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This article presents a new approach to enhance the capabilities of flywheel energy storage systems to enable increasing the integration of small-scale photovoltaic distributed generation units in distribution systems. The storage capabilities of the flywheel energy storage systems are utilized to suppress the system voltage disturbances caused by the intermittent output power of the photovoltaic distributed generation sources in distribution systems. A dynamic model of the flywheel energy storage systems is presented. The flywheel energy storage systems model is simulated in a practical residential distribution network with small-scale photovoltaic distributed generation sources using PSCAD/EMTDC. The performance of the system is studied before and after installing the flywheel energy storage systems. The simulation results show that utilizing the flywheel energy storage systems technology in distribution systems with installed photovoltaic distributed generation sources can effectively reduce the frequent operation of the system automatic voltage regulators and increase the overall utilized energy of the installed photovoltaic distributed generation sources. [ABSTRACT FROM AUTHOR]

Recent deployment of distributed generation has led to a revolution in distribution systems and the emergence of “smart grid” concepts. The smart grid mainly intends to facilitate integration of renewable energy sources and to achieve higher system reliability and efficiency. Different distributed generation types found in modern distribution systems can be classified into two main categories: intermittent- and dispatchable-based distributed generation; the latter has a unique capability of enabling successful islanding operation, thus improving system reliability. This article proposes a methodology for allocating dispatchable distributed generation units in distribution systems to economically improve system reliability. Distributed generation installation and operation costs are to be optimized against the reliability value, expressed as customers’ “willingness to pay” (WTP) to avoid power interruptions. Therefore, the main goal of this research work is to determine the optimal combination between distributed generation units to be installed and loads to be shed during all possible contingencies. A probabilistic load model is adopted to determine the optimal size of allocated distributed generation units. [ABSTRACT FROM AUTHOR]

The increasing interest in smart home technologies has created a need for a comprehensive literature survey. This article reviews the goals of a smart home energy management system, along with related definitions, applications, and information about the manufacturing of its components. The challenges associated with smart home energy management systems and possible solutions are examined, and the energy factors that contribute to a customer's electricity bill are discussed. A number of price schemes and the load models needed for solving related scheduling optimization problems are also presented, including a review of the literature related to energy management system scheduling with respect to its control, automation, and communication. [ABSTRACT FROM PUBLISHER]

The non-detection zone is a concept used to evaluate anti-islanding detection methods. The non-detection zone is defined as the loading condition for which an islanding detection method would fail to operate in a timely manner, and it is represented in terms of the load parameters. This article proposes a new three-dimensional non-detection zone representation for quantifying the effectiveness of frequency drift islanding detection methods. The proposed non-detection zone model is represented in terms of active and reactive power mismatch and load quality factor. Various two-dimensional non-detection zone models proposed in the literature are analyzed to highlight the limitations of each model. The analysis is conducted on three different islanding detection methods, including over-frequency protection/under frequency protection, active frequency drift, and Sandia frequency shift methods. The analytical model of the two dimensional non-detection zone representations is presented, and each model is validated through simulation results. The results show that representing the non-detection zone in a two-dimensional space is not sufficient to accurately determine all non-detectable loading conditions. The proposed three-dimensional non-detection zone representation is capable of modeling all possible loading conditions and provides a better approach for assessing islanding detection methods with resistance-inductance-capacitance loads. [ABSTRACT FROM AUTHOR]