Assessment of a multiperiod optimal power flow for power system operation

The optimal power flow is an important tool for power system planning and power system operation. The optimal power flow is used in a 24-hour period to find an economic dispatch of generating units considering network restrictions. The optimal power flow provides valuable information about the opera...

Full description

Autores:
Moreno-Chuquen, Ricardo
Cantillo Luna, Sergio Alejandro
Tipo de recurso:
Article of journal
Fecha de publicación:
2020
Institución:
Universidad Autónoma de Occidente
Repositorio:
RED: Repositorio Educativo Digital UAO
Idioma:
eng
OAI Identifier:
oai:red.uao.edu.co:10614/13288
Acceso en línea:
https://hdl.handle.net/10614/13288
Palabra clave:
Energía eólica
Producción de energía eléctrica
Electric power production
Generation
Optimal power flow
Wind power
Optimization
Power systems
Renewable energy
Rights
openAccess
License
Derechos reservados - Praise Worthy Prize, 2020
Description
Summary:The optimal power flow is an important tool for power system planning and power system operation. The optimal power flow is used in a 24-hour period to find an economic dispatch of generating units considering network restrictions. The optimal power flow provides valuable information about the operation cost, transmission flows, generation and congestion in the system. This information is used by generators, planners, operators and regulators to analyze and take decisions about the system at short and long term. At short term corresponds to information for the operation. At long term corresponds to information for the planning. This paper proposes a detailed optimal power flow formulation looking for a minimum cost of generation considering wind generation. Five solvers were used in order to compare differences between them. The solvers used are CBC, CLP, CPLEX, Gurobi and GLPK. These solvers are commonly used to solve the multiperiod DC optimal power flow. An IEEE-24 test system is used to compare the solutions provided by the solvers. The findings reveal significant differences between the solvers when they are used to solve the IEEE-24 test system. Additionally, the computing time for each solver is reported. The solvers CPLEX y Gurobi exhibits the lower computational time to find a solution