A Novel Stochastic Mixed-Integer-Linear-Logical Programming Model for Optimal Coordination of Hybrid Storage Systems in Isolated Microgrids Considering Demand Response
Source abstract
Abstract
Storage systems and demand-response programs will play a vital role in future energy systems. Batteries, hydrogen or pumped hydro storage systems can be combined to form hybrid storage facilities to not only manage the intermittent behavior of renewable sources, but also to store surplus renewable energy in a practice known as ‘green’ storage. On the other hand, demand-response programs are devoted to encouraging a more active participation of consumers by pursuing a more efficient operation of the system. In this context, proper scheduling tools able to coordinate different storage systems and demand-response programs are essential. This paper presents a stochastic mixed-integer-lineal-logical framework for optimal scheduling of isolated microgrids. In contrast to other works, the present model includes a logical-based formulation to explicitly coordinate batteries and pumped hydro storage units. A case study on a benchmark isolated microgrid serves to validate the developed optimization model and analyze the effect of applying demand-response premises in microgrid operation. The results demonstrate the usefulness of the developed method, and it is found that operation cost and fuel consumption can be reduced by ~38% and ~82% by applying demand-response initiatives.
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Research context
OpenAlex topics: Microgrid Control and Optimization · Hybrid Renewable Energy Systems · Smart Grid Energy Management
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Electrical Engineering, University of Jaén, 23700 Linares, Spain
Department of Electrical Engineering, Faculty of Engineering, Arak University, Arak 38156-8-8349, Iran
Department of Electrical Engineering, Tafresh University, Tafresh 39518-79611, Iran
References (44)
Show source-provided references
1. Comprehensive enhanced Newton Raphson approach for power flow analysis in droop-controlled islanded AC microgrids10.1016/j.ijepes.2022.108493 ↗
2. Technical feasibility study on a standalone hybrid solar-wind system with pumped hydro storage for a remote island in Hong Kong10.1016/j.renene.2014.03.028 ↗
3. Elmouatamid, A., Ouladsine, R., Bakhouya, M., El Kamoun, N., Khaidar, M., and Zine-Dine, K. (2021). Review of Control and energy management approaches in micro-grid systems. Energies, 14.10.3390/electronics10141666 ↗
4. A novel stochastic framework based on PEM-DPSO for optimal operation of microgrids with demand response10.1016/j.scs.2021.103024 ↗
5. Stochastic energy management in a renewable energy-based microgrid considering demand response program10.1016/j.ijepes.2021.106791 ↗
6. Optimal placement of battery swap stations in microgrids with micro pumped hydro storage systems, photovoltaic, wind and geothermal distributed generators10.1016/j.ijepes.2020.106483 ↗
7. Variable speed pumped hydro storage: A review of converters, controls and energy management strategies10.1016/j.rser.2020.110156 ↗
8. Zhao, Y., and Chen, J. (2021). A quantitative risk-averse model for optimal management of multi-source standalone microgrid with demand response and pumped hydro storage. Energies, 14.10.3390/en14092692 ↗
9. Alturki, F.A., and Awwad, E.M. (2021). Sizing and cost minimization of standalone hybrid wt/pv/biomass/pump-hydro storage-based energy systems. Energies, 14.10.3390/en14020489 ↗
10. Comprehensive stochastic optimal scheduling in residential micro energy grid considering pumped-storage unit and demand response10.1016/j.est.2020.101968 ↗
11. A real-time energy management strategy for pumped hydro storage systems in farmhouses10.1016/j.est.2020.101928 ↗
12. Liang, N., Li, P., Liu, Z., Song, Q., and Luo, L. (2020). Optimal scheduling of island microgrid with seawater-pumped storage station and renewable energy. Processes, 8.10.3390/pr8060737 ↗
13. Optimal energy management of a renewable-based isolated microgrid with pumped-storage unit and demand response10.1016/j.renene.2018.02.072 ↗
14. Coordination of pumped-storage unit and irrigation system with intermittent wind generation for intelligent energy management of an agricultural microgrid10.1016/j.energy.2017.09.146 ↗
15. Energy management strategy for microgrids including heat pump air-conditioning and hybrid energy storage systems
16. Kaur, M., Verma, Y.P., and Sharma, M.K. (2016, January 4–6). Impact of demand response and pumped storage on microgrid operation. Proceedings of the 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES), Delhi, India.10.1109/ICPEICES.2016.7853581 ↗
17. Stochastic management of hybrid AC/DC microgrids considering electric vehicles charging demands10.1016/j.egyr.2020.05.019 ↗
18. Multi-agent energy management of smart islands using primal-dual method of multipliers10.1016/j.energy.2020.118306 ↗
19. A novel interval-based formulation for optimal scheduling of microgrids with pumped-hydro and battery energy storage under uncertainty10.1002/er.8058 ↗
20. Multi-energy microgrid optimal operation with integrated power to gas technology considering uncertainties10.1016/j.jclepro.2021.130174 ↗
21. Optimal household appliances scheduling under day-ahead pricing and load-shaping demand response strategies10.1109/TII.2015.2438534 ↗
22. An IGDT-based risk-involved optimal bidding strategy for hydrogen storage-based intelligent parking lot of electric vehicles10.1016/j.est.2019.101057 ↗
23. Home energy management in off-grid dwellings: Exploiting flexibility of thermostatically controlled appliances10.1016/j.jclepro.2021.127507 ↗
24. A stochastic-IGDT model for energy management in isolated microgrids considering failures and demand response10.1016/j.apenergy.2022.119162 ↗
25. Stochastic unit commitment in microgrids: Influence of the load forecasting error and the availability of energy storage10.1016/j.renene.2019.08.032 ↗
26. A novel methodology for comprehensive planning of battery storage systems10.1016/j.est.2021.102456 ↗
27. Optimal Management of Microgrids With External Agents Including Battery/Fuel Cell Electric Vehicles10.1109/TSG.2018.2856524 ↗
28. A MILP framework for electricity tariff-choosing decision process in smart homes considering ‘Happy Hours’ tariffs10.1016/j.ijepes.2021.107139 ↗
29. A mixed-integer-linear-logical programming interval-based model for optimal scheduling of isolated microgrids with green hydrogen-based storage considering demand response10.1016/j.est.2022.104028 ↗
30. Control of a solar PV/wind hybrid energy system10.1016/j.egypro.2016.09.028 ↗
31. International Renewable Energy Agency (2021, June 26). Utility-Scale Batteries, Innovation Landscape Brief. Available online: https://www.irena.org/-/media/Files/IRENA/Agency/Publication/2019/Sep/IRENA_Utility-scale-batteries_2019.pdf.
32. Mongird, K., Fotedar, V., Viswanathan, V., Koritarov, V., Balducci, P., Hadjerioua, B., and Alam, J. (2019). Energy Storage Technology and Cost Characterization Report.10.2172/1884043 ↗
33. A comprehensive battery energy storage optimal sizing model for microgrid applications10.1109/TPWRS.2017.2769639 ↗
34. Pump as turbine applied to micro energy storage and smart water grids: A case study10.1016/j.apenergy.2019.03.018 ↗
35. Hierarchical energy management control for islanding DC microgrid with electric-hydrogen hybrid storage system10.1016/j.ijhydene.2018.10.043 ↗
36. Electrical energy storage systems: A comparative life cycle cost analysis10.1016/j.rser.2014.10.011 ↗
37. A stochastic bi-level decision-making framework for a load-serving entity in day-ahead and balancing markets
38. Optimal operation of energy hubs considering uncertainties and different time resolutions10.1109/TIA.2020.3000707 ↗
39. Sizing and dispatch of an islanded microgrid with energy flexible buildings10.1016/j.apenergy.2020.115355 ↗
40. (2022, June 28). Gurobi—The fastest solver. Available online: https://www.gurobi.com/.
41. National Centers for Environmental Information (2022, June 28). Land-Based Datasets and Products, Available online: https://www.ncdc.noaa.gov/data-access/land-based-station-data/land-based-datasets.
42. Red Eléctrica de España (2022, June 28). Canary Electricity Demand in Real-Time. Available online: https://www.ree.es/en/activities/canary-islands-electricity-system/canary-electricity-demand-in-real-time.
43. Uncertainty-aware day-ahead scheduling of microgrids considering response fatigue: An IGDT approach10.1016/j.apenergy.2022.118611 ↗
44. Computational comparison of piecewise-linear relaxations for pooling problems10.1021/ie8016048 ↗