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dc.contributor.advisorDiwanji, Prajakta
dc.contributor.approverWache, Holger
dc.contributor.authorAccount, Thesis MSC BIS
dc.contributor.authorArsi, Irisa
dc.date.accessioned2017-09-05T18:19:35Z
dc.date.available2017-09-05T18:19:35Z
dc.date.issued2017-06-20
dc.identifier.urihttp://hdl.handle.net/11654/25424
dc.identifier.urihttp://dx.doi.org/10.26041/fhnw-1150
dc.description.abstractSwitzerland’s electricity consumption in 2014 was 59.3 TWh (Abrell, 2016) and continues to rise every year. As residential needs for electrical energy increase, so does the demand (Abrell, 2016; Filippini, 2011; IEA, 2012; Zhao et al, 2013). As a result, the necessary energy for meeting the demand cannot be provided by the power grid (Abrell, 2016; Filippini, 2011). The Swiss government has tried by applying new methods in price calculation for electricity to help shift the loads to different times (Abrell, 2016). Nevertheless, over- loadings and blackouts occur several times per year creating high maintenance costs (Abrell, 2016; Filippini, 2011), for the production companies which reflects to the users’ payments as well. On the one hand consumers' demand aims at electrical energy of high quality and reliability (Abrell, 2016), but on the other hand producers’ aim in less maintenance costs. A clear solution is needed for the demand and supply of Switzerland’s grid to balance. A new solution, a new methodology based not entirely in technology but also in the correct use of Information Systems. This paper will describe a new proposal, solution for the Swiss energy production and consumption to balance through energy scheduling and flexible pricing. Smart buildings and smart appliances, will provide users, with an ECO efficient use of the energy through the Information. The users can create their own demand schedule, in accordance to the calculated prices by the combination of RTP and IBR and their actual needs. During Real Time Electricity Pricing (RTP) prices can be generated hourly and transmitted to users. A problem that increases with RTP is that users tend to maximize the use of their appliances during the low peak prices and potentially create overloads, which could lead to instability of the grid or even a power blackout. In order, to avoid such problems, and secure except of flexible prices also reliability and stability for the system, RTP needs to be combined with the Inclining Block Rate (IBR) methodology. During IBR pricing prices can be calculated according to the loads. The combination of the two methodologies give the possibility to the users not only to schedule their energy use by time but loads as well. An important fact that rises through this proposal is the possibility, given to the energy production companies and the government, to balance the maintenance costs which will lead in saving thousands of francs every year by simply involving the end-users in the electric grid operation. Simply by giving the possibility to users to control their appliances’ consumption, for different periods, by reducing their consumption or shift their loads to low peak periods.
dc.language.isoen
dc.accessRightsAnonymous
dc.subject• RTP Real Time Pricing
dc.subject• IBR Inclining Block Rate
dc.subject• DR Demand Response
dc.subject• IS Information Systems
dc.subject• ICT Information Communication Technology
dc.subject• RTEP Real Time Electricity Prices
dc.subject• PAR Power Peak Ratio
dc.subject• TOU Time of Use
dc.subject• TOUR Time of Use Pricing
dc.subject• CPP Critical Peak Pricing
dc.subject• kWh Kilowatt- hour
dc.subject• TWh Terawatt- hour
dc.subject• RES Renewable Energy Sources
dc.subject• WEM Wholesale Energy Market
dc.subject• ES Energy Scheduling
dc.subject• FBE Free Basic Electricity
dc.subject• TSO Transmission system operator
dc.subject• RA Regulatory authority
dc.subject• ElCom Federal Electricity Commission
dc.subject• EMS Energy management system
dc.subject• EMC Energy management controller
dc.subject• AOA Automatically operated appliance
dc.subject• MOA Manually operated appliance
dc.subject• LOT Length operation time
dc.subject• OTI Operation time interval
dc.subject.ddc004 - Computer Wissenschaften, Internetde
dc.subject.ddc003 - Systemede
dc.titleLoad Control in Real Time Price Prediction
dc.type11 - Studentische Arbeit
dc.audienceScience
fhnw.StudentsWorkTypeMaster
fhnw.publicationStateUnpublished
fhnw.ReviewTypeNo peer review
fhnw.InventedHereYes
fhnw.PublishedSwitzerlandYes
fhnw.IsStudentsWorkyes


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