Active distribution network; real-time control; voltage control; model predictive control
Abstract :
[en] A two-level real-time voltage control scheme is proposed to keep voltages within specified limits in distribution grids using Distributed Generation Units (DGUs). It combines a local and a centralized control of their reactive powers. The local control provides fast response after a disturbance, reducing its impact and enhancing voltage quality. The centralized control uses measurements collected throughout the network to bring the voltages inside tighter limits and balance the various DGU contributions. To this purpose, it adjusts in a coordinated way their reactive power set-points, taking into account the local controls. This discrete control solves at each time step a multi-time-step constrained optimization inspired of Model Predictive Control. The method effectiveness is demonstrated on a 75-bus test system hosting 22 DGUs.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Soleimani Bidgoli, Hamid ; Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Van Cutsem, Thierry ; Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Language :
English
Title :
Combined Local and Centralized Voltage Control in Active Distribution Networks
Publication date :
March 2018
Journal title :
IEEE Transactions on Power Systems
ISSN :
0885-8950
Publisher :
IEEE
Volume :
33
Issue :
2
Pages :
1374-1384
Peer reviewed :
Peer Reviewed verified by ORBi
Name of the research project :
GREDOR
Funders :
Service public de Wallonie : Direction générale opérationnelle de l'aménagement du territoire, du logement, du patrimoine et de l'énergie - DG04 F.R.S.-FNRS - Fonds de la Recherche Scientifique
scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.
Bibliography
Gemine, Q., Karangelos, E., Ernst, D., Cornelusse, B., Active network Management: Planning under uncertainty for exploiting loadmodulation (2013) Proc. 2013 IREP Symp. Bulk Power Syst.Dynamics Control - IX Optim., Security Control Emerg. Power Grid, pp. 1-9
Evangelopoulos, V.A., Georgilakis, P.S., Hatziargyriou, N.D., Optimal operation of smart distribution Networks: A review of models, methods and future research (2016) Elect. Power Syst. Res., 140, pp. 95-106. , Nov
Kotsampopoulos, P., Hatziargyriou, N., Bletterie, B., Lauss, G., Review, analysis and recommendations on recent guidelines for the provision of ancillary services by distributed generation (2013) Proc. 2013 IEEE Int. Workshop Intell. Energy Syst., pp. 185-190
Integrating distributed generation using decentralised voltage regulation (2010) Proc. IEEE Power Energy Soc. Gen.Meeting, pp. 1-6. , Minneapolis,USA
Sansawatt, T., Ochoa, L.F., Harrison, G.P., Smart decentralized control of DG for voltage and thermal constraint management (2012) IEEE Trans. Power Syst., 27 (3), pp. 1637-1645. , Aug
Robbins, B.A., Hadjicostis, C.N., Dominguez-Garcia, A.D., A two-stage distributed architecture for voltage control in power distribution systems (2013) IEEE Trans. Power Syst., 28 (2), pp. 1470-1482. , May
Vovos, P.N., Kiprakis, A.E., Wallace, A.R., Harrison, G.P., Centralized and distributed voltage control: Impact on distributed generation penetration (2007) IEEE Trans. Power Syst., 22 (1), pp. 476-483. , Feb
Vaccaro, A., Zobaa, A.F., Voltage regulation in active networks by distributed and cooperative meta-heuristic optimizers (2013) Elect. Power Syst. Res., 99, pp. 9-17
Seack, A., Kays, J., Rehtanz, C., Time series based distribution grid planning approach with decentralised voltage regulation (2014) Proc. IEEE Power Syst. Comput. Conf., pp. 1-7
Valverde, G., Van Cutsem, T., Model predictive control of voltages in active distribution networks (2013) IEEE Trans. Smart Grid, 4 (4), pp. 2152-2161. , Dec
Soleimani Bidgoli, H., Glavic, M., Van Cutsem, T., Model predictive control of congestion and voltages problems in active distribution networks (2014) Proc. CIRED Workshop, , Jun. paper no. 0108
Soleimani Bidgoli, H., Glavic, M., Van Cutsem, T., Receding-horizon control of distributed generation to correct voltage or thermal violations and track desired schedules (2016) Proc. 19th Power Syst. Comput. Conf., Genoa, Italy, pp. 1-8. , Jun
Maciejowski, J.M., (2002) Predictive Control with Constraints, , Englewood Cliffs, NJ, USA: Prentice-Hall
Qin, S.J., Badgwell, T.A., A survey of industrial model predictive control technology (2003) Control Eng. Practice, 11 (7), pp. 733-764
Alnaser, S.W., Ochoa, L.F., Advanced network management systems: A risk-based AC OPF approach (2015) IEEE Trans. Power Syst., 30 (1), pp. 409-418. , Jan
Farina, M., Guagliardi, A., Mariani, F., Sandroni, C., Scattolini, R., Model predictive control of voltage profiles in MV networks with distributed generation (2015) Control Eng. Practice, 34, pp. 18-29
Chistyakov, Y., Kholodova, E., Netreba, K., Szabo, A., Metzger, M., Combined central and local control of reactive power in electrical grids with distributed generation (2012) Proc. 2012 IEEE Int. Energy Conf. Exhib., pp. 325-330
Jayasekara, N., Wolfs, P., Masoum, M.A.S., An optimal management strategy for distributed storages in distribution networks with high penetrations of PV (2014) Elect. Power Syst. Res., 116, pp. 147-157
Backes, J., Schorn, C., Basse, H., Cost-efficient integration of dispersed generation using voltage dependent reactive power control (2010) Proc. CIRED Workshop, , Jun. paper no. 0107
Turitsyn, K., Sulc, P., Backhaus, S., Chertkov, M., Options for control of reactive power by distributed photovoltaic generators (2011) Proc. IEEE, 99 (6), pp. 1063-1073. , Jun
Kerber, T., Kerber, G., Werner, M., Finkel, M., Wiest, M., Decentralized voltage control in 20 kV distribution grids by controlling reactive power of inverters (2014) Proc. CIRED Workshop, , paper no. 0112
Rylander, M., Li, H., Smith, J., Sunderman, W., Default volt-var inverter settings to improve distribution system performance (2016) Proc. IEEE Power Eng. Soc. Gen. Meeting, pp. 1-5. , Boston, USA
Clark, K., Miller, N.W., Sanchez-Gasca, J.J., Modeling of GE wind turbine-generators for grid studies (2010) General Electric International, , Schenectady, NY, USA, Version 4.5
Valverde, G., Orozco, J., Reactive power limits in distributed generators from generic capability curves (2014) Proc. IEEE Power Eng. Soc. General Meeting, pp. 1-5. , Washington, DC, USA
Mayne, D.Q., Rawlings, J.B., Rao, C.V., Scokaert, P.O., Constrained model predictive control: Stability and optimality (2000) Automatica, 36 (6), pp. 789-814
(2005) United Kingdom Generic Distribution Network (UKGDS), , http://sedg.ac.uk, Nov. [Online]
Hurley, J.D., Bize, L.N., Mummert, C.R., The adverse effects of excitation system var and power factor controllers (1999) IEEE Trans. Energy Convers., 14 (4), pp. 1636-2165. , Dec
(2015) Requirements for Generating Plants to Be Connected in Parallel with DistributionNetworks - Part 2:Connection to AMVDistributionNetwork, , CENELEC Technical Specification CLC/TS 50549-2
Aristidou, P., Lebeau, S., Van Cutsem, T., Power system dynamic simulations using a parallel two-level schur-complement decomposition (2016) IEEE Trans. Power Syst., , http://orbi.ulg.ac.be/handle/2268/189192, [Online]
(2011) Acollection of Fortran Codes for Large Scale Scientific Computation, , http://www.hsl.rl.ac.uk, [Online]
Similar publications
Sorry the service is unavailable at the moment. Please try again later.
This website uses cookies to improve user experience. Read more
Save & Close
Accept all
Decline all
Show detailsHide details
Cookie declaration
About cookies
Strictly necessary
Performance
Strictly necessary cookies allow core website functionality such as user login and account management. The website cannot be used properly without strictly necessary cookies.
This cookie is used by Cookie-Script.com service to remember visitor cookie consent preferences. It is necessary for Cookie-Script.com cookie banner to work properly.
Performance cookies are used to see how visitors use the website, eg. analytics cookies. Those cookies cannot be used to directly identify a certain visitor.
Used to store the attribution information, the referrer initially used to visit the website
Cookies are small text files that are placed on your computer by websites that you visit. Websites use cookies to help users navigate efficiently and perform certain functions. Cookies that are required for the website to operate properly are allowed to be set without your permission. All other cookies need to be approved before they can be set in the browser.
You can change your consent to cookie usage at any time on our Privacy Policy page.