Document Type
Conference Item
Publication Date
1-1-2012
Abstract
This paper presents an effective method based on Particle Swarm Optimization (PSO) to identify the optimal measurement placement of power system state estimation. The main objective is to simplify the complexity in finding the best measurement placement and provide a high accuracy level of estimated state. The effectiveness of the proposed method is tested using the IEEE 30 bus system. Pseudo measurements of load injection are included as measurement data in assisting the state estimation computation. © 2012 IEEE.
Keywords
Measurement placement, Particle Swarm Optimization, State estimation and observability, Accuracy level, Bus systems, Estimated state, Measurement data, Optimal measurement placement, Power system state estimation, Pseudo measurements, Particle swarm optimization (PSO), State estimation
Divisions
fac_eng
Event Title
2012 IEEE International Conference on Power and Energy, PECon 2012
Event Location
Kota Kinabalu
Event Dates
2012
Event Type
conference
Additional Information
Conference code: 95813 Export Date: 17 April 2013 Source: Scopus Art. No.: 6450333 :doi 10.1109/PECon.2012.6450333 Language of Original Document: English Correspondence Address: Rosli, H.M.; Department of Electrical Engineering, University of Malaya, Kuala Lumpur, Malaysia; email: ckgan@utem.edu.my References: Monticelli, A., Wu, F.F., Network observability: theory (1985) IEEE Trans. on Power A, PAS-104 (5), pp. 1042-1048. , May; Monticelli, A., Wu, F.F., Network observability: identification of observable islands and measurement placement (1985) IEEE Trans. Power Syst, PAS-104 (5), pp. 1035-1039. , May; Clements, K.A., Krumpholz, G.R., Davis, P.W., Power system state estimation with measurement deficiency: An observability/measurement placement algorithm (1983) IEEE Trans. on Power A, PAS-102 (7), pp. 2012-2020. , July; Gou, B., Abur, A., An improved measurement placement algorithm for network observability (2001) IEEE Trans. on Power Syst, 16 (4), pp. 819-824. , Nov; Madtharad, C., Premrudeepreechacharm, S., Measurement placement method for power system state estimation: part i 2003, IEEE Power Engineering Society General Meeting, pp. 1629-1632; Celik, M.K., Liu, W.-H.E., An incremental measurement placement algorithm for state estimation (1995) IEEE Trans. on Power Syst, 10 (3), pp. 1698-1702. , Aug; Park, Y.M., Moon, Y.H., Choo, J.B., Kwon, T.W., Design of reliable measurement system for state estimation (1988) IEEE Trans. on Power Syst, 3 (3), pp. 830-836. , Aug; Kennedy, J., Eberhart, R., Particle Swarm Optimization. In Proc. IEEE Int. Conf. Neural Networks 1995. Perth, Australia; Fukuyama, Y., A particle swarm optimization for reactive power and voltage control considering voltage security assesment (2000) IEEE Trans. Power Syst, 15, pp. 1232-1239. , Nov Sponsors: IEEE Malaysia; IEEE Malaysia Power Electronics/Industrial; Electronics/Industrial Applications Joint Chapter; IEEE Malaysia Power and Energy Chapter