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Well-Being Analysis of Power Systems Considering Increasing Deployment of Gas Turbines

Author

Listed:
  • Bomiao Liang

    (School of Electrical Engineering, Zhejiang University, No. 38 Zheda Rd., Hangzhou 310027, Zhejiang, China)

  • Weijia Liu

    (School of Electrical Engineering, Zhejiang University, No. 38 Zheda Rd., Hangzhou 310027, Zhejiang, China)

  • Fushuan Wen

    (Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam
    Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam)

  • Md. Abdus Salam

    (Department of Electrical and Electronic Engineering, Universiti Teknologi Brunei, Bandar Seri Begawan BE1410, Brunei)

Abstract

With the significant decrease in natural gas prices in many parts of the world, the employment of gas turbine (GT) units has increased steadily in recent years. The ever-increasing deployment of GT units is strengthening the interconnections between electric power and natural gas systems, which could provide a higher level of operational flexibility and reliability. As a result, the planning and operation issues in the interconnected electric power and natural gas systems have aroused concern. In these circumstances, the impacts of increasing deployment of GT units in power system operation are studied and evaluated through well-being analysis (WBA). The fast responsive characteristics of GT units are analyzed first, and the definition and adaption of WBA in a power system with increasing deployment of GT units are addressed. Then the equivalent reserve capacity of GT units is estimated, taking demand fluctuations, commitment plans, and operational risks of GT units into account. The WBA of a power system with increasing deployment of GT units is conducted considering the uncertainties of system operation states and renewable energy sources. Finally, the proposed methods are validated through an integrated version of the IEEE 118-bus power system and a 10-bus natural gas system, and the impacts of GT units on power system security under various penetration levels are examined. Simulation results demonstrate that the role of a GT unit as a low-cost electricity producer may conflict with its role as a reserve provider, but through maintaining a proper proportion of idle GT capacities for reserve, the well-being performance of the power system concerned can be significantly improved.

Suggested Citation

  • Bomiao Liang & Weijia Liu & Fushuan Wen & Md. Abdus Salam, 2017. "Well-Being Analysis of Power Systems Considering Increasing Deployment of Gas Turbines," Energies, MDPI, vol. 10(7), pages 1-18, July.
  • Handle: RePEc:gam:jeners:v:10:y:2017:i:7:p:955-:d:104147
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    References listed on IDEAS

    as
    1. Ushnik Mukherjee & Azadeh Maroufmashat & Apurva Narayan & Ali Elkamel & Michael Fowler, 2017. "A Stochastic Programming Approach for the Planning and Operation of a Power to Gas Energy Hub with Multiple Energy Recovery Pathways," Energies, MDPI, vol. 10(7), pages 1-27, June.
    2. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 2.
    3. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 4.
    4. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 3.
    5. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 1.
    6. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 4.
    7. Yunpeng Guo & Liyan Zhang & Junhua Zhao & Fushuan Wen & Abdus Salam & Jianwei Mao & Liang Li, 2017. "Networked Control of Electric Vehicles for Power System Frequency Regulation with Random Communication Time Delay," Energies, MDPI, vol. 10(5), pages 1-23, May.
    8. Ping Li & Haixia Wang & Quan Lv & Weidong Li, 2017. "Combined Heat and Power Dispatch Considering Heat Storage of Both Buildings and Pipelines in District Heating System for Wind Power Integration," Energies, MDPI, vol. 10(7), pages 1-19, June.
    9. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 3.
    10. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 2.
    11. Yunpeng Guo & Weijia Liu & Fushuan Wen & Abdus Salam & Jianwei Mao & Liang Li, 2017. "Bidding Strategy for Aggregators of Electric Vehicles in Day-Ahead Electricity Markets," Energies, MDPI, vol. 10(1), pages 1-20, January.
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