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This paper reports a state-of-the-art Supervisory Control and Data Acquisition (SCADA) Laboratory facility for power systems at Jamia Millia Islamia, New Delhi, India. It has been designed to function as a research and training center for utilities, faculty members, and students. This paper covers the design, commissioning, and functioning of the SCADA/EMS laboratory facility, based on distributed-processing technology. The SCADA laboratory will provide hands on experience to students and practicing engineers and will give them an insight into the contemporary SCADA systems. This lab is the first of its kind to be functional in India. Index Terms--DCS, energy management system (EMS), ethernet, intelligent control, laboratory, real-time systems, SCADA systems.

Uncertainties are always present in the data captured at the remote terminal unit (RTU) in a power system. In this paper, it has been demonstrated that pre-processing the data with a fuzzy-genetic algorithm at the RTU will reduce the uncertainty and vagueness in the measurands. The initial population for the genetic algorithm is generated with assumed fuzzy functions. These functions are optimized using the theory of reproduction, cross over and mutation. The result shows that the fuzzy-genetic algorithm gives better results than the other methods available. It is also observed that the fuzzy-genetic algorithm is easy to apply to the output fuzzy solution rather than to the input fuzzy function. Index Terms--Data acquisition, fuzzy logic, genetic algorithm, remote terminal unit (RTU), supervisory control and data acquisition (SCADA).

Uncertainties are always present in the power system data, captured at the remote terminal unit (RTU). Fuzzy logic method is one of the alternatives for improving the quality of such data, before processing it further. As the measured data deviates from their nominal values, preprocessing of them with fuzzy logic method improves the reliability of the measurements. This paper discusses a fuzzy logic-based algorithm for preprocessing the data at the RTU level. Measurands such as voltage, current, and phase angle have been employed to study the usefulness of the proposed method. Index Terms--Fuzzy logic, preprocessing, RTU, measurands, SCADA.

The reliability analysis of a power system‐wide area measurement system (WAMS) is presented based on a Markov graph theoretic approach. Initially, a phasor measurement unit is considered wherein a state‐space model is used to denote state transitions due to various component failures. This model is then expanded to include different common cause failures and component redundancies. The approach is extended to a regional WAMS and further the impact of the nature and type of communication network of the complete WAMS on the overall system reliability is investigated. The evolution of the overall reliability due to the ageing of individual components is also studied. Finally, sample calculations are presented for the WAMS system currently under consideration in India. [ABSTRACT FROM AUTHOR]

The reliability analysis of a power system-wide area measurement system (WAMS) is presented based on a Markov graph theoretic approach. Initially, a phasor measurement unit is considered wherein a state-space model is used to denote state transitions due to various component failures. This model is then expanded to include different common cause failures and component redundancies. The approach is extended to a regional WAMS and further the impact of the nature and type of communication network of the complete WAMS on the overall system reliability is investigated. The evolution of the overall reliability due to the ageing of individual components is also studied. Finally, sample calculations are presented for the WAMS system currently under consideration in India. [ABSTRACT FROM AUTHOR]