Hussain Shareef

The increasing demand for electricity and the emergence of smart grids have presented new opportunities for home energy management (HEM) systems for the purpose of reducing energy usage. With the deployment of smart meters, it is possible to perform load control using HEM system with DR enabled appliances. The objective is to develop an intelligent HEM system with DR enabled appliances considering, home occupancy, user comfort, and electricity price. Simulation models of four home appliances, namely, air conditioner, water heater, washing machine, and refrigerator were developed based on mathematical and measurement empirical models using the Matlab/Simulink software. In addition, hardware prototype smart sockets were designed and built to link the home appliances to the HEM controller. The intelligent HEM system can make accurate decision in scheduling and shifting the domestic load operation at the peak period by scheduling the electrical appliances at a specific time without affecting the comfort of customers.

In this book, harmonic source localization methods have been developed by considering two methods. The first method considers a single point measurement strategy for locating dominant harmonic source by determining the harmonic contributions of utility and customer at a single point called as the point of common coupling. This approach is based on a Norton equivalent circuit for simplifying the system under study, and modelling the customer load with parallel RLC components using the measured harmonic voltage and current at the PCC. While, the second method considers a multiple point measurement strategy for locating multiple harmonic sources in a distribution system using independent component analysis (ICA) and mutual information theory (MI). In this method, ICA is used for reconstructing the magnitude of the injected harmonic currents caused by harmonic sources while MI is applied for determining the exact locations of harmonic sources based on the reconstructed harmonic currents.

The aim of deregulation in the electric power industry is to optimize the system welfare, by introducing competitive environment, mainly among the suppliers. Developing fair and equitable real and reactive power allocation method has been an active topic of research. This book suggests current methodologies to allocate real and reactive power output of individual generators to system loads and flows. Allocation procedures presented can be used independently in deregulated power systems. The choice of the chosen algorithm depends on their limitations and suitability. The advantages of various methodologies are demonstrated on commonly used test systems. The new methodologies provide better reliability and minimize the limitations of conventional methods. The presented methods could be used by independent system operators and engineers to resolve some of the difficult real and reactive power pricing and costing issues and to ensure fairness and transparency in the deregulated environment of power system. Furthermore, the ideas developed in this book can be utilized for educational and research purposes such as loss allocation and congestion management in deregulated power systems.