Dynamic economic dispatch with maximal renewable penetration under renewable obligation

dc.contributor.authorHlalele, Thabo Gregory
dc.contributor.authorNaidoo, Raj
dc.contributor.authorZhang, Jiangfeng
dc.contributor.authorBansal, Ramesh C.
dc.date.accessioned2020-12-29T07:02:03Z
dc.date.available2020-12-29T07:02:03Z
dc.date.issued2020-02
dc.description.abstractThis 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.departmentElectrical, Electronic and Computer Engineeringen_ZA
dc.description.librarianhj2020en_ZA
dc.description.sponsorshipThe South African National Development Institute and the University of Pretoria.en_ZA
dc.description.urihttp://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639en_ZA
dc.identifier.citationT. 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.issn2169-3536 (online)
dc.identifier.other10.1109/ACCESS.2020.2975674
dc.identifier.urihttp://hdl.handle.net/2263/77514
dc.language.isoenen_ZA
dc.publisherInstitute of Electrical and Electronics Engineersen_ZA
dc.rightsThis work is licensed under a Creative Commons Attribution 4.0 License.en_ZA
dc.subjectDynamic economic dispatchen_ZA
dc.subjectMulti-objective optimisationen_ZA
dc.subjectPareto optimal solutionen_ZA
dc.subjectPhotovoltaic power plantsen_ZA
dc.subjectRenewable energy obligationen_ZA
dc.subjectRenewable energy sourcesen_ZA
dc.subjectSpinning reserve requirementen_ZA
dc.subjectWeibull probability density functionen_ZA
dc.subjectWind farmsen_ZA
dc.titleDynamic economic dispatch with maximal renewable penetration under renewable obligationen_ZA
dc.typeArticleen_ZA

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