Short Term Hydropower Planning in the Icelandic System

The format the text is saved as is unreadable, so i retyped it to my best ability. This master thesis contains my work of studies of a short term planning model, with the time span of one week, or 168 hours. The models are based on the future hydropower system in pjorsa- and Tungnaa- river system, l...

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Bibliographic Details
Main Author: Björnsson, Gudmundur
Format: Bachelor Thesis
Language:English
Published: KTH, Elektriska energisystem 2009
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-119241
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Summary:The format the text is saved as is unreadable, so i retyped it to my best ability. This master thesis contains my work of studies of a short term planning model, with the time span of one week, or 168 hours. The models are based on the future hydropower system in pjorsa- and Tungnaa- river system, located in the south part of Iceland. The purpose ot this thesis is to formulate and develop one week operation schedules for this future power generation system, which for a given inflow-and load forecast returns a good schedule for each power stations in the system. The planning problem is formulated as a mathematical programming problem. The models used to describe and implement the system under study are a piecewise linear models. For piecewise linear models the breakpoints of the model are the local best-efficiency points. The objective is to return operation plan for each power station in the system, where the the volume of stored water in the end of the planning period is maximized through optimal discharge plans. It is needed to supply contracted load, regulation- and balance power for each hour during the planning period under study. Two test cases are made for each model in this theises. The former case describe winter operation, with high consumptions and lower natural inflow to the reservoirs. In the latter case the consumption is low and river inflow high and is meant to describe summer time operation. Obtained results show that piecewise linear model gives more realistic results when the load consumption is high and the inflow is low. During summer time, with low load and high inflow. The piecewise linear models schedule more often discharge not on local best-efficiency points. This behavior can be decreased by insertion a penalty cost of discharge changes.