Banca de DEFESA: ROBERTO FELIPE ANDRADE MENEZES

Uma banca de DEFESA de DOUTORADO foi cadastrada pelo programa.
STUDENT : ROBERTO FELIPE ANDRADE MENEZES
DATE: 27/10/2022
TIME: 14:00
LOCAL: Sala de Seminários - LDSP/DEE (4º andar do prédio administrativo do CTG)
TITLE:

DAILY OPERATION SCHEDULING AND PRICING IN MULTIPLE SCENARIOS CONSIDERING BATTERY ENERGY STORAGE SYSTEM.

KEY WORDS:

Daily operation scheduling. Power curtailment. Pricing.  Battery energy storage system. Risk analisys.

PAGES: 141
BIG AREA: Engenharias
AREA: Engenharia Elétrica
SUMMARY:

The Daily Operation Scheduling (DOS) gets new challenges while renewable energy is inserted into the power system. In addition to the operation, the variability of the power available by these sources also causes some problems due to system operating constraints, such as the Power Curtailment (or Constrained-off), and the hourly pricing variability, represented here by Locational Marginal Pricing (LMP). Therefore, available energy shifting applications, through the use of Battery Energy Storage System (BESS), can offer greater efficiency to the system, minimizing the negative effects caused by power variability. In this sense, this work shows a proposal to analyse the behaviour of the energy operation cost, the LMP and the Power Curtailment from the large-scale penetration of renewable energy sources with the presence of BESS. The methodology used integrates the solution of the DOS problem with a risk analysis based on different scenarios of wind and solar photovoltaic power generation. Moreover, these two sources are modelled to be dispatched, not mandatory, to be able to observe the Power Curtailment, and the impact of distributed generation on the expected load curve for the system is also considered. The DOS problem is formulated through the DC Optimal Power Flow and is solved by the Predictor-Corrector Interior Point method. This solution is part of the iterative algorithm used to couple the DOS problem with LMP, where electrical system losses and a fictitious nodal demand model are considered. Lastly, the analysis is performed using the adapted IEEE RTS 24-bus system with the generation, demand and distributed generation data from the Northeast subsystem. The simulation results are presented and discussed, demonstrating the effectiveness of the analysis and use of BESS to mitigate the total cost of the daily energy operation and the Power Curtailment.

COMMITTEE MEMBERS:
Externo ao Programa - 407565 - GERALDO LEITE TORRES - nullExterno ao Programa - 1237647 - JOSE FILHO DA COSTA CASTRO - nullExterno à Instituição - MANOEL AFONSO DE CARVALHO JUNIOR
Interno - 1543575 - PEDRO ANDRE CARVALHO ROSAS
Presidente - 1171041 - RONALDO RIBEIRO BARBOSA DE AQUINO