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Comparison of the Use of Energy Storages and Energy Curtailment as an Addition to the Allocation of Renewable Energy in the Distribution System in Order to Minimize Development Costs

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  • Mateusz Andrychowicz

    (Institute of Mechatronics and Information Systems, Lodz University of Technology, 90-924 Lodz, Poland)

Abstract

This paper presents a comparison of the efficiency of energy storage and energy curtailment as an addition to the allocation of renewable energy in the distribution system in order to minimize development costs using a Mixed Integer-Linear Programming (MILP). Energy sources and energy storages are selected, sized and allocated under operational circumstances such as grid congestions and weather conditions. Loads and power units are modeled by daily consumption and generation profiles respectively, to reflect the intermittent character of renewable generation and consumption of energy. The optimization is carried out for a one-year time horizon using twenty-four representative days. The method is verified on three main simulation scenarios and three sub-scenarios for each of them, allowing for the comparison of the efficiency of each used tool. The main scenarios differ in their share of energy from renewable energy sources (RES) in total consumption. In the sub-scenarios, different tools (RES sizing and allocation, energy storages (ES) sizing and allocation and energy curtailment) are used. The results of this research confirm that energy curtailment is a more efficient additional tool for RES sizing and allocation than energy storages. This method can find practical application for Distribution System Operators in elaborating grid development strategies.

Suggested Citation

  • Mateusz Andrychowicz, 2020. "Comparison of the Use of Energy Storages and Energy Curtailment as an Addition to the Allocation of Renewable Energy in the Distribution System in Order to Minimize Development Costs," Energies, MDPI, vol. 13(14), pages 1-20, July.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:14:p:3746-:d:387383
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    5. Mateusz Andrychowicz, 2021. "The Impact of Energy Storage along with the Allocation of RES on the Reduction of Energy Costs Using MILP," Energies, MDPI, vol. 14(13), pages 1-15, June.
    6. Yusheng Sun & Yaqian Zhao & Zhifeng Dou & Yanyan Li & Leilei Guo, 2020. "Model Predictive Virtual Synchronous Control of Permanent Magnet Synchronous Generator-Based Wind Power System," Energies, MDPI, vol. 13(19), pages 1-14, September.
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    9. Bouthaina El Barkouki & Mohamed Laamim & Abdelilah Rochd & Jae-won Chang & Aboubakr Benazzouz & Mohammed Ouassaid & Moses Kang & Hakgeun Jeong, 2023. "An Economic Dispatch for a Shared Energy Storage System Using MILP Optimization: A Case Study of a Moroccan Microgrid," Energies, MDPI, vol. 16(12), pages 1-19, June.
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