Dynamic economic dispatch with maximal renewable penetration under renewable obligation

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dc.contributor.author Hlalele, Thabo Gregory
dc.contributor.author Naidoo, Raj
dc.contributor.author Zhang, Jiangfeng
dc.contributor.author Bansal, Ramesh C.
dc.date.accessioned 2020-12-29T07:02:03Z
dc.date.available 2020-12-29T07:02:03Z
dc.date.issued 2020-02
dc.description.abstract This paper presents a multi-objective dynamic economic dispatch model with renewable obligation requirements. The two objective functions that are presented in this paper aim to increase the level of renewable energy sources in the grid while minimising the total operating cost and respecting the spinning reserves required to maintain continuity of supply. The proposed model incorporates thermal power plants, photovoltaic and wind power plants into the grid. The paper presents a Pareto optimal solution which is a compromise between maximising the renewable energy source generation while minimising the operating costs. A renewable obligation policy is implemented in the proposed model to ensure that renewable energy source generators are utilised and any failure to attain the required renewable obligation is penalised in line with the renewable obligation framework. The proposed model is modified into a single objective optimisation problem and numerical tests are performed on the modified IEEE 24 RTS system and IEEE 118 bus system to test the effectiveness of the model. A comparative study evaluates the impact of the proposed model on the traditional dynamic economic dispatch in terms of the achieved renewable energy source penetration level and economic performance. The numerical simulations show that the proposed model is robust and can attain high renewable energy source penetration levels. en_ZA
dc.description.department Electrical, Electronic and Computer Engineering en_ZA
dc.description.librarian hj2020 en_ZA
dc.description.sponsorship The South African National Development Institute and the University of Pretoria. en_ZA
dc.description.uri http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639 en_ZA
dc.identifier.citation T. G. Hlalele, R. M. Naidoo, J. Zhang and R. C. Bansal, "Dynamic Economic Dispatch With Maximal Renewable Penetration Under Renewable Obligation," in IEEE Access, vol. 8, pp. 38794-38808, 2020, doi: 10.1109/ACCESS.2020.2975674. en_ZA
dc.identifier.issn 2169-3536 (online)
dc.identifier.other 10.1109/ACCESS.2020.2975674
dc.identifier.uri http://hdl.handle.net/2263/77514
dc.language.iso en en_ZA
dc.publisher Institute of Electrical and Electronics Engineers en_ZA
dc.rights This work is licensed under a Creative Commons Attribution 4.0 License. en_ZA
dc.subject Dynamic economic dispatch en_ZA
dc.subject Multi-objective optimisation en_ZA
dc.subject Pareto optimal solution en_ZA
dc.subject Photovoltaic power plants en_ZA
dc.subject Renewable energy obligation en_ZA
dc.subject Renewable energy sources en_ZA
dc.subject Spinning reserve requirement en_ZA
dc.subject Weibull probability density function en_ZA
dc.subject Wind farms en_ZA
dc.title Dynamic economic dispatch with maximal renewable penetration under renewable obligation en_ZA
dc.type Article en_ZA


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