A model free intelligent muhivariable fuzzy controller （MFC） designed for modulating the vapor compression cycles in a residential inverter-driven air conditioning is proposed. The novel controller combines a tradit...A model free intelligent muhivariable fuzzy controller （MFC） designed for modulating the vapor compression cycles in a residential inverter-driven air conditioning is proposed. The novel controller combines a traditional fuzzy controller （TFC） and an additional coupling fuzzy controller, the coupling fuzzy controller is introduced to compensate for the unknown cross-coupling effects of this muhivariable system. In order to evaluate the control performance of the MFC, it is digitally implemented in terms of regulating the desired evaporating temperature and superheat. The experimental results show the effectiveness of the MFC for improvement of system performance and energy efficiency.展开更多
In compressed air energy storage systems,throttle valves that are used to stabilize the air storage equipment pressure can cause significant exergy losses,which can be effectively improved by adopting inverter-driven ...In compressed air energy storage systems,throttle valves that are used to stabilize the air storage equipment pressure can cause significant exergy losses,which can be effectively improved by adopting inverter-driven technology.In this paper,a novel scheme for a compressed air energy storage system is proposed to realize pressure regulation by adopting an inverter-driven compressor.The system proposed and a reference system are evaluated through exergy analysis,dynamic characteristics analysis,and various other assessments.A comprehensive performance analysis is conducted based on key parameters such as thermal storage temperature,component isentropic efficiency,and designated discharge pressure.The results show that the novel system achieves a relative improvement of 3.64%in round-trip efficiency,demonstrating its capability to enhance efficiency without significantly increasing system complexity.Therefore,the system proposed offers a viable solution for optimizing compressed air energy storage systems.展开更多
In this paper,the explicit state-space model for a multi-inverter system including grid-following inverter-based generators(IBGs)and grid-forming IBGs is developed by the two-level component connection method(CCM),whi...In this paper,the explicit state-space model for a multi-inverter system including grid-following inverter-based generators(IBGs)and grid-forming IBGs is developed by the two-level component connection method(CCM),which modularized inverter control blocks at the primary level and IBGs at the secondary level.Based on the comprehensive state-space model representing full order of system dynamics,eigenvalues of the overall system are thoroughly analyzed,identifying potential adverse impacts of not only grid-following inverters,but also grid forming inverters on the system small-signal stability,with the underlying principle of oscillations also understood.Numerical and simulation results validate effectiveness of the proposed methodology on IEEE benchmarking 39-bus system.展开更多
基金This work is supported by the National High Technology Research and Development Program of China (863 Programs, GrantNo. 2007AA05Z224)Knowledge Innovation Project of Chinese Academy of Sciences(Grant No.KGCX2-YW-345)Zhejiang Scientific and Technological Project(Grant No.2009C3113004)
文摘A model free intelligent muhivariable fuzzy controller （MFC） designed for modulating the vapor compression cycles in a residential inverter-driven air conditioning is proposed. The novel controller combines a traditional fuzzy controller （TFC） and an additional coupling fuzzy controller, the coupling fuzzy controller is introduced to compensate for the unknown cross-coupling effects of this muhivariable system. In order to evaluate the control performance of the MFC, it is digitally implemented in terms of regulating the desired evaporating temperature and superheat. The experimental results show the effectiveness of the MFC for improvement of system performance and energy efficiency.
基金supported by the Key Research and Development Program of Hubei Province,China(No.2022BAD163)the Foundation of State Key Laboratory of Coal Combustion,China(No.FSKLCCA2112).
文摘In compressed air energy storage systems,throttle valves that are used to stabilize the air storage equipment pressure can cause significant exergy losses,which can be effectively improved by adopting inverter-driven technology.In this paper,a novel scheme for a compressed air energy storage system is proposed to realize pressure regulation by adopting an inverter-driven compressor.The system proposed and a reference system are evaluated through exergy analysis,dynamic characteristics analysis,and various other assessments.A comprehensive performance analysis is conducted based on key parameters such as thermal storage temperature,component isentropic efficiency,and designated discharge pressure.The results show that the novel system achieves a relative improvement of 3.64%in round-trip efficiency,demonstrating its capability to enhance efficiency without significantly increasing system complexity.Therefore,the system proposed offers a viable solution for optimizing compressed air energy storage systems.
基金supported partially by a MOE Tier 1 Thematic grant(23070749).
文摘In this paper,the explicit state-space model for a multi-inverter system including grid-following inverter-based generators(IBGs)and grid-forming IBGs is developed by the two-level component connection method(CCM),which modularized inverter control blocks at the primary level and IBGs at the secondary level.Based on the comprehensive state-space model representing full order of system dynamics,eigenvalues of the overall system are thoroughly analyzed,identifying potential adverse impacts of not only grid-following inverters,but also grid forming inverters on the system small-signal stability,with the underlying principle of oscillations also understood.Numerical and simulation results validate effectiveness of the proposed methodology on IEEE benchmarking 39-bus system.
