Towards maximising the integration of renewable energy hybrid distributed generations for small signal stability enhancement: A review

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dc.contributor.authorAjeigbe, Olusayo A.
dc.contributor.authorMunda, Josiah L.
dc.contributor.authorHamam, Yskandar
dc.date.accessioned2023-12-05T11:07:55Z
dc.date.available2023-12-05T11:07:55Z
dc.date.issued2019-08-12
dc.description.abstractIntegrating renewable energy hybrid distributed generation (REHDG) into distribution network systems (DNSs) has become increasingly important because of various technical, economic, and environmental advantages accruing from it. However, the output power of REHDGs from photovoltaic (PV) and wind is highly variable because of its dependency on intermittent parameters such as solar irradiance, temperature, and wind speed. Such variability of generated power from large-scale REHDGs or load introduces small signal instabilities (oscillations). Meanwhile, different locations of integration and sizes of REHDGs in the DNS affect the system oscillation modes by either improving or depriving the small-signal stability (SSS) of the network. Consequently, a significant number of research has been conducted on the planning of optimal allocation of REHDGs in DNS. In this regard, this paper reviews the existing planning models, optimisation techniques, and resources' uncertainty modelling employed in REHDGs allocations in terms of their capability in obtaining optimal solutions and enhancing SSS of the system. Planning models with optimisation algorithms are evaluated for modelling renewable resource uncertainties and curtailing SSS variables. Researchworks on planning of optimal allocation of these generations attain minimum cost, but were unable to satisfy the SSS requirements of the system. The existing models for the planning and design of optimal timing, sizing, and placement of REHDGs will need to be improved to optimally allocate REHDGs and satisfy the SSS of the DNS after the integration.en_US
dc.description.sponsorshipTshwane University of Technology (TUT) and ESKOM Power Plant Engineering Institute (EPPEI) Specialisation Centre in Renewable Energy, and Power System Studies, Stellenbosch University, South Africa.en_US
dc.identifier.issn44:2379–2425
dc.identifier.urihttp://repository.acu.edu.ng:8080/jspui/handle/123456789/381
dc.language.isoen_USen_US
dc.publisherInternational Journal Energy Res. 2020en_US
dc.subjectdistribution networken_US
dc.subjectrenewable energyen_US
dc.subjectdistributed generationen_US
dc.subjectoptimization methodsen_US
dc.subjectsmall-signal stabilityen_US
dc.titleTowards maximising the integration of renewable energy hybrid distributed generations for small signal stability enhancement: A reviewen_US
dc.typeArticleen_US

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