INGAR   05399
INSTITUTO DE DESARROLLO Y DISEÑO
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
Unit commitment Scheduling including transmission constraints: a MILP formulation
Autor/es:
GONZALO ALVAREZ; MARIAN MARCOVECCHIO,; AGUIRRE PIO
Lugar:
Portoroz
Reunión:
Congreso; 26 European Symposium on Computer Aided Process Engineering; 2016
Institución organizadora:
Universidad de Maribor
Resumen:
The planning and operation of power systems is faced to complex and changing challenges. In consequence, it is always subject of scientific interest. The Unit commitment (UC) problem associated to thermal power generation is one of the most important and crucial level of decision in planning the generation of electric power, since in most of the interconnected systems, the power requirements are principally met by thermal generation units [1,2].The basic goal of UC problem is to determine the optimal schedule of generating units in a power system satisfying a given load demand and specific unit constraints. When transmission constraints are included the problem is known as Security-Constrained Unit Commitment (SCUC) problem.The economic impact of efficient scheduling of generating units is widely known. This paper presents a new approach to account for the SCUC problem, using deterministic optimization; specifically, it focuses in transmission constraints. The objective of SCUC problem is to determine the on/off states of all the generating units in the system, in order to minimize the operating cost, while operative constraints are satisfied, and the predicted load demand is fulfilled, as well as spinning reserve requirement. Adding transmission constraints have been a challenge to investigators for many years. One of the firsts and most widely cited papers which deal with transmission constraints appeared in 1995 [3].The present work is based on a previously developed UC formulation [4]. Transmission constraints are included by means of transmission lines power limits. When transmission lines are active, voltage angles differences between buses are linked to real power transmitted by the lines. By implementing the proposed model, problems of power systems with network restrictions can be solved in efficient computational times.A six-bus three generators with 11 transmission lines [5] and a 31-bus 16 generators with 43 transmission lines systems [6] are solved. Numerical tests show the effectiveness of the proposed approach.Other information derived from the optimal scheduling is also presented. The states of the lines and buses are discussed. This analysis alloçws lines and buses be ordered according to their relative contribution to the distribution network.The obtained results show not only how to operate the system in a more efficient way but also indicate where to emphasize maintenance and investments for renovation and expansion of networks.