Forecasting and Planning for Hebron Electrical Power System

dc.contributor.advisorZaro, Fouad
dc.contributor.authorKatbeh, Alaa
dc.contributor.authorRayyan, Saleem
dc.contributor.authorQafesheh, Fayez
dc.date.accessioned2018-02-15T09:34:13Z
dc.date.accessioned2022-05-19T10:46:32Z
dc.date.available2018-02-15T09:34:13Z
dc.date.available2022-05-19T10:46:32Z
dc.date.issued2017-05-31
dc.descriptionCD , 30149,2017, no of pages 88 , طاقة 6/2017 ,in the storeen_US
dc.description.abstractPalestinian electrical power distribution companies nowadays are trying to seek to not rely on imported electricity from Israeli generation companies. Due to the importance of the up-mentioned case, studying the power demand load growth for Hebron electrical company became very necessary and important. Furthermore, a planning process should take place to take an accurate decision for the generation unit that must be constructed to fulfill the required demand, under the cooperation with the Palestinian energy and natural resources authority, and under optimal specified conditions and constraints. The regression model was used to forecast and predict the load growth for HEPCO concession areas from 2016 to 2035 depending on six factors like population, load factor, power system losses, gross domestic product, gross domestic product per capita, and the cost of one kilowatt-Hour. these factors are differing from one country to another and they affect the demand growth in Hebron in general. Four power plants with different fuel types and with different capacities are represented within Hebron geographical borders as a solution for the separation process from the Israeli control. These plants have been extensively studied and constructed from an economic point of view according to the used fuel type, moreover an estimation process of the output power and fuel consumption of each generating unit is achieved at minimum fuel cost.en_US
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/6136
dc.language.isoenen_US
dc.publisherPalestine Polytechnic University , electrical engineeringen_US
dc.subjectLoad Forecasting, Planning, Regression Method, Optimal Power Flow, Economic Dispatch, Optimal Constraint, Fuel Cost Curve, Power World, MATLAB- Simulink.en_US
dc.titleForecasting and Planning for Hebron Electrical Power Systemen_US
dc.typeOtheren_US

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