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A Competitive Swarm Optimizer-Based Technoeconomic Optimization with Appliance Scheduling in Domestic PV-Battery Hybrid Systems

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Listed:
  • Bo Wang
  • Yanjing Li
  • Fei Yang
  • Xiaohua Xia

Abstract

A technoeconomic optimization problem for a domestic grid-connected PV-battery hybrid energy system is investigated. It incorporates the appliance time scheduling with appliance-specific power dispatch. The optimization is aimed at minimizing energy cost, maximizing renewable energy penetration, and increasing user satisfaction over a finite horizon. Nonlinear objective functions and constraints, as well as discrete and continuous decision variables, are involved. To solve the proposed mixed-integer nonlinear programming problem at a large scale, a competitive swarm optimizer-based numerical solver is designed and employed. The effectiveness of the proposed approach is verified by simulation results.

Suggested Citation

  • Bo Wang & Yanjing Li & Fei Yang & Xiaohua Xia, 2019. "A Competitive Swarm Optimizer-Based Technoeconomic Optimization with Appliance Scheduling in Domestic PV-Battery Hybrid Systems," Complexity, Hindawi, vol. 2019, pages 1-15, October.
    • Handle: RePEc:hin:complx:4824837
    DOI: 10.1155/2019/4824837
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    References listed on IDEAS

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    1. Tingli Cheng & Minyou Chen & Yingxiang Wang & Bo Li & Muhammad Arshad Shehzad Hassan & Tao Chen & Ruilin Xu, 2018. "Adaptive Robust Method for Dynamic Economic Emission Dispatch Incorporating Renewable Energy and Energy Storage," Complexity, Hindawi, vol. 2018, pages 1-13, June.
    2. Qian Zhao & Lian-ying Zhang, 2018. "Research on the Effect of DPSO in Team Selection Optimization under the Background of Big Data," Complexity, Hindawi, vol. 2018, pages 1-14, July.
    3. Xin Li & Jingang Lai & Ruoli Tang, 2017. "A Hybrid Constraints Handling Strategy for Multiconstrained Multiobjective Optimization Problem of Microgrid Economical/Environmental Dispatch," Complexity, Hindawi, vol. 2017, pages 1-12, December.
    4. Shaahid, S.M. & Elhadidy, M.A., 2008. "Economic analysis of hybrid photovoltaic-diesel-battery power systems for residential loads in hot regions--A step to clean future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(2), pages 488-503, February.
    5. Nema, Pragya & Nema, R.K. & Rangnekar, Saroj, 2009. "A current and future state of art development of hybrid energy system using wind and PV-solar: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 2096-2103, October.
    6. Yang, Fei & Xia, Xiaohua, 2017. "Techno-economic and environmental optimization of a household photovoltaic-battery hybrid power system within demand side management," Renewable Energy, Elsevier, vol. 108(C), pages 132-143.
    7. Xu Chen & Bin Xu & Wenli Du, 2018. "An Improved Particle Swarm Optimization with Biogeography-Based Learning Strategy for Economic Dispatch Problems," Complexity, Hindawi, vol. 2018, pages 1-15, July.
    8. João Soares & Tiago Pinto & Fernando Lezama & Hugo Morais, 2018. "Survey on Complex Optimization and Simulation for the New Power Systems Paradigm," Complexity, Hindawi, vol. 2018, pages 1-32, August.
    9. Kagiri, Charles & Wanjiru, Evan M. & Zhang, Lijun & Xia, Xiaohua, 2018. "Optimized response to electricity time-of-use tariff of a compressed natural gas fuelling station," Applied Energy, Elsevier, vol. 222(C), pages 244-256.
    10. Kallel, Randa & Boukettaya, Ghada & Krichen, Lotfi, 2015. "Demand side management of household appliances in stand-alone hybrid photovoltaic system," Renewable Energy, Elsevier, vol. 81(C), pages 123-135.
    11. Leva, S. & Dolara, A. & Grimaccia, F. & Mussetta, M. & Ogliari, E., 2017. "Analysis and validation of 24 hours ahead neural network forecasting of photovoltaic output power," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 131(C), pages 88-100.
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