Grid Code-Dependent Frequency Control Optimization in Multi-Terminal DC Networks

Melanie Hoffmann, Harold R. Chamorro, Marc René Lotz, José M. Maestre, Kumars Rouzbehi, Francisco Gonzalez-Longatt, Michael Kurrat, Lazaro Alvarado-Barrios and Vijay K. Sood
Additional contact information
Melanie Hoffmann: Institute for High Voltage Technology and Power Systems, Braunschweig University of Technology, 2, 38106 Braunschweig, Germany
Harold R. Chamorro: Departamento de Ingenierıa de Sistemas y Automatica, Universidad de Sevilla, 4, 41004 Seville, Spain
Marc René Lotz: Institute of Electrical Systems and Automation Technology (IfEA), Ostfalia University of Applied Sciences, 38302 Wolfenbüttel, Germany
José M. Maestre: Departamento de Ingenierıa de Sistemas y Automatica, Universidad de Sevilla, 4, 41004 Seville, Spain
Kumars Rouzbehi: Departamento de Ingenierıa de Sistemas y Automatica, Universidad de Sevilla, 4, 41004 Seville, Spain
Francisco Gonzalez-Longatt: Department of Electrical Engineering, IT and Cybernetics, University of South-Eastern Norway, 40, 3679 Notodden, Norway
Michael Kurrat: Institute for High Voltage Technology and Power Systems, Braunschweig University of Technology, 2, 38106 Braunschweig, Germany
Lazaro Alvarado-Barrios: Departamento de Ingeniería, Universidad Loyola Andalucía, 4, 41004 Seville, Spain
Vijay K. Sood: Electrical, Computer and Software Engineering, Ontario Tech University, Oshawa, ON L1H 7K4, Canada

Energies, 2020, vol. 13, issue 24, 1-21

Abstract: The increasing deployment of wind power is reducing inertia in power systems. High-voltage direct current (HVDC) technology can help to improve the stability of AC areas in which a frequency response is required. Moreover, multi-terminal DC (MTDC) networks can be optimized to distribute active power to several AC areas by droop control setting schemes that adjust converter control parameters. To this end, in this paper, particle swarm optimization (PSO) is used to improve the primary frequency response in AC areas considering several grid limitations and constraints. The frequency control uses an optimization process that minimizes the frequency nadir and the settling time in the primary frequency response. Secondly, another layer is proposed for the redistribution of active power among several AC areas, if required, without reserving wind power capacity. This method takes advantage of the MTDC topology and considers the grid code limitations at the same time. Two scenarios are defined to provide grid code-compliant frequency control.

Keywords: MTDC; frequency control; fast frequency control; low-inertia; wind power; grid code; non-synchronous generation; python-PSCAD-interface; particle swarm optimization (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: 2020
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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