Multi-objective Optimization Model of the Bundled Wind-PV-thermal Power Transmission System

Autor:	Hongqian Li, Fei Xue, Xutao Li, Hao Li, Bei Tian, Ting Yang
Rok vydání:	2023
Předmět:	History Computer Science Applications Education
Zdroj:	Journal of Physics: Conference Series. 2479:012039
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/2479/1/012039
Popis:	Aiming at the optimization problem of the bundled wind-PV-thermal power transmission system considering the renewable energy off-grid fault, this paper first establishes a optimization model to maximize the renewable energy(RE) consumption and minimize the system operation cost, and considers the impact of the renewable energy off-grid fault. Then, a reinforcement learning method for solving optimization model is proposed to solve the optimal output of generations at each time. It can reduce the operating cost and improve the consumption of renewable energy under the influence of off-grid failure. Finally, taking the actual wind farm, PV power station, energy storage station(ESS), and power plant in the northwest as an example, the advantages of the proposed strategy is proven.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::92421432435cb465216904d320310c63 https://doi.org/10.1088/1742-6596/2479/1/012039 Zobrazit plný text záznamu