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Planning of Flexible Generators and Energy Storages under High Penetration of Renewable Power in Taiwan Power System

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  • Yuan-Kang Wu

    (Department of Electrical Engineering, National Chung Cheng University, Chia-Yi 62102, Taiwan)

  • Wen-Shan Tan

    (School of Engineering, Monash University Malaysia, Jalan Lagoon Selatan, Bandar Sunway, Subang Jaya 47500, Malaysia)

  • Yu-Shuang Chiang

    (Department of Electrical Engineering, National Chung Cheng University, Chia-Yi 62102, Taiwan)

  • Cheng-Liang Huang

    (Department of Electrical Engineering, National Chung Cheng University, Chia-Yi 62102, Taiwan)

Abstract

The proportion of renewable power generation in the world has been increasing in recent years. However, the fluctuations and uncertainties of renewable power generation bring a considerable challenge to future unit scheduling. Therefore, the generation flexibility in power systems becomes more critical as a large amount of renewable generation is integrated into power systems. The use of flexible generators with energy storage systems is one of the most efficient methods of improving power system flexibility. The primary purpose of this study is to explore the effect of generation flexibility on the cost of unit scheduling. A flexibility index is used to evaluate the generation flexibility in the Taiwan power system, and a multi-scenario analysis for renewable power integration is considered. This study also considers various system constraints, such as the unit commitment of actual hydro and thermal units, the scheduling of flexible internal combustion engines (ICEs) and energy storage systems, and possible curtailments of renewable power generation. According to the seasonable characteristics of renewable power generation, this study provides a suitable capacity for flexible ICE units and energy storage systems. Furthermore, this study demonstrates that the cost of unit scheduling is effectively reduced by increasing flexible ICE units and energy storage systems. The results of this study can be used as a reference for power systems in preparing flexible generating units and energy storage systems under the integration of a large amount of renewable power generation in the future.

Suggested Citation

  • Yuan-Kang Wu & Wen-Shan Tan & Yu-Shuang Chiang & Cheng-Liang Huang, 2022. "Planning of Flexible Generators and Energy Storages under High Penetration of Renewable Power in Taiwan Power System," Energies, MDPI, vol. 15(14), pages 1-19, July.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:14:p:5224-:d:866311
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    References listed on IDEAS

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    1. Oree, Vishwamitra & Sayed Hassen, Sayed Z., 2016. "A composite metric for assessing flexibility available in conventional generators of power systems," Applied Energy, Elsevier, vol. 177(C), pages 683-691.
    2. Alessio Ishizaka, 2014. "Comparison of fuzzy logic, AHP, FAHP and hybrid fuzzy AHP for new supplier selection and its performance analysis," International Journal of Integrated Supply Management, Inderscience Enterprises Ltd, vol. 9(1/2), pages 1-22.
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    1. Eleonora Fripp Lazzari & Adriano Peres de Morais & Maicon Ramos & Renato Ferraz & Tiago Marchesan & Vitor Cristiano Bender & Rodinei Carraro & Herber Fontoura & Cristian Correa & Mariana Resener, 2023. "A Comprehensive Review on Transient Recovery Voltage in Power Systems: Models, Standardizations and Analysis," Energies, MDPI, vol. 16(17), pages 1-29, September.

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