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Load supplying capability of interconnected power systems: A probabilistic approach
Affiliation:1. Guangdong Provincial Key Laboratory of New and Renewable Energy Research and Development, Guangzhou 510640, China;2. School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, 100083, China;3. Key Laboratory of Fluid and Power Machinery, Ministry of Education, Xihua University, Chengdu 610039, China;1. School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou, Jiangsu 221116, China;2. IoT Perception Mine Research Center, China University of Mining And Technology, Xuzhou 221116, China;1. University of Naples Federico II, Department of Electrical Engineering and Information Technology, via Claudio, 21, 80125 Naples, Italy;2. University of Naples Federico II, Department of Industrial Engineering, via Claudio, 21, 80125 Naples, Italy;3. University of Sannio, Department of Engineering, Piazza Roma, 21, 82100 Benevento, Italy;1. University of Naples Federico II, Italy;2. University of Cassino and Southern Lazio, Italy
Abstract:Prudent planning of a power system always requires determination of its load supplying capability (LSC). However, the assessment of the ability of a power system to supply loads can become very difficult when the problem data are uncertain. In this case the use of current deterministic approaches is not adequate and the application of probabilistic techniques is the most feasible alternative. This paper presents a probabilistic approach for the evaluation of the LSC of interconnected power systems in order to capture the unavoidable random nature of loads due to bus load forecasting. The method treats loads as random correlated variables with normal distribution and it can determine the probability distribution of the system LSC and of all the quantities which characterize the state of the network in this particular condition. A numerical example is included to illustrate the usefulness of the proposed technique.
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