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Development of a power system simulation model for a South African commercial entity’s reticulation network

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dc.contributor.author Kamera, Ketrine P
dc.contributor.author Hlatshwayo, Mluleki C
dc.contributor.author Moholisa, Tsolo E
dc.contributor.author Rampokanyo, Mpeli J
dc.contributor.author Tazvinga, Henerica
dc.date.accessioned 2018-11-07T07:34:04Z
dc.date.available 2018-11-07T07:34:04Z
dc.date.issued 2018-08
dc.identifier.citation Kamera, K.P. et al. 2018. Development of a power system simulation model for a South African commercial entity’s reticulation network. Workshop on Enhancing Nuclear Safety, Security and Safeguards in Southern African States, 29-31 August 2018, Lusaka, Zambia en_US
dc.identifier.uri http://hdl.handle.net/10204/10523
dc.description Paper presented at the Workshop on Enhancing Nuclear Safety, Security and Safeguards in Southern African States, 29-31 August 2018, Lusaka, Zambia en_US
dc.description.abstract Increasing electricity prices and the declining cost of renewables have led to several industrial, commercial and residential customers in South Africa pursuing the installation of generation “behind the meter” in order to reduce their electrical energy costs. This paper presents the process followed in developing a case file for a commercial entity to conduct steady-state power system studies to ensure safe, reliable and sustainable connection of distributed energy resources (DER) to the commercial entity’s grid. Field work was undertaken to develop the model parameters in DIgSILENT. It is observed that for existing connections it is not always easy to retrieve the correct information, leading to the need to make assumptions regarding some of the essential parameters. The methodology outlined in this paper can serve as a base for any entity needing to build a network model to gain insight into the grid impacts of DER on their network. en_US
dc.language.iso en en_US
dc.relation.ispartofseries Worklist;21634
dc.subject Embedded generation en_US
dc.subject Distributed generation en_US
dc.subject Network modelling en_US
dc.title Development of a power system simulation model for a South African commercial entity’s reticulation network en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Kamera, K. P., Hlatshwayo, M. C., Moholisa, T. E., Rampokanyo, M. J., & Tazvinga, H. (2018). Development of a power system simulation model for a South African commercial entity’s reticulation network. http://hdl.handle.net/10204/10523 en_ZA
dc.identifier.chicagocitation Kamera, Ketrine P, Mluleki C Hlatshwayo, Tsolo E Moholisa, Mpeli J Rampokanyo, and Henerica Tazvinga. "Development of a power system simulation model for a South African commercial entity’s reticulation network." (2018): http://hdl.handle.net/10204/10523 en_ZA
dc.identifier.vancouvercitation Kamera KP, Hlatshwayo MC, Moholisa TE, Rampokanyo MJ, Tazvinga H, Development of a power system simulation model for a South African commercial entity’s reticulation network; 2018. http://hdl.handle.net/10204/10523 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Kamera, Ketrine P AU - Hlatshwayo, Mluleki C AU - Moholisa, Tsolo E AU - Rampokanyo, Mpeli J AU - Tazvinga, Henerica AB - Increasing electricity prices and the declining cost of renewables have led to several industrial, commercial and residential customers in South Africa pursuing the installation of generation “behind the meter” in order to reduce their electrical energy costs. This paper presents the process followed in developing a case file for a commercial entity to conduct steady-state power system studies to ensure safe, reliable and sustainable connection of distributed energy resources (DER) to the commercial entity’s grid. Field work was undertaken to develop the model parameters in DIgSILENT. It is observed that for existing connections it is not always easy to retrieve the correct information, leading to the need to make assumptions regarding some of the essential parameters. The methodology outlined in this paper can serve as a base for any entity needing to build a network model to gain insight into the grid impacts of DER on their network. DA - 2018-08 DB - ResearchSpace DP - CSIR KW - Embedded generation KW - Distributed generation KW - Network modelling LK - https://researchspace.csir.co.za PY - 2018 T1 - Development of a power system simulation model for a South African commercial entity’s reticulation network TI - Development of a power system simulation model for a South African commercial entity’s reticulation network UR - http://hdl.handle.net/10204/10523 ER - en_ZA


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