dc.contributor.author |
Musyoka, Paul M. |
|
dc.contributor.author |
Musau, Peter M. |
|
dc.contributor.author |
Nyete, Abraham |
|
dc.date.accessioned |
2022-11-23T07:45:12Z |
|
dc.date.available |
2022-11-23T07:45:12Z |
|
dc.date.issued |
2020 |
|
dc.identifier.citation |
2020 IEEE PES/IAS PowerAfrica |
en_US |
dc.identifier.isbn |
978-1-7281-6746-6 |
|
dc.identifier.uri |
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9219902 |
|
dc.identifier.uri |
http://repository.seku.ac.ke/handle/123456789/6996 |
|
dc.description |
DOI: 10.1109/PowerAfrica49420.2020.9219902 |
en_US |
dc.description.abstract |
Optimization of demand control in renewable energy micro-grids involves developing load shedding schemes and searching for the most optimum. With climate change campaign in favor of renewable energy micro-grids or integration to national grids, the stability of the systems becomes more unpredictable. Its therefore justified, technically and economically, to optimize both unit commitment plans to track the load curve closely and design load-shedding schemes that attain the voltage and frequency limits, while retaining maximum load on the grid. The study shows that through load-shedding, renewable energy micro-grids can be operated in the stable state at the expense of loads during times of severe power imbalances. Optimization of the load-shedding using PSO-GA technique ensure optimum amount of load is shed from the grid with each possible load shedding scheme getting evaluated first and selection of most effective scheme with priority for loads is accomplished. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
IEEE |
en_US |
dc.subject |
load shedding scheme |
en_US |
dc.subject |
renewable energy |
en_US |
dc.subject |
micro-grid |
en_US |
dc.subject |
transient stability |
en_US |
dc.subject |
under-frequency stability |
en_US |
dc.title |
Optimal load shedding scheme for a model renewable energy micro-grid |
en_US |
dc.type |
Article |
en_US |