Adaptive HVAC Operation To Reduce Disruptive Fan Noise Levels During Noise-Sensitive Events

Some heating, ventilation, and air condition (HVAC) systems produce a significant amount of noise. Such systems can have a fan that is active when heating or air conditioning is occurring to circulate air. Noise generated by such a fan can be disruptive, especially if one or more nearby persons are participating in a noise-sensitive activity, such as watching television or talking. Embodiments are focused on determining when such noise-sensitive events are occurring or are likely to occur and adjusting control of an HVAC system to decrease or eliminate the sound or noise generated by the HVAC system while the noise-sensitive event is in progress

An on-line training radial basis function neural network for optimum operation of the UPFC

The concept of Flexible A.C. Transmission Systems (FACTS) technology was developed to enhance the performance of electric power networks (both in steady-state and transient-state) and to make better utilization of existing power transmission facilities. The continuous improvement in power ratings and switching performance of power electronic devices together with advances in circuit design and control techniques are making this concept and devices employed in FACTS more commercially attractive. The Unified Power Flow Controller (UPFC) is one of the main FACTS devices that have a wide implication on the power transmission systems and distribution. The purpose of this paper is to explore the use of Radial Basis Function Neural Network (RBFNN) to control the operation of the UPFC in order to improve its dynamic performance. The performance of the proposed controller compares favourably with the conventional PI and the off-line trained controller. The simple structure of the proposed controller reduces the computational requirements and emphasizes its appropriateness for on-line operation. Real-time implementation of the controller is achieved through using dSPACE ds1103 control and data acquisition board. Simulation and experimental results are presented to demonstrate the robustness of the proposed controller against changes in the transmission system operating conditions