Matches in SemOpenAlex for { <https://semopenalex.org/work/W2340447504> ?p ?o ?g. }
- W2340447504 endingPage "300" @default.
- W2340447504 startingPage "287" @default.
- W2340447504 abstract "Abstract This paper proposes a stochastic optimization technique for solving the Voltage/VAr control problem including the load demand and Renewable Energy Resources (RERs) variation. The RERs often take along some inputs like stochastic behavior. One of the important challenges i. e., Voltage/VAr control is a prime source for handling power system complexity and reliability, hence it is the fundamental requirement for all the utility companies. There is a need for the robust and efficient Voltage/VAr optimization technique to meet the peak demand and reduction of system losses. The voltages beyond the limit may damage costly sub-station devices and equipments at consumer end as well. Especially, the RERs introduces more disturbances and some of the RERs are not even capable enough to meet the VAr demand. Therefore, there is a strong need for the Voltage/VAr control in RERs environment. This paper aims at the development of optimal scheme for Voltage/VAr control involving RERs. In this paper, Latin Hypercube Sampling (LHS) method is used to cover full range of variables by maximally satisfying the marginal distribution. Here, backward scenario reduction technique is used to reduce the number of scenarios effectively and maximally retain the fitting accuracy of samples. The developed optimization scheme is tested on IEEE 24 bus Reliability Test System (RTS) considering the load demand and RERs variation." @default.
- W2340447504 created "2016-06-24" @default.
- W2340447504 creator A5057166510 @default.
- W2340447504 creator A5070234944 @default.
- W2340447504 date "2016-04-21" @default.
- W2340447504 modified "2023-09-25" @default.
- W2340447504 title "Feasibility of Stochastic Voltage/VAr Optimization Considering Renewable Energy Resources for Smart Grid" @default.
- W2340447504 cites W1207947484 @default.
- W2340447504 cites W1486460655 @default.
- W2340447504 cites W1505806695 @default.
- W2340447504 cites W1596511864 @default.
- W2340447504 cites W1860323586 @default.
- W2340447504 cites W1969609799 @default.
- W2340447504 cites W1975833767 @default.
- W2340447504 cites W1978023642 @default.
- W2340447504 cites W1981670580 @default.
- W2340447504 cites W1991008596 @default.
- W2340447504 cites W1996399465 @default.
- W2340447504 cites W1997314334 @default.
- W2340447504 cites W2000867295 @default.
- W2340447504 cites W2000938693 @default.
- W2340447504 cites W2029635009 @default.
- W2340447504 cites W2032325349 @default.
- W2340447504 cites W2036102527 @default.
- W2340447504 cites W2039183224 @default.
- W2340447504 cites W2041660730 @default.
- W2340447504 cites W2045289097 @default.
- W2340447504 cites W2056190120 @default.
- W2340447504 cites W2056636551 @default.
- W2340447504 cites W2064234299 @default.
- W2340447504 cites W2065674786 @default.
- W2340447504 cites W2076355463 @default.
- W2340447504 cites W2109366546 @default.
- W2340447504 cites W2119017405 @default.
- W2340447504 cites W2120132160 @default.
- W2340447504 cites W2125755323 @default.
- W2340447504 cites W2126082093 @default.
- W2340447504 cites W2130222447 @default.
- W2340447504 cites W2130222651 @default.
- W2340447504 cites W2132833284 @default.
- W2340447504 cites W2146738239 @default.
- W2340447504 cites W2152821757 @default.
- W2340447504 cites W2156716053 @default.
- W2340447504 cites W2175698703 @default.
- W2340447504 cites W2179417658 @default.
- W2340447504 cites W2206771742 @default.
- W2340447504 cites W2213493946 @default.
- W2340447504 cites W2289258910 @default.
- W2340447504 cites W2547887385 @default.
- W2340447504 cites W2553099395 @default.
- W2340447504 cites W4246758250 @default.
- W2340447504 doi "https://doi.org/10.1515/ijeeps-2016-0009" @default.
- W2340447504 hasPublicationYear "2016" @default.
- W2340447504 type Work @default.
- W2340447504 sameAs 2340447504 @default.
- W2340447504 citedByCount "8" @default.
- W2340447504 countsByYear W23404475042016 @default.
- W2340447504 countsByYear W23404475042017 @default.
- W2340447504 countsByYear W23404475042018 @default.
- W2340447504 countsByYear W23404475042020 @default.
- W2340447504 countsByYear W23404475042022 @default.
- W2340447504 crossrefType "journal-article" @default.
- W2340447504 hasAuthorship W2340447504A5057166510 @default.
- W2340447504 hasAuthorship W2340447504A5070234944 @default.
- W2340447504 hasBestOaLocation W23404475041 @default.
- W2340447504 hasConcept C10558101 @default.
- W2340447504 hasConcept C105795698 @default.
- W2340447504 hasConcept C11413529 @default.
- W2340447504 hasConcept C119599485 @default.
- W2340447504 hasConcept C121332964 @default.
- W2340447504 hasConcept C126255220 @default.
- W2340447504 hasConcept C127413603 @default.
- W2340447504 hasConcept C137836250 @default.
- W2340447504 hasConcept C163258240 @default.
- W2340447504 hasConcept C165801399 @default.
- W2340447504 hasConcept C187691185 @default.
- W2340447504 hasConcept C188573790 @default.
- W2340447504 hasConcept C194387892 @default.
- W2340447504 hasConcept C19499675 @default.
- W2340447504 hasConcept C200601418 @default.
- W2340447504 hasConcept C206658404 @default.
- W2340447504 hasConcept C20820323 @default.
- W2340447504 hasConcept C2524010 @default.
- W2340447504 hasConcept C2779438525 @default.
- W2340447504 hasConcept C33923547 @default.
- W2340447504 hasConcept C41008148 @default.
- W2340447504 hasConcept C43214815 @default.
- W2340447504 hasConcept C62520636 @default.
- W2340447504 hasConceptScore W2340447504C10558101 @default.
- W2340447504 hasConceptScore W2340447504C105795698 @default.
- W2340447504 hasConceptScore W2340447504C11413529 @default.
- W2340447504 hasConceptScore W2340447504C119599485 @default.
- W2340447504 hasConceptScore W2340447504C121332964 @default.
- W2340447504 hasConceptScore W2340447504C126255220 @default.
- W2340447504 hasConceptScore W2340447504C127413603 @default.
- W2340447504 hasConceptScore W2340447504C137836250 @default.
- W2340447504 hasConceptScore W2340447504C163258240 @default.
- W2340447504 hasConceptScore W2340447504C165801399 @default.