Ukubikezela ukukhiqizwa kwamandla omoya nelanga
Machine-learning technology is being used to accurately predict energy generation from wind and solar for integration with the national grid, as part of a collaboration between I-Monash University's Grid Innovation Hub, U-Worley kanye nePalisade Energy.
The I-Australian Renewable Energy Agency (ARENA)-funded project aims to provide wind and solar power generators with more accurate and reliable five-minute-ahead self-forecasting tools.
Ngokuthuthukisa ukunemba kwezibikezelo zemizuzu emihlanu ezidingekayo Imakethe Kagesi Kazwelonke, izixazululo zokubikezela ezithuthukiswe ithimba le-Worley ne-Monash zingenza igridi evikeleke kakhulu futhi enokwethenjelwa. Lokhu kwenziwa ukuthi kwenzeke ngezibikezelo ezingcono zokunciphisa imvamisa yokuthunyelwa kabi, ngaleyo ndlela kusekelwe ingxenye ephezulu yezinto ezivuselelekayo emakethe ngaphandle kokuphazamisa ukuqina kwegridi iyonke.
The development of the machine learning forecasting methodology was led by Dr Christoph Bergmeir from the Department of Data Science and AI at the Faculty of Information Technology (IT) at Monash University, in collaboration with Monash Business School’s Department of Econometrics and Business Statistics, and was initiated by the Monash Energy Institute’s Grid Innovation Hub.
“Ukubikezela isikhathi esifushane amandla avuselelweko ukukhiqiza akuwona umsebenzi olula. Amandla avuselelekayo awakwazi ukukhiqizwa ngokufunwa, njengoba kubophezelekile okumbiwayo kwendalo njengomoya nelanga. Ngakho-ke, ukuze sizuze inethiwekhi ezinzile kanye nokukhiqizwa kwamandla anele, sidinga indlela ethembekile yokubikezela yesikhathi esifushane,” kusho uDkt Bergmeir.
“By introducing machine learning methodologies to this short-term forecasting process, we’re able to apply algorithms that are trained on historical time series data, resulting in the accurate forecasting of wind and solar energy.”
Izinzuzo ezibalulekile zale phrojekthi zihlanganisa ukwanda kwamandla avuselelekayo okungena kugridi ngenxa yokuthunyelwa okuthuthukisiwe kokuphehlwa okuvuselelekayo, kanye nokunciphisa izinkokhelo ezikhokhelwa amajeneretha okulawula imvamisa (i-FCAS) ngenxa yokwehluleka ukuhlangabezana nezinhloso zesibikezelo.
“Isixazululo sethu sokubikezela sinikeza inani elisheshayo kumakhasimende ethu akhona avuselelekayo njengoba eqondise ezindlekweni eziphansi ze-FCAS. Futhi nge I-PowerPredict officially launched, renewable generators in Australia and internationally can benefit from our power forecasting technology,” said Denis Marshment, Global Vice President of Data Science Customer Solutions at Worley.
Ucwaningo nokuthuthukiswa kwalawa mamodeli kulindeleke ukuthi kwengeze kulo lonke ulwazi mayelana nokusetshenziswa komshini wokufunda nobunye ubuchwepheshe be-AI ekubikezelweni komoya kanye nelanga.
“Ukushintshashintsha kwemvelo kwesimo sezulu kwenza kube nzima kumajeneretha avuselelekayo ukubikezela ngokunembile amazinga azo okuphehla ugesi wesikhashana, futhi lokhu kuba nomthelela ekuzinzeni kwamagridi. Ngo-2020 kuphela, ukubikezela kwamandla okungalungile kubiza amajeneretha ase-Australia ama-dollar ayizigidi ezingu-210, ngakho-ke ukusebenzisa ama-algorithms okufunda ngomshini ukubona imizuzu emihlanu ukuya esikhathini esizayo kubaluleke kakhulu. Ama-algorithms ethu okubikezela azuze ukuthuthuka okungama-45% ekubikezelweni kokuphuma kwamandla kwamakhasimende ethu,” kusho uMarshment.
Ubuchwepheshe bunamandla okwehlisa amanani entengo yamandla kuyo yonke indawo, futhi bungase buvule amathuba okusebenzisa amanzi nezinye izinhlobo zamandla ahlanzekile.
“Uma amajeneretha avuselelekayo ehlisa izinga lokukhokhela ugesi, angakhiqiza ugesi oshibhile, ekugcineni lokho kongiwa kungadluliselwa kumakhasimende. Kuzokwenza nezinto ezivuselelekayo ziqhudelane, okubuye kube umphumela ofiselekayo,” kusho uDkt Bergmeir.
USolwazi u-Ariel Liebman, uMqondisi weMonash Energy Institute, wengeze wathi, “Lesi isicelo esijabulisayo nesifike ngesikhathi seqembu lenkanyezi le-Monash Energy Institute's kanye neGrid Innovation Hub yekhompyutha yesayensi ne-AI. Le phrojekthi ikhombisa ukuthi imboni, emelwe ozakwethu abanombono u-Worley, kanye nezemfundo ingakha kanjani okwangempela umthelela together both commercially and in contributing to the global effort to stop climate change.”
Ukubikezela ukukhiqizwa kwamandla omoya nelanga yashicilelwa okokuqala ngu Izindaba Zokusimama.
