An Optimal Control Strategy for Offshore Community with Considering Demand Response
Yajie Sun, Dezhi Li
Ekoloji, 2019, Issue 108, Pages: 207-216
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Abstract
With the increase of installed renewable capacity in offshore areas, the uncertainty and randomness of wind speed and solar radiation have a significant impact on the power system. Therefore, it is necessary to study the offshore multi-energy system. A traditional offshore community with hybrid energy storage system (HESS) installation usually participates in demand response program to improve system economy. However, due to the high price and low discharge power of the HESS, it cannot response to the loads effectively. This paper introduces water electrolysis and on-board hydrogen storage technologies to an offshore community, so as to effectively optimize the operation of system. Subsequently, to analyze the impact of climate change on system operation, the concept of loads matching degree is firstly defined. Results show that compared with the traditional offshore multi-energy system, the improved system can significantly reduce system operation costs and carbon emissions by 23.02% and 48.43%, respectively.
Keywords
water electrolysis technology, demand response
References
- Andrijanovit, A.; Egorov, M.; Lehtla, M. (2010) New method for stabilization of wind power generation using energy storage technology. Agronomy Research 8: 12–24.
- Datta, M.; Senjyu, T.; Yona, A. (2010) Photovoltaic output power fluctuations smoothing methods for single and multiple PV generators. Current Applied Physics 10: 265–270.
- Ekren, O.; Ekren, B.Y. (2008) Size optimization of a PV/wind hybrid energy conversion system with battery storage using response surface methodology. Applied Energy 85: 1086–1101.
- Fathallah, M.A.B.; Othman, A.B.; Besbes, M. (2018) Modeling a photovoltaic energy storage system based on super capacitor, simulation and evaluation of experimental performance. Applied Physics A 124: 120–129.
- Gu, W.; Wu, Z.; Bo, R. (2014) Modeling, planning and optimal energy management of combined cooling, heating and power microgrid: A review. International Journal of Electrical Power & Energy Systems 54: 26–37.
- He, C.; Liu, T.; Wu, L. (2017) Robust Coordination of Interdependent Electricity and Natural Gas Systems in Day-ahead Scheduling for Facilitating Volatile Renewable Generations via Power-to-Gas Technology. Journal of Modern Power Systems & Clean Energy 5: 375–388.
- Li, Y.; Wang, X.; Luo, P.; Pan, Q. (2019) Thermal-Aware Hybrid Workload Management in a Green Datacenter towards Renewable Energy Utilization. Energies 12: 1494–1511.
- Song, N.O.; Lee, J.H.; Kim, H.M. (2015) Optimal Energy Management of Multi-Microgrids with Sequentially Coordinated Operations. Energies 8: 8371–8390.