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Unit Commitment Considering Interruptible Load for Power System Operation with Wind Power

Author

Listed:
  • Hyeon-Gon Park

    (School of Electrical Engineering & Computer Science, Seoul National University, Gwanak-ro 599, Gwanak-gu, Seoul 151-744, Korea)

  • Jae-Kun Lyu

    (Wind Energy Grid-Adaptive Technology Research Center, Chonbuk National University, Jeonju 561-756, Korea)

  • YongCheol Kang

    (Wind Energy Grid-Adaptive Technology Research Center, Chonbuk National University, Jeonju 561-756, Korea)

  • Jong-Keun Park

    (School of Electrical Engineering & Computer Science, Seoul National University, Gwanak-ro 599, Gwanak-gu, Seoul 151-744, Korea)

Abstract

A high wind-power penetration level causes increased uncertainty in power system operation because of the variability and limited predictability of wind generation. This paper proposes a novel type of unit commitment (UC) considering spinning reserve and interruptible load (IL) as operating reserve facilities to increase system flexibility for reliable, economical operation. Two uncertainty sources, load and wind generation, were modeled via autoregressive moving averages (ARMA). The formulation of interruptible load was considered in the implementation of unit commitments. Lagrangian relaxation-dynamic programming (LR-DP) was used to solve the unit commitment problem efficiently. The expected energy not supplied (EENS) was regarded as a probabilistic reliability criterion. The effectiveness of the proposed unit commitment was evaluated using an IEEE 118-bus system. The simulation results clearly demonstrated that with demand-side participation, the operating cost was significantly reduced when handling the increased uncertainty due to wind power integration within the required reliability criteria.

Suggested Citation

  • Hyeon-Gon Park & Jae-Kun Lyu & YongCheol Kang & Jong-Keun Park, 2014. "Unit Commitment Considering Interruptible Load for Power System Operation with Wind Power," Energies, MDPI, vol. 7(7), pages 1-19, July.
    • Handle: RePEc:gam:jeners:v:7:y:2014:i:7:p:4281-4299:d:37803
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    References listed on IDEAS

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    1. Wang, J. & Botterud, A. & Bessa, R. & Keko, H. & Carvalho, L. & Issicaba, D. & Sumaili, J. & Miranda, V., 2011. "Wind power forecasting uncertainty and unit commitment," Applied Energy, Elsevier, vol. 88(11), pages 4014-4023.
    2. DeCesaro, Jennifer & Porter, Kevin & Milligan, Michael, 2009. "Wind Energy and Power System Operations: A Review of Wind Integration Studies to Date," The Electricity Journal, Elsevier, vol. 22(10), pages 34-43, December.
    3. Deng, Shi-Jie & Xu, Li, 2009. "Mean-risk efficient portfolio analysis of demand response and supply resources," Energy, Elsevier, vol. 34(10), pages 1523-1529.
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    Cited by:

    1. Shengli Liao & Zhifu Li & Gang Li & Jiayang Wang & Xinyu Wu, 2015. "Modeling and Optimization of the Medium-Term Units Commitment of Thermal Power," Energies, MDPI, vol. 8(11), pages 1-17, November.
    2. Kwon, Kyung-bin & Kim, Dam, 2020. "Enhanced method for considering energy storage systems as ancillary service resources in stochastic unit commitment," Energy, Elsevier, vol. 213(C).
    3. Jianjian Shen & Chuntian Cheng & Jun Zhang & Jianyu Lu, 2015. "Peak Operation of Cascaded Hydropower Plants Serving Multiple Provinces," Energies, MDPI, vol. 8(10), pages 1-20, October.
    4. Liping Wang & Minghao Liu & Boquan Wang & Jiajie Wu & Chuangang Li, 2017. "Study on Nested-Structured Load Shedding Method of Thermal Power Stations Based on Output Fluctuations," Energies, MDPI, vol. 10(10), pages 1-16, September.
    5. Xia Zhou & Wei Li & Mengya Li & Qian Chen & Chaohai Zhang & Jilai Yu, 2016. "Effect of the Coordinative Optimization of Interruptible Loads in Primary Frequency Regulation on Frequency Recovery," Energies, MDPI, vol. 9(3), pages 1-11, March.
    6. Zhiwei Li & Tianran Jin & Shuqiang Zhao & Jinshan Liu, 2018. "Power System Day-Ahead Unit Commitment Based on Chance-Constrained Dependent Chance Goal Programming," Energies, MDPI, vol. 11(7), pages 1-20, July.
    7. Kyung-bin Kwon & Hyeongon Park & Jae-Kun Lyu & Jong-Keun Park, 2016. "Cost Analysis Method for Estimating Dynamic Reserve Considering Uncertainties in Supply and Demand," Energies, MDPI, vol. 9(10), pages 1-16, October.
    8. Jiahua Hu & Fushuan Wen & Ke Wang & Yuchun Huang & Md. Abdus Salam, 2017. "Simultaneous Provision of Flexible Ramping Product and Demand Relief by Interruptible Loads Considering Economic Incentives," Energies, MDPI, vol. 11(1), pages 1-20, December.

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