Distribution Network Power Loss Analysis Considering Uncertainties in Distributed Generations

Hongmei Li, Hantao Cui and Chunjie Li
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Hongmei Li: School of Electrical Engineering and Automation, Jiangsu Normal University, Xuzhou 221100, China
Hantao Cui: Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN 37996, USA
Chunjie Li: School of Electrical Engineering and Automation, Jiangsu Normal University, Xuzhou 221100, China

Sustainability, 2019, vol. 11, issue 5, 1-17

Abstract: Distribution network loss analysis is crucial for the economic operation in residential distribution networks. The increasing level of distributed generation (DG) has considerably improved the overall sustainability but raised the uncertainty in system losses and exacerbated voltage profiles. This paper presents a nodal distribution loss analysis approach in which the losses induced by loads and DGs are calculated recursively. In order to characterize the uncertainty, the Latin hypercube sampling (LHS)-based approach is presented for obtaining DG output samples. Further, the LHS-based sampling and loss analysis methods are combined into a proposed stochastic framework for loss analysis, which takes into account the DG output uncertainty. Case studies on a 36-bus radial distribution network verified the stochastic loss analysis method. Compared with the simple random sampling method, the proposed LHS-based stochastic loss analysis method can reach the same accuracy level for nodal voltages and losses more efficiently.

Keywords: distribution loss analysis; stochastic analysis; distribution power flow; Latin hypercube sampling; distributed generation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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