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Voltage Security-Constrained Optimal Generation Rescheduling for Available Transfer Capacity Enhancement in Deregulated Electricity Markets

Author

Listed:
  • Oludamilare Bode Adewuyi

    (Graduate School of Science and Engineering, University of the Ryukyus, Okinawa 903-0213, Japan)

  • Mikaeel Ahmadi

    (Graduate School of Science and Engineering, University of the Ryukyus, Okinawa 903-0213, Japan)

  • Isaiah Opeyemi Olaniyi

    (Faculty of Engineering, Ladoke Akintola University of Technology, PMB 4000, Ogbomoso 210214, Nigeria)

  • Tomonobu Senjyu

    (Graduate School of Science and Engineering, University of the Ryukyus, Okinawa 903-0213, Japan)

  • Temitayo Olayemi Olowu

    (Department of Electronic and Electrical Engineering, Obafemi Awolowo University, Ile-Ife 220282, Nigeria)

  • Paras Mandal

    (Department of Electrical and Computer Engineering, University of Texas at El Paso, Texas, TX 79968, USA)

Abstract

Modern utilities are forced to operate very close to their loadable limits (maximum capacity) due to geographical, economical and some technical reasons. The deregulation of the power industry, the competitive nature of modern electricity markets and the continuous quest for modernization of cities and hamlets all over the world has also led to fast increase in the load demand. The stability of power systems all over the world are threatened with recurrent occurrences of voltage stability issues. Hence, Inter-zonal energy transactions between willing supplier and buyers need to be done with adequate consideration for power system security. In this work, a voltage security-constrained optimal generator active and reactive power rescheduling is carried out using the IEEE 30 and IEEE 57 bus systems. The simultaneous maximization of available transfer capacity (ATC) and voltage stability margin (VSM), using the weighted sum approach, is the objective function. Credible optimal power flow and power system security constraints are considered. Three variants of particle swarm optimization in MATLAB ® are used in this work for analyzing the results for objectivity. The technical and economic benefits of the optimal generator rescheduling on the system’s ATC, VSM, line losses, line flow and voltage profile are adequately analyzed.

Suggested Citation

  • Oludamilare Bode Adewuyi & Mikaeel Ahmadi & Isaiah Opeyemi Olaniyi & Tomonobu Senjyu & Temitayo Olayemi Olowu & Paras Mandal, 2019. "Voltage Security-Constrained Optimal Generation Rescheduling for Available Transfer Capacity Enhancement in Deregulated Electricity Markets," Energies, MDPI, vol. 12(22), pages 1-16, November.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:22:p:4371-:d:287856
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    References listed on IDEAS

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    2. Clements, A.E. & Hurn, A.S. & Li, Z., 2016. "Strategic bidding and rebidding in electricity markets," Energy Economics, Elsevier, vol. 59(C), pages 24-36.
    3. Rubin, Ofir & Babcock, Bruce A., 2011. "A Novel Approach for Modeling Deregulated Electricity," Staff General Research Papers Archive 32440, Iowa State University, Department of Economics.
    4. Adewuyi, Oludamilare Bode & Lotfy, Mohammed E. & Akinloye, Benjamin Olabisi & Rashid Howlader, Harun Or & Senjyu, Tomonobu & Narayanan, Krishna, 2019. "Security-constrained optimal utility-scale solar PV investment planning for weak grids: Short reviews and techno-economic analysis," Applied Energy, Elsevier, vol. 245(C), pages 16-30.
    5. Rubin, Ofir D. & Babcock, Bruce A., 2011. "A novel approach for modeling deregulated electricity markets," Energy Policy, Elsevier, vol. 39(5), pages 2711-2721, May.
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    Cited by:

    1. Ryuto Shigenobu & Akito Nakadomari & Ying-Yi Hong & Paras Mandal & Hiroshi Takahashi & Tomonobu Senjyu, 2020. "Optimization of Voltage Unbalance Compensation by Smart Inverter," Energies, MDPI, vol. 13(18), pages 1-22, September.

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