Inverter air-conditioning (IAC) units have been proved to be effective in frequency regulation by providing flexible capacities. This paper proposes a brain emotional learning (BEL)-based controller to provide the IACs with control signals to be efficiently involved in the frequency regulation in power systems. The BEL-based controller can learn quick-auto, making it appropriate in systems facing uncertainty. To assess the BEL controller performance in realistic conditions, the uncertainties as a consequence of variations in system parameters and load level are considered. The goal is to use the BEL controller to increase the IAC units' ability to track regulation signals accurately in uncertain circumstances. The controller is compared to a fuzzy-PI control, a proportional control scheme, a model predictive control and a linear quadratic regulator control. A delay-dependent stability criterion is used to calculate the highest time delay in the IACs response under which the system maintains stability. In addition, this paper presents an BEL-based coordinator to coordinate the IACs and traditional generation units for compensating considerable frequency variations caused by the time delays. Case studies are accomplished on a multi-area power system in MATLAB/Simulink environment. Eventually, real-time verifications by OPAL-RT real-time digital simulator on the simulated power system are executed to assess the control method.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Intelligent Power Control of Inverter Air Conditioners in Power Systems: A Brain Emotional Learning-Based Approach


    Beteiligte:

    Erscheinungsdatum :

    2022-01-01


    Anmerkungen:

    Oshnoei , A , Sadeghian , O & Anvari-Moghaddam , A 2022 , ' Intelligent Power Control of Inverter Air Conditioners in Power Systems: A Brain Emotional Learning-Based Approach ' , I E E E Transactions on Power Systems , pp. 1-15 . https://doi.org/10.1109/TPWRS.2022.3218589



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629



    An Intelligent Synchronous Power Control for Grid-Forming Inverters based on Brain Emotional Learning

    Oshnoei, Arman / Sorouri, Hoda / Teodorescu, Remus et al. | BASE | 2023

    Freier Zugriff

    Inverter Control Method for Air Conditioners in Railway vehicles

    LEE EUL JAE | Europäisches Patentamt | 2023

    Freier Zugriff

    Intelligent Secondary Control of Islanded AC Microgrids: A Brain Emotional Learning-based Approach

    Yeganeh, Mohammad Sadegh Orfi / Oshnoei, Arman / Mijatovic, Nenad et al. | BASE | 2023

    Freier Zugriff

    Power equipment for rolling stock air conditioners

    Minami, H. / Sugiyama, S. | Tema Archiv | 1970


    Intelligent control system and method for automobile air conditioners

    MEI ZHIGUO | Europäisches Patentamt | 2015

    Freier Zugriff