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Forecasting and Planning for Hebron Electrical Power System

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dc.contributor.advisor Zaro, Fouad
dc.contributor.author Katbeh, Alaa
dc.contributor.author Rayyan, Saleem
dc.contributor.author Qafesheh, Fayez
dc.date.accessioned 2018-02-15T09:34:13Z
dc.date.accessioned 2022-05-19T10:46:32Z
dc.date.available 2018-02-15T09:34:13Z
dc.date.available 2022-05-19T10:46:32Z
dc.date.issued 2017-05-31
dc.identifier.uri http://localhost:8080/xmlui/handle/123456789/6136
dc.description CD , 30149,2017, no of pages 88 , طاقة 6/2017 ,in the store en_US
dc.description.abstract Palestinian 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.language.iso en en_US
dc.publisher Palestine Polytechnic University , electrical engineering en_US
dc.subject Load Forecasting, Planning, Regression Method, Optimal Power Flow, Economic Dispatch, Optimal Constraint, Fuel Cost Curve, Power World, MATLAB- Simulink. en_US
dc.title Forecasting and Planning for Hebron Electrical Power System en_US
dc.type Other en_US


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