Reserve Allocation of Photovoltaic Systems to Improve Frequency Stability in Hybrid Power Systems
Mehdi Tavakkoli,
Jafar Adabi,
Sasan Zabihi,
Radu Godina and
Edris Pouresmaeil
Additional contact information
Mehdi Tavakkoli: Department of Electrical Engineering and Automation, Aalto University, 02150 Espoo, Finland
Jafar Adabi: Faculty of Electrical and Computer Engineering, Babol (Noshirvani) University of Technology, Babol PO Box 484, Iran
Sasan Zabihi: ABB 54 Export Drive, Darwin Business Park, Darwin 0828, Australia
Radu Godina: C-MAST, University of Beira Interior, R. Fonte do Lameiro, 6201-001 Covilhã, Portugal
Edris Pouresmaeil: Department of Electrical Engineering and Automation, Aalto University, 02150 Espoo, Finland
Energies, 2018, vol. 11, issue 10, 1-19
Abstract:
This study suggests a model to include a solar power system or photovoltaic system (PV) in the control of frequency by taking into account a percentage of the PV power production for back-up reserve. This is done by investigating two scenarios: PV contribution in (1) initial primary frequency control and (2) entire primary frequency control. As explained in section three, 10% power of the PV modules which receive more than 400 w/m 2 irradiation is allocated for the power reserve. The power generation of photovoltaic systems depends largely on weather conditions which makes their output power associated with some degree of uncertainty. For this reason, in this paper, a PV system is considered along with conventional hydro and thermal units and they are modeled in MATLAB/Simulink (version 9.3, MathWorks, Natick, MA, USA) with the purpose of exploring the behavior of the intended method. In the next phase, for further studies, this system is extended to multi-area power systems including gas turbines. The results of the simulation demonstrated that the photovoltaic involvement in the control of frequency can successfully amend the frequency of the overall network. Not only it can decrease the overshoot and undershoot of the frequency response, it has the ability to improve the settling time as well, which helps the system reach the steady state easily and in shorter time. Specifically, the overshoot has reached nearly zero in both one area and two area systems and undershoot has declined up to 60% and 50% in the one area and two-area system, respectively. Considering settling time, while it had a negligible improvement in the one area system, it showed a remarkable enhancement in the two-area system, which improved from about 25 s to 6 s by using the proposed method.
Keywords: photovoltaic system (PV); frequency control; particle swarm optimization (PSO); PI controller; reserve power allocation (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: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:11:y:2018:i:10:p:2583-:d:172444
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