finally, the effectiveness and superiority of the proposed strategy were verified through case studies on the modified IEEE 10-machine 39-node power systems.

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A generalized regression model based on hybrid empirical mode decomposition and support vector regression with back‐propagation neural network for mid‐short‐term load forecasting

Fan¹,

Guo²,

Zheng³

et al. 2020

Journal of Forecasting

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Since load forecasting plays a decisive role in the safe and stable operation of power systems, it is particularly important to explore forecasting methods accurately. In this article, the hybrid empirical mode decomposition (EMD) and support vector regression (SVR) with back‐propagation neural network (BPNN), namely the EMDHR‐SVR‐BPNN model, is proposed. Information theory is mainly used to solve the data tendency problem, and the EMD method is used to solve the data volatility problem. There is no interaction between these two methods; thus these two models can complement each other through generalized regression of orthogonal decomposition. Taking the load data from the New South Wales (NSW, Australia) market as an example, the obtained simulation results are compared with other models. It is concluded that the proposed EMDHR‐SVR‐BPNN model not only improves the forecasting accuracy but also has good fitting ability. It can reflect the changing tendency of data in a timely manner, providing a strong basis for the electricity generation of the power sector in the future, thus reducing electricity waste. The proposed EMDHR‐SVR‐BPNN model has potential for employment in mid‐short term load forecasting.

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Safety strategy of power transmission channel coordinated with transfer capability support for power system emergency

Cited by 10 publications

References 24 publications

Fuzzy Dynamic Thermal Rating System-Based SIPS for Enhancing Transmission Line Security

Fuzzy Dynamic Thermal Rating System-Based SIPS for Enhancing Transmission Line Security

A Post-Contingency Power Flow Control Strategy for AC/DC Hybrid Power Grid Considering the Dynamic Electrothermal Effects of Transmission Lines

A generalized regression model based on hybrid empirical mode decomposition and support vector regression with back‐propagation neural network for mid‐short‐term load forecasting

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