1. The Bidirectional DC/DC Converter Operation Mode Control Algorithm Based on RBF Neural Network
- Author
-
Wang Kaiwen, Lyu Ling, Chen Kang, Zhang Liang, Chi Shengbin, and Ma Huanhuan
- Subjects
Computer science ,business.industry ,020209 energy ,020208 electrical & electronic engineering ,Photovoltaic system ,Electrical engineering ,PID controller ,Battery (vacuum tube) ,02 engineering and technology ,Energy storage ,DC-BUS ,Power (physics) ,Power Balance ,0202 electrical engineering, electronic engineering, information engineering ,Microgrid ,business - Abstract
As the main force of new energy generation, photovoltaic power generation is widely used in microgrid. Considering the coordinated operation of photovoltaic and energy storage system (ESS) in the island operation mode, the control strategy of voltage stability and power balance was studied for the low-voltage DC microgrid composed of the distributed generations. When the loads of DC microgrid system change abruptly, the DC bus power will be excessive or deficient, which will affect the stability of bus voltage. In this paper, a parallel structure of ESS and photovoltaic cell was used, and a bidirectional DC/DC converter was used to connect the energy storage battery with the DC bus. Based on RBF neural network tuning PID control, an improved bidirectional DC/DC converter operation mode control algorithm was proposed. When the system load changed suddenly, the voltage stability and power balance of DC bus were realized simultaneously. The effectiveness of the proposed algorithm was verified by simulation.
- Published
- 2019
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