Estimation of Transmission Line Overload due to Forecasting Error of Renewable Energy Sources

Hibi, Shunsuke; Kawabe, Kentaro; Masuta, Taisuke

doi:10.1109/ifeec53238.2021.9661596

Cited by 4 publications

(4 citation statements)

References 4 publications

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Section: Overall Procedures Of Pso and Proposed Methodsmentioning

confidence: 99%

“…S pena = S line,max ,verify − P line,verify × h (10) Here, S line,max,verify represents the thermal rating of the search target transmission line, and P line,verify represents the active power flow in the search target transmission line calculated via the DC-OPF method. S pena in (10) is included in the objective function given by (1). Therefore, if the combinations of forecast errors of the RES output that generate overloads are not calculated, the combinations that maximally increase the power flow of the search target transmission line are stored.…”

Section: Overall Procedures Of Pso and Proposed Methodsmentioning

confidence: 99%

“…In AC‐OPF, constraints on the voltage and reactive power are considered, while the formulation is similar to that of DC‐OPF. See [10] for details regarding the formulation.…”

Section: Transmission‐line Overload Estimation Methodsmentioning

confidence: 99%

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Estimation Method for Transmission Line Overloads Due to Renewable Energy Source (RES) Output Forecast Errors in Daily Supply and Demand Planning

Hibi

Kawabe

Masuta

2023

IEEJ Transactions Elec Engng

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We propose a method to estimate transmission‐line overloads due to forecast errors of power output of renewable energy sources. The proposed method involves particle swarm optimization and optimal power flow calculations. The effectiveness of the method is confirmed via numerical simulations using a modified IEEE RTS 24‐bus system model. The results indicate that the proposed method can determine the forecast errors of the renewable power output that causes thermal overload, and further predict the occurrences of transmission‐line overload under generator activation in supply and demand planning. Furthermore, we explain the occurrence mechanism of transmission‐line overload due to forecast errors, which may contribute to improve the daily supply and demand planning. © 2023 Institute of Electrical Engineer of Japan and Wiley Periodicals LLC.

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Section: Overall Procedures Of Pso and Proposed Methodsmentioning

confidence: 99%

Section: Overall Procedures Of Pso and Proposed Methodsmentioning

confidence: 99%

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Estimation Method for Transmission Line Overloads Due to Renewable Energy Source (RES) Output Forecast Errors in Daily Supply and Demand Planning

Hibi

Kawabe

Masuta

2023

IEEJ Transactions Elec Engng

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“…3 shows the ranges of power flow because of renewable energy uncertainty. These output uncertainties can cause incorrect power dispatch and thus cause the power flow to deviate from the reference operating point [31]. Thus, RES should be allocated additional transmission reliability costs because they derive greater benefit from the transmission reserve than conventional generators.…”

Section: A Power Flow Change Due To Uncertaintymentioning

confidence: 99%

Transmission Pricing Incorporating the Impact of System Fault and Renewable Energy Uncertainty on the Transmission Margin

Kim,

Joo

2023

IEEE Access

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To ensure system reliability against unexpected and sudden disturbances, system operators must secure a portion of the transmission capacity of the system as transmission reserve, which is not used under normal conditions. However, with the recent increase in renewable energy penetration, a transmission reliability margin has been employed under both conditions of system failures and normal operation conditions due to renewable energy uncertainty. Therefore, in the process of transmission cost allocation, the extent of use of the transmission facilities due to renewable energy uncertainty and system failures should be examined. This paper proposes transmission pricing using usage and reliability contribution factors, which are computed based on the extent of use of the transmission facilities over all periods. The probabilistic power flow is used to consider changes in the flow on the lines through the forecasting error of renewable energy sources (RES). The proposed method is tested with an IEEE-5 bus test system and an IEEE-24 bus test system. The test results demonstrate the effectiveness of the proposed method in reasonably allocating transmission costs to network users, taking into account the reliability contribution due to system failures and renewable energy uncertainty.

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Development of Probability Estimation Method for Transmission Line Overload due to Forecast Errors of Renewable Energy Sources

Kawabe

Musuta

2022

2022 12th International Conference on Power and Energy Systems (ICPES)

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Estimation of Transmission Line Overload due to Forecasting Error of Renewable Energy Sources

Cited by 4 publications

References 4 publications

Estimation Method for Transmission Line Overloads Due to Renewable Energy Source (RES) Output Forecast Errors in Daily Supply and Demand Planning

Estimation Method for Transmission Line Overloads Due to Renewable Energy Source (RES) Output Forecast Errors in Daily Supply and Demand Planning

Transmission Pricing Incorporating the Impact of System Fault and Renewable Energy Uncertainty on the Transmission Margin

Development of Probability Estimation Method for Transmission Line Overload due to Forecast Errors of Renewable Energy Sources

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