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Investment Strategy and Multi–Objective Optimization Scheme for Premium Power under the Background of the Opening of Electric Retail Side

Author

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  • Yuanqian Ma

    (College of Electrical Engineering and Information Technology, Sichuan University, Chengdu 610065, China)

  • Xianyong Xiao

    (College of Electrical Engineering and Information Technology, Sichuan University, Chengdu 610065, China)

  • Ying Wang

    (College of Electrical Engineering and Information Technology, Sichuan University, Chengdu 610065, China)

Abstract

With the opening of electric retail side, premium power value-added service has become a main concern for both sensitive customers (SCs) and new electric retail companies (NERCs). However, due to the lack of appropriate investment strategy and optimal premium power investment scheme (PPIS) determination method, the premium power market is difficult to form, thus SCs’ demand for premium power is difficult to meet. Under such condition, how to determine the investment strategy and choose the optimal PPIS are problems that need to be solved. Motivated by this, this paper proposes a multi–participant premium power investment strategy and an optimal PPIS determination method. Suppose that the NERC and the corresponding SCs have already been determined, according to two–sided matching theory, taking SCs’ and NERC’s disappointment–rejoicing psychological perceptions into consideration, premium power perceived utility (PU) (i.e., the perceived effectiveness or satisfaction degree) can be obtained, and a multi-objective optimization model of investment scheme is established. Finally, a field survey has been conducted by the authors on typical high-tech manufacturers (HTMs) located in a High-Tech Park in Sichuan, China. The matching results have been verified by the actual survey. The proposed method is a good way to manage the premium power market.

Suggested Citation

  • Yuanqian Ma & Xianyong Xiao & Ying Wang, 2018. "Investment Strategy and Multi–Objective Optimization Scheme for Premium Power under the Background of the Opening of Electric Retail Side," Energies, MDPI, vol. 11(8), pages 1-25, August.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:8:p:2135-:d:164074
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    1. Dung Vo Tien & Radomir Gono & Zbigniew Leonowicz, 2018. "A Multifunctional Dynamic Voltage Restorer for Power Quality Improvement," Energies, MDPI, vol. 11(6), pages 1-17, May.
    2. Kunaifi & Angèle Reinders, 2018. "Perceived and Reported Reliability of the Electricity Supply at Three Urban Locations in Indonesia," Energies, MDPI, vol. 11(1), pages 1-27, January.
    3. Zahra Pooranian & Jemal H. Abawajy & Vinod P & Mauro Conti, 2018. "Scheduling Distributed Energy Resource Operation and Daily Power Consumption for a Smart Building to Optimize Economic and Environmental Parameters," Energies, MDPI, vol. 11(6), pages 1-17, May.
    4. Alvin E. Roth & Uriel G. Rothblum & John H. Vande Vate, 1993. "Stable Matchings, Optimal Assignments, and Linear Programming," Mathematics of Operations Research, INFORMS, vol. 18(4), pages 803-828, November.
    5. Haslett, D. W., 1990. "What is Utility?," Economics and Philosophy, Cambridge University Press, vol. 6(1), pages 65-94, April.
    6. Philippe Delquié & Alessandra Cillo, 2006. "Disappointment without prior expectation: a unifying perspective on decision under risk," Journal of Risk and Uncertainty, Springer, vol. 33(3), pages 197-215, December.
    7. Michal Wydra, 2018. "Performance and Accuracy Investigation of the Two-Step Algorithm for Power System State and Line Temperature Estimation," Energies, MDPI, vol. 11(4), pages 1-20, April.
    8. Shin, Jeong-Shik, 1985. "Perception of Price When Price Information Is Costly: Evidence from Residential Electricity Demand," The Review of Economics and Statistics, MIT Press, vol. 67(4), pages 591-598, November.
    9. Carlos Laciana & Elke Weber, 2008. "Correcting expected utility for comparisons between alternative outcomes: A unified parameterization of regret and disappointment," Journal of Risk and Uncertainty, Springer, vol. 36(1), pages 1-17, February.
    10. Roth, Alvin E., 1985. "Common and conflicting interests in two-sided matching markets," European Economic Review, Elsevier, vol. 27(1), pages 75-96, February.
    11. Rafael Cisneros-Magaña & Aurelio Medina & Olimpo Anaya-Lara, 2018. "Time-Domain Voltage Sag State Estimation Based on the Unscented Kalman Filter for Power Systems with Nonlinear Components," Energies, MDPI, vol. 11(6), pages 1-20, June.
    12. Tianlei Zang & Yueping Xiang & Jianwei Yang, 2017. "The Tripartite Game Model for Electricity Pricing in Consideration of the Power Quality," Energies, MDPI, vol. 10(12), pages 1-27, December.
    13. Seyedeh Narjes Fallah & Ravinesh Chand Deo & Mohammad Shojafar & Mauro Conti & Shahaboddin Shamshirband, 2018. "Computational Intelligence Approaches for Energy Load Forecasting in Smart Energy Management Grids: State of the Art, Future Challenges, and Research Directions," Energies, MDPI, vol. 11(3), pages 1-31, March.
    14. Yongchun Yang & Xiangning Xiao & Shixiao Guo & Yajing Gao & Chang Yuan & Wenhai Yang, 2018. "Energy Storage Characteristic Analysis of Voltage Sags Compensation for UPQC Based on MMC for Medium Voltage Distribution System," Energies, MDPI, vol. 11(4), pages 1-17, April.
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