Document Type: Original Article
Faculty of Electrical and Computer Engineering, University of Birjand, Birjand, Iran.
Faculty of Electrical and Computer Engineering, University of Birjand, Birjand, Iran
Faculty of Electrical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran.
Considering load growth, the transmission network expansion planning is necessary for supplying the future needs. Furthermore, in restructured environments, transmission lines provide the required infrastructure for creating a competitive environment. In recent years, there has been a significant advancement in storage technologies. This advancement leads to using energy storages to postpone the construction or replacement of transmission lines. Therefore, in this paper, the problems of transmission expansion planning and energy storage systems deployment are investigated simultaneously. Considering the presence of storage devices and their effect on network operation cost, in this paper, the operation cost is modeled as an independent objective function along with investment cost. Moreover, the problems of transmission and storage expansion planning are modeled as a tri-objective optimization problem with the objectives of reducing costs and increasing social welfare index in the power market. The multi-objective shuffled frog leaping evolutionary algorithm is used to solve these problems. The presented model for expansion planning is implemented and analyzed on IEEE 24-bus test system in the presence and absence of energy storage systems, and the effect of change in price of energy storage systems is studied. The results of this research show that as the technology advances and the storage costs decrease, energy storages can play a pivotal role in reducing expansion planning costs of power network and improving market-based indices in restructured environment.