期刊
ENERGY CONVERSION AND MANAGEMENT
卷 244, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.enconman.2021.114519
关键词
Hybrid renewable energy system; Energy storage; Capacity optimization; Operation strategy; Multi-objective optimization
资金
- Beijing Natural Science Foundation [3202014]
The study proposed a hybrid renewable energy system with the optimal combination obtained through a multi-objective optimization algorithm. It was found that the combination of CSP plant and PV plant is an effective way to improve power generation reliability. The recommendation is to use power cycle to supplement power shortages.
A hybrid renewable energy system, including photovoltaic (PV) plant, wind farm, concentrated solar power (CSP) plant, battery, electric heater, and bidirectional inverter, is proposed. The optimal combination of power plants and energy storage devices, and their optimal capacities are obtained by the multi-objective optimization algorithm. A superior operation strategy of the system, which consists of multiple energy storage technologies and flexible power supplies, is proposed. Results show that the PV plant with an inverter can generate power at the lowest cost but with poor reliability. The combination of the CSP plant and PV plant is an effective way to improve power generation reliability economically. When low investment costs of PV plant, battery, and inverter are adopted, the battery is preferentially integrated into PV plant to reduce the loss of power supply probability (LPSP) to a certain level. But it still cannot meet the high power generation reliability requirements. The CSP plant is still an essential technology to further significantly reduce LPSP with good economic performance. The operation strategy in which the power cycle takes precedence over the battery to supplement the power shortage is recommended. The levelized cost of energy (LCOE) of the system with power cycle output priority is 8.36% lower than that of the system with battery output priority when the LPSP is 1.34%.
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