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Locational Marginal Pricing and Daily Operation Scheduling of a Hydro-Thermal-Wind-Photovoltaic Power System Using BESS to Reduce Wind Power Curtailment

Author

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  • Roberto Felipe Andrade Menezes

    (Department of Electrical Engineering, Federal University of Pernambuco (UFPE), Recife 50740-533, Brazil)

  • Guilherme Delgado Soriano

    (Department of Electrical Engineering, Federal University of Pernambuco (UFPE), Recife 50740-533, Brazil)

  • Ronaldo Ribeiro Barbosa de Aquino

    (Department of Electrical Engineering, Federal University of Pernambuco (UFPE), Recife 50740-533, Brazil)

Abstract

The Daily Operation Scheduling (DOS) gets new challenges while a large-scale of renewable energy is inserted into the power system. In addition to the operation, the power variability of these sources also causes a problem in the hourly pricing, represented here by Locational Marginal Pricing (LMP). Therefore, new applications, such as energy shifting, offer greater efficiency to the system, minimizing the negative effects caused by wind power curtailment (WPC). This paper shows the LMP formation in the DOS of the hydro-thermal-wind-photovoltaic power system with a battery energy storage system and the reduction of WPC. Here, the wind and photovoltaic power plants are designed to be dispatched, not mandatory, to be able to cut the generation, and the insertion of Distributed Generation is considered. Moreover, to solve the DOS problem, the interior-point method is used. Additionally, the DC optimal power flow, used to represent the DOS in addition to the representation of the electric grid, is modeled with an iterative approach. The analysis is made in an IEEE 24-bus system with data from Brazil. Lastly, the results of simulations are presented and discussed, demonstrating the effectiveness of the optimization to reduce the WPC, the total operation cost, and to provide the LMP curve.

Suggested Citation

  • Roberto Felipe Andrade Menezes & Guilherme Delgado Soriano & Ronaldo Ribeiro Barbosa de Aquino, 2021. "Locational Marginal Pricing and Daily Operation Scheduling of a Hydro-Thermal-Wind-Photovoltaic Power System Using BESS to Reduce Wind Power Curtailment," Energies, MDPI, vol. 14(5), pages 1-22, March.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:5:p:1441-:d:511775
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    References listed on IDEAS

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    2. Yongqi Zhao & Jiajia Chen, 2021. "A Quantitative Risk-Averse Model for Optimal Management of Multi-Source Standalone Microgrid with Demand Response and Pumped Hydro Storage," Energies, MDPI, vol. 14(9), pages 1-17, May.
    3. Salil Madhav Dubey & Hari Mohan Dubey & Manjaree Pandit & Surender Reddy Salkuti, 2021. "Multiobjective Scheduling of Hybrid Renewable Energy System Using Equilibrium Optimization," Energies, MDPI, vol. 14(19), pages 1-20, October.

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