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Simulation of the interconnected/autonomous electric power system of Crete

Christena Angeliki

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Summary

The constant advancement of technology creates a new reality by contributing to the expansion of communication and ending the isolation of areas surrounded by the sea, allowing them to grow by interconnecting their telecommunication systems and electricity networks with other larger and more powerful networks.The Electric Power System of Crete represents the largest isolated electrical system in Greece.Due to the size of the island, its development, its location, but also its rich potential in RES, it is considered as one of the most interesting electrical autonomous systems for research. The forthcoming interconnection of Crete with the National Electricity Transmission System is a project that is going to contribute to:● ensuring the supply of the island, since a large part of the electricity supply will now be covered through the interconnections,● reducing significantly electricity generation costs and● upgrading the environment, but also the quality of life of the residents, due to the reduced consumption of fuel oil and diesel in production, as well as due to the development of RES, with the further installation of wind and solar parks.In the context of this thesis, the operation of the Electric Power System of Crete is considered, both as an autonomous system, and as an interconnected one with the National Electricity Transmission System. Initially, the existing Transmission system is simulated to study its current operation and production costs. The system is then modeled by introducing interconnection lines to the continental Power System, making it possible to serve the island's demand through interconnections, RES, and local production, if and when necessary.For the selected time period and scenarios, a DC optimal power flow (DC OPF) is performed first, with its results being used in the next stage of the implementation, which involves the execution of an AC optimal power flow (AC OPF), from which we calculate the losses and check all system constraints.The main criterion in all the implemented scenarios was the minimization of the total production costs and therefore, the determination of an optimal unit commitment schedule for low, medium or high wind production.The implementation of the present work and the execution of all the selected scenarios took place in the MATLAB environment with the joint application of the open source tools of MATPOWER Optimal Scheduling Tool (MOST) and MATPOWER.

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