Eghbali, O., Kazemzadeh, R., Amiri, K. (2020). Multi-Area State Estimation Based on PMU Measurements in Distribution Networks. Journal of Operation and Automation in Power Engineering, 8(1), 65-74. doi: 10.22098/joape.2019.5798.1434

O. Eghbali; R. Kazemzadeh; K. Amiri. "Multi-Area State Estimation Based on PMU Measurements in Distribution Networks". Journal of Operation and Automation in Power Engineering, 8, 1, 2020, 65-74. doi: 10.22098/joape.2019.5798.1434

Eghbali, O., Kazemzadeh, R., Amiri, K. (2020). 'Multi-Area State Estimation Based on PMU Measurements in Distribution Networks', Journal of Operation and Automation in Power Engineering, 8(1), pp. 65-74. doi: 10.22098/joape.2019.5798.1434

Eghbali, O., Kazemzadeh, R., Amiri, K. Multi-Area State Estimation Based on PMU Measurements in Distribution Networks. Journal of Operation and Automation in Power Engineering, 2020; 8(1): 65-74. doi: 10.22098/joape.2019.5798.1434

Multi-Area State Estimation Based on PMU Measurements in Distribution Networks

^{}Faculty of Electrical Engineering, Sahand University of Technology, Tabriz, Iran.

Receive Date: 18 February 2019,
Revise Date: 11 June 2019,
Accept Date: 08 July 2019

Abstract

State estimation in the energy management center of active distribution networks has attracted many attentions. Considering an increase in complexity and real-time management of active distribution networks and knowing the network information at each time instant are necessary. This article presents a two-step multi-area state estimation method in balanced active distribution networks. The proposed method is based on the location of PMU measurements of the network. The network is divided into several sub-areas about PMUs in the first step. A local sate estimation is implemented in each sub-area. The estimated values of the first step along with real measurements are used as measurements for second step estimation. The measurements are located in each sub-area using these values based on the ellipse area method, and the best location of measurements is extracted. Therefore, a second step state estimation including integrated state estimation of the whole network is performed by using the measurements obtained and located from the first step. The estimation results of the first step are used in the second step which improve the estimation accuracy. Simulations are performed on a standard IEEE 69-bus network to validate the proposed method.

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