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Stochastic control of a micro-grid using battery energy storage in solar-powered buildings

Author

Listed:
  • Ying Chen

    (University of Texas at San Antonio
    School of Economics and Management, Harbin Institute of Technology)

  • Krystel K. Castillo-Villar

    (University of Texas at San Antonio)

  • Bing Dong

    (University of Texas at San Antonio)

Abstract

This paper presents an efficient data-driven building electricity management system that integrates a battery energy storage (BES) and photovoltaic panels to support decision-making capabilities. In this micro-grid (MG) system, solar panels and power grid supply the electricity to the building and the BES acts as a buffer to alleviate the uncertain effects of solar energy generation and the demands of the building. In this study, we formulate the problem as a Markov decision process and model the uncertainties in the MG system, using martingale model of forecast evolution method. To control the system, lookahead policies with deterministic/stochastic forecasts are implemented. In addition, wait-and-see, greedy and updated greedy policies are used to benchmark the performance of lookahead policies. Furthermore, by varying the charging/discharging rate, we obtain the different battery size $$ \left( {E_{s} } \right) $$ E s and transmission line power capacity $$ (P_{max} ) $$ ( P max ) accordingly, and then we investigate how the different $$ E_{s} $$ E s and $$ P_{max} $$ P max affect the performance of control policies. The numerical experiments demonstrate that the lookahead policy with stochastic forecasts performs better than the lookahead policy with deterministic forecasts when the $$ E_{s} $$ E s and $$ P_{max} $$ P max are large enough, and the lookahead policies outperform the greedy and updated policies in all case studies.

Suggested Citation

  • Ying Chen & Krystel K. Castillo-Villar & Bing Dong, 2021. "Stochastic control of a micro-grid using battery energy storage in solar-powered buildings," Annals of Operations Research, Springer, vol. 303(1), pages 197-216, August.
  • Handle: RePEc:spr:annopr:v:303:y:2021:i:1:d:10.1007_s10479-019-03444-3
    DOI: 10.1007/s10479-019-03444-3
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    References listed on IDEAS

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    1. Yossi Aviv, 2003. "A Time-Series Framework for Supply-Chain Inventory Management," Operations Research, INFORMS, vol. 51(2), pages 210-227, April.
    2. Lang Zhang & Haiqing Hu & Dan Zhang, 2015. "A credit risk assessment model based on SVM for small and medium enterprises in supply chain finance," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 1(1), pages 1-21, December.
    3. Victoria C. P. Chen & David Ruppert & Christine A. Shoemaker, 1999. "Applying Experimental Design and Regression Splines to High-Dimensional Continuous-State Stochastic Dynamic Programming," Operations Research, INFORMS, vol. 47(1), pages 38-53, February.
    4. Ji, L. & Niu, D.X. & Huang, G.H., 2014. "An inexact two-stage stochastic robust programming for residential micro-grid management-based on random demand," Energy, Elsevier, vol. 67(C), pages 186-199.
    5. Niknam, Taher & Azizipanah-Abarghooee, Rasoul & Narimani, Mohammad Rasoul, 2012. "An efficient scenario-based stochastic programming framework for multi-objective optimal micro-grid operation," Applied Energy, Elsevier, vol. 99(C), pages 455-470.
    6. Arnab Bhattacharya & Jeffrey P. Kharoufeh & Bo Zeng, 2018. "Structured storage policies for energy distribution networks," IISE Transactions, Taylor & Francis Journals, vol. 50(8), pages 683-698, August.
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