A case study on alleviating electric transmission congestion using dynamic thermal rating methodology

Zafran, Muhammad; Arbab, Muhammad Naeem; Ahmad, Imtiaz; Khan, Muhammad Usman

doi:10.1109/icesp.2014.7347010

Cited by 5 publications

(5 citation statements)

References 6 publications

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“…Congestion in the network is mainly due to the following reasons; Limits of lines Voltage Profile (Khanabadi et al, 2013) Thermal Limits (Zafran et al, 2014) Overloading (Pinheiro and Castro, 2015) Demand Response (Li et al, 2015) Generation Integration (Villumsen et al, 2013)…”

Section: Causes Of Congestionmentioning

confidence: 99%

“…The literature review revealed that many methodologies are adopted to meet this challenge. Some methodologies such as re-dispatching of the generating units by back down or increase others units, curtailment of the load by achieving the willing-to-pay-to-avoid curtailment factor (Fang and David, 1999), genetic algorithm for optimal power flow (Ghahremani and Kamwa, 2014), dynamic thermal rating methodology by considering the actual conditions of line (Zafran et al, 2014), demand response model using IBDR and probabilistic model (Li et al, 2015), branch switching using sensitivity analysis (Pinheiro et al, 2015), N -1 contingency analysis using bender's decomposition (Khanabadi et al, 2013) N -1 -1 contingency analysis based on interdiction flow (Fan et al, 2012), two stage stochastic model based on decision in investment and operation of switching action (Villumsen et al, 2013) in the transmission network to alleviate the congestion in the system. In this paper, we have focused on congestion management issue which has been addressed using Flexible AC Transmission System (FACTS) devices (Ghahremani and Kamwa, 2014;Mohanty et al, 2012).…”

Section: Remedies Of Congestionmentioning

confidence: 99%

See 1 more Smart Citation

Applications of FACTS/ESS in Power System Congestion Management with Large Renewable Energy Sources Using PSS/E and Experienced in National Grid of Pakistan

Anwar¹,

Malik²,

Sarfraz³

et al. 2018

Journal of Applied and Emerging Sciences

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Network or transmission congestion is one of the technical challenges in context of power system operation. The congestion management have great impact in power system operations with the emerging technologies of large renewable sources. In Pakistan, the congestion issues are addressed in the area of National Grid of Pakistan. There are many techniques are proposed to relieve these issues. In this research paper, FACTS and ESS devices are proposed to curtail this issue in the PSS/E environment. It gives the reliable & encouraging results and cost-effective solution.

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Section: Causes Of Congestionmentioning

confidence: 99%

Section: Remedies Of Congestionmentioning

confidence: 99%

Applications of FACTS/ESS in Power System Congestion Management with Large Renewable Energy Sources Using PSS/E and Experienced in National Grid of Pakistan

Anwar¹,

Malik²,

Sarfraz³

et al. 2018

Journal of Applied and Emerging Sciences

View full text Add to dashboard Cite

show abstract

“…Transmission congestion aggravates the power supply crisis. In the event of transmission congestion, the use of electricity by enterprises and residents has to be limited, or electricity supplies have to be cut off altogether [2]. Therefore, it is of great significance to alleviate transmission congestion and improve the service life and operation flexibility of power grids in emergency situations.…”

Section: Introductionmentioning

confidence: 99%

“…The thermal overload risk in short-term load forecasting was studied and the possibility of multi-line overload was evaluated to control the overload risk within the system security. In [2], an alternative solution based on DTR to alleviate transmission congestion was presented. Smart adaptations based upon varying weather conditions provided a feasible scenario for DTR of transmission lines.…”

Section: Introductionmentioning

confidence: 99%

Power Transmission Congestion Management Based on Quasi-Dynamic Thermal Rating

et al. 2019

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Transmission congestion not only increases the operation risk, but also reduces the operation efficiency of power systems. Applying a quasi-dynamic thermal rating (QDR) to the transmission congestion alarm system can effectively alleviate transmission congestion. In this paper, according to the heat balance equation under the IEEE standard, a calculation method of QDR is proposed based on the threshold of meteorological parameters under 95% confidence level, which is determined by statistical analysis of seven-year meteorological data in Weihai, China. The QDR of transmission lines is calculated at different time scales. A transmission congestion management model based on QDR is established, and the transmission congestion alarm system including conductor temperature judgment is proposed. The case shows that transmission congestion management based on QDR is feasible, which improves the service life and operation flexibility of the power grid in emergencies and avoids power supply shortages caused by unnecessary trip protection.

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“…Also, this Amidst this challenge, DLR is one of the appropriate options. DLR is a system that involves monitoring and modifying the rating of the OHL based on real-time weather conditions and other factors [44]- [47]. Previous researchers and utilities have conducted several reviews of DLR, but many have neglected important information, failing to thoroughly address how DLR can optimize the grid and advance grid flexibility.…”

mentioning

confidence: 99%

Optimizing Grid With Dynamic Line Rating of Conductors: A Comprehensive Review

Abas,

Ab Kadir,

Azis

et al. 2024

IEEE Access

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As the world is pledged towards net zero carbon by 2050, the need for clean and efficient energy transitions is more critical than ever. Optimizing the power grid transfer capacity is crucial for maintaining grid stability and reliability. Ageing infrastructure, population growth, and revolutionary technological developments increase the demand for grid modernization and resilience investments. Climate change and natural disasters highlight the need for adaptive load-shedding schemes. The two possible ways to optimize the grid are an ampacity increase or a voltage increase. While increasing voltage provides the most significant rise in rating, it comes with high investment costs. Out of all the options available, dynamic line rating (DLR) is the most efficient and cost-effective solution. This paper provides a comprehensive review of the optimization of the grid transfer capacity using DLR. The review critically examines different line rating methods, the DLR system, factors that need to be considered before DLR implementation, and its advantages and disadvantages. Also, the review presents the real-world applications and case studies, standards and regulations involved, and current approaches and challenges for implementing DLR in Malaysia. Additionally, we highlight the most commonly used standards to calculate the conductor's ampacity for the steady-state and dynamic state. Moreover, this review work presents how DLR can advance the grid's flexibility, considering its significance for cleaner energy production in the future, challenges related to wind energy power generation, and their mitigations. This work provides a shortcut path for researchers and utilities to understand DLR and as a reference for future research to advance clean energy in response to changing energy needs and climate conditions.

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A case study on alleviating electric transmission congestion using dynamic thermal rating methodology

Cited by 5 publications

References 6 publications

Applications of FACTS/ESS in Power System Congestion Management with Large Renewable Energy Sources Using PSS/E and Experienced in National Grid of Pakistan

Applications of FACTS/ESS in Power System Congestion Management with Large Renewable Energy Sources Using PSS/E and Experienced in National Grid of Pakistan

Power Transmission Congestion Management Based on Quasi-Dynamic Thermal Rating

Optimizing Grid With Dynamic Line Rating of Conductors: A Comprehensive Review

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