Bi-level Capacity Planning of Wind-PV-Battery Hybrid Generation System Considering Return on Investment
| Autor: | Bowen Yang, Tian Peigen, Xi Xiao, Yougui Guo |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
wind-photovoltaic-battery hybrid generation system
return on investment capacity configuration bi-level planning particle swarm optimization Battery (electricity) Control and Optimization Operations research Computer science 020209 energy Energy Engineering and Power Technology 02 engineering and technology lcsh:Technology Capacity planning Net income Return on investment 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Engineering (miscellaneous) Integrated business planning lcsh:T Renewable Energy Sustainability and the Environment 020208 electrical & electronic engineering Particle swarm optimization Economic benefits Power (physics) Energy (miscellaneous) |
| Zdroj: | Energies; Volume 13; Issue 12; Pages: 3046 Energies, Vol 13, Iss 3046, p 3046 (2020) |
| ISSN: | 1996-1073 |
| Popis: | Reasonable configuration of equipment capacity can effectively improve the economics of wind-photovoltaic-battery hybrid generation system (WPB-HGS). Based on the current needs of investors to pay more attention to the economic benefits of WPB-HGS, this paper proposes a capacity configuration method for WPB-HGS considering return on investment (ROI). A bi-level planning model for integrated planning and operation of WPB-HGS was established. The lower-level model optimizes the system’s operating status with the goal of maximizing the daily power sales of the system. The upper-level model plans the equipment capacity of the WPB-HGS with the goal of maximizing the annual net income and return on investment. The model is solved using adaptive weighted particle swarm optimization. According to actual engineering examples, the specific equipment capacity is configured, and the configuration results are analyzed to verify the effectiveness of the method. |
| Databáze: | OpenAIRE |
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