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Multi-Objective Approach for Hydro Governors Control Tuning (CROSBI ID 697018)

Prilog sa skupa u zborniku | ostalo | međunarodna recenzija

Chamorro, Harold R. ; Gonzalez-Longat, Francisco ; Topić, Danijel ; Blondin, Maude J. ; Sood, Vijay K. Multi-Objective Approach for Hydro Governors Control Tuning // Proceedings of 2020 International Conference on Smart Systems and Technologies (SST) / Žagar, Drago (ur.). Osijek: Faculty of Electrical engineering, computer science and information technology Osijek, 2020. str. 1-6 doi: 10.1109/SST49455.2020.9264050

Podaci o odgovornosti

Chamorro, Harold R. ; Gonzalez-Longat, Francisco ; Topić, Danijel ; Blondin, Maude J. ; Sood, Vijay K.

engleski

Multi-Objective Approach for Hydro Governors Control Tuning

Electric power generation in Albania has been almost totally dependent on hydropower since the system inception. In the last decade, although modest, there has been an increased share of power produced from Renewable Energy Sources (RES), mostly from Solar Power Plants. Looking forward, the Albanian government has considered the promotion of Renewable Energy as an important part of energy policies. Some of the future targets are to increase more the share of injected Renewable Energy in terms of hydro, Photovoltaic (PV) and Wind. Wind Energy is one of the most discussed sources regarding renewable energy penetration. Starting from feasibility studies to the quality of power, there are many issues to be addressed before installations of Wind Energy can be considered. This paper gives an overview of the studies performed regarding System Frequency Response (SFR) by replacing hydro inertia with non-synchronous generation. The paper presents a study of frequency behavior under several penetration levels of non- synchronous generation. Also presented are the results of study cases which show how system frequency is affected when replacing hydro-power inertia with wind turbine converter inertia.

Frequency control , Power system stability , Power system dynamics , Hydroelectric power generation , Genetic algorithms , Time-frequency analysis , Renewable energy sources

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Podaci o prilogu

1-6.

2020.

objavljeno

10.1109/SST49455.2020.9264050

Podaci o matičnoj publikaciji

Proceedings of 2020 International Conference on Smart Systems and Technologies (SST)

Žagar, Drago

Osijek: Faculty of Electrical engineering, computer science and information technology Osijek

978-1-7281-9759-3

Podaci o skupu

International Conference on Smart Systems and Technologies 2020 (SST 2020)

predavanje

14.10.2020-16.10.2020

Osijek, Hrvatska

Povezanost rada

Elektrotehnika

Poveznice