Full-Observable Three-Phase State Estimation Algorithm Applied to Electric Distribution Grids

Thiago Mota Soares, Ubiratan Holanda Bezerra and Maria Emília de Lima Tostes
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Thiago Mota Soares: Electrical Engineering Faculty, Institute of Technology, Federal University of Pará, Belém, PA 66075-110, Brazil
Ubiratan Holanda Bezerra: Electrical Engineering Faculty, Institute of Technology, Federal University of Pará, Belém, PA 66075-110, Brazil
Maria Emília de Lima Tostes: Electrical Engineering Faculty, Institute of Technology, Federal University of Pará, Belém, PA 66075-110, Brazil

Energies, 2019, vol. 12, issue 7, 1-16

Abstract: This paper proposes the development of a three-phase state estimation algorithm, which ensures complete observability for the electric network and a low investment cost for application in typical electric power distribution systems, which usually exhibit low levels of supervision facilities and measurement redundancy. Using the customers´ energy bills to calculate average demands, a three-phase load flow algorithm is run to generate pseudo-measurements of voltage magnitudes, active and reactive power injections, as well as current injections which are used to ensure the electrical network is full-observable, even with measurements available at only one point, the substation-feeder coupling point. The estimation process begins with a load flow solution for the customers´ average demand and uses an adjustment mechanism to track the real-time operating state to calculate the pseudo-measurements successively. Besides estimating the real-time operation state the proposed methodology also generates nontechnical losses estimation for each operation state. The effectiveness of the state estimation procedure is demonstrated by simulation results obtained for the IEEE 13-bus test network and for a real urban feeder.

Keywords: full-observable network; pseudo-measurements; weighted least square (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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