THERMAL SCIENCE

International Scientific Journal

Authors of this Paper

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Zhanying Tong

,

Beibei Guo

MODELING AND OPTIMIZATION OF MICRO GRID SUPPLY AND DEMAND SYSTEM FOR RENEWABLE THERMAL ENERGY

ABSTRACT
The economic benefit of microgrid is the key factor to realize environment-friendly power supply. With the wide application of new energy power generation, scholars have carried out a lot of research on microgrid models, but the existing models cannot reflect the important role of renewable energy in microgrid operation. Therefore, the author proposes a power generation and storage model based on renewable heat energy and microgrid. In order to minimize the cost and meet the requirements of CO2 emission limitation, the cost of power generation, storage and production in the microgrid is analyzed in detail. At the same time, the optimization method of renewable energy microgrid system operation is also studied. First of all, by analyzing the characteristics of the microgrid system, a mathematical model and simulation calculation system are established to help understand the microgrid system. Secondly, the author has carried out a separate study on the energy storage in the microgrid system, and listed the benefits and costs of the energy storage process. In the grid-connected state, the performance of each unit in the microgrid system is better, the system is more stable and safe, and the operating cost is reduced again..
KEYWORDS
renewable thermal energy, Microgrid, supply and demand system, modeling and optimization
PAPER SUBMITTED: 2022-06-14
PAPER REVISED: 2022-08-16
PAPER ACCEPTED: 2022-08-20
PUBLISHED ONLINE: 2023-03-25
DOI REFERENCE: https://doi.org/10.2298/TSCI2302999T
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2023, VOLUME 27, ISSUE Issue 2, PAGES [999 - 1006]
REFERENCES
  1. Dayalan, S., Rathinam, R., Energy Management of a Microgrid Using Demand Response Strategy Including Renewable Uncertainties, International Journal of Emerging Electric Power Systems, 22 (2021), 1, pp. 85-100
  2. Violante, W., et al., An Energy Management System for Isolated Microgrids with Thermal Energy Resources, IEEE Transactions on Smart Grid, 11 (2020), 4, pp. 2880-2881
  3. Mobarakeh, A. I., et al., Techno-Economic Energy Management of Micro-Grid in the Presence of Distributed Generation Sources Based on Demand Response Programs, International Journal of Electrical Power and Energy Systems, 1 (2022), 14, 108169
  4. Samadi, E., et al., Decentralized Multi-Agent Based Energy Management of Microgrid Using Reinforcement Learning, International Journal of Electrical Power and Energy Systems, 1 (2020), 2, 106211
  5. Mandal, R., Chatterjee, K., Frequency Control and Sensitivity Analysis of an Isolated Microgrid Incorporating Fuel Cell and Diverse Distributed Energy Sources, International Journal of Hydrogen Energy, 45 (2020), 23, pp. 13009-13024
  6. Rispoli, N., et al., Constrained Optimal Design of a Reversible Solid Oxide Cell-Based Multiple Load Renewable Microgrid, The Journal of Energy Storage, 31 (10), 1570
  7. Wang, Y., et al., A Wasserstein Based Two-Stage Distributionally Robust Optimization Model for Optimal Operation of CCHP Micro-Grid under Uncertainties, International Journal of Electrical Power and Energy Systems, 119 (2020), 105941
  8. Liu, Y., Liu, T., Coordination and Optimization of CCHP Microgrid Group Game Based on the Interaction of Electric and Thermal Energy Considering Conditional Value at Risk, IEEE Access, 9 (2021), June, pp. 88664-88673
  9. Chen, Y., et al., Multi‐Stage Coordinated Operation of a Multi‐Energy Microgrid with Residential Demand Response under Diverse Uncertainties, Energy Conversion and Economics, 1(2020), 1, pp. 20-33
  10. Benyaghoob-Sani, A., et al., A Raigdt Model for Stochastic Optimal Operation of a Microgrid Based on Energy Hub Including Cooling and Thermal Energy Storages, International Journal of Electrical Power and Energy Systems, 131 (2021), 1, 107092
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Modeling and optimization of micro grid supply and demand system for renewable thermal energy

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence