Evaluation of Power Capacity Availability at Load Bus in a Composite Power System

• Published in: IEEE journal of emerging and selected topics in power electronics Vol. 4; no. 4; pp. 1324 - 1331
• Main Authors: Kumar, T. Bharath, Sekhar, O. Chandra, Ramamoorty, M., Lalitha, S. V. N. L.
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.12.2016; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Ambient temperature; Atmospheric models; Availability; Component reliability; composite power system; Confidence limits; Distributed generation; Electrical loads; failure rate ( lambda ); Indian spacecraft; Meteorological data; Network topologies; Ocean temperature; Power consumption; Power system reliability; Power transformers; Prediction models; Reliability; Reliability analysis; repair rate ( mu ); System reliability; Temperature distribution; Transformers; Wind power; Wind speed
• ISSN: 2168-6777; 2168-6785
• DOI: 10.1109/JESTPE.2016.2615655

The evaluation of reliability of a composite power system is essential for the modern power system to assess the capacity to supply continuous power to the consumers. The power system network is affected by various uncertainties such as equipment failures and random variations in power generation and load demand. All these factors and complex network topology with a large number of equipment components lead to difficulties in the assessment of reliability in a composite power system. In this paper, reliability evaluation is carried out to estimate the power capacity availability at load bus in a composite power system. The composite power system considered here is a microgrid consisting of a conventional power generating unit, power transformer, wind farm, and four loads. New simplified predictive models have been suggested for the estimation of ambient temperature and wind velocity and validated with the actual weather data collected from Meteorological and Oceanographic Satellite Data Archival Centre, India. Using these models, wind velocity and ambient temperatures are predicted one day ahead to estimate the transformer tank temperature, from which the transformer derating factor and the power injected into the microgrid are computed. The proposed methodology is aimed to obtain the power capacity availability at load bus, the limits on the available power capacity variation, and corresponding confidence limits.