Development of Unit Commitment Model Considering Confidence Intervals of Photovoltaics Forecast and Analysis of a Large Scale Power System

Udagawa, Yasuo; Ogimoto, Kazuhiko; Oozeki, Takashi; Ohtake, Hideaki; Ikegami, Takashi; Fukutome, Suguru

doi:10.1541/ieejpes.136.484

Cited by 10 publications

(2 citation statements)

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“…Consequently, the spinning reserve power whose output is not zero is activated, and those whose output is zero are shut down. 3 Under the start/stop conditions determined in 2 , the upper and lower limit values of the activated power supply output are set as the rated output and minimum output, respectively. Moreover, OPF is used for the minimization of the total fuel cost as the objective function, to determine the planned output of each spinning reserve power supply.…”

Section: A2 Gsfmentioning

confidence: 99%

“…Many studies on daily supply and demand planning methods for mass introduction of RESs have considered generator characteristics, such as the fuel cost and response speed. Researchers aimed to secure an appropriate spinning reserve to achieve both a reliable supply and economic efficiency while balancing the supply and demand [1][2][3][4][5]. However, in actual supply-demand planning, it is important to consider not only supply-demand constraints but also system constraints, such as thermal limits of the transmission lines and transient stability.…”

Section: Introductionmentioning

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: A2 Gsfmentioning

confidence: 99%