Name: FELIPE NONATO CARDOSO SOBRAL JÚNIOR
Publication date: 15/10/2021
Advisor:
Name |
Role |
|---|---|
| AUGUSTO CÉSAR RUEDA MEDINA | Advisor * |
Examining board:
| Name |
Role |
|---|---|
| AUGUSTO CÉSAR RUEDA MEDINA | Advisor * |
| CLAINER BRAVIN DONADEL | External Examiner * |
| HELDER ROBERTO DE OLIVEIRA ROCHA | Internal Examiner * |
| OURESTE ELIAS BATISTA | Internal Examiner * |
Summary: According to data from October to Decembers 2020 energy information bulletin [1], Espírito Santo has 1683.7 MW of installed power. Approximately 63.91% of this amount comes from thermoelectric sources. The second most utilized source is hydraulic energy, corresponding to 31.31% of the total. The presence of hydroelectric plants (UHE - in portuguese), small hydroelectric plants (PCH) and electric generating plants (CGH) are considered. The rest of the installed power derives from two other sources: Solar Photovoltaic and Wind, being 4.6% through the former and 0.003% through the latter.
However, the data referring to the latter two sources relates only to the distributed micro and mini generation modalities, which have a maximum power limit of 5 MW installed. Besides this, approximately 50% of the energy consumed in the state is imported through connections with neighboring states, even though there is a proven potential for the exploration of power plants that make greater use of solar and wind sources in large scale by documents such as the wind atlas [2] and the solar atlas [3]. This work aims to analyse the operation of state of Espírito Santos electrical system, when an expansion is suggested for the generation park through solar and wind sources, considering the intermittency of these two sources and performing a forecast of the maximum generation of each of the suggested plants through the use of state transitions matrices defined by Markov Chains Theory. The operation points are to be found through the solution of an optimization problem whose objective functions consider the performance indexes: losses, cost of active generation, static voltage stability index and voltage profile index. These indexes are to be optimized individually and also considering a weighted sum of them. In the end, it is concluded that the maximum generation forecast is satisfactorily accomplished and different operation points are found according to the variation given to the weights of each index.
Keywords: Electrical System. Espírito Santo State. Solar Generation. Wind Generation. Optimization.
