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This chapter presents a framework to demonstrate the impacts of energy storage systems (ESSs) on transmission expansion planning (TEP). In order to integrate the ESSs into TEP, a typical test network, i.e., IEEE 24-Bus RTS, is adopted as case study, and TEP is carried out on this network. The TEP is integrated with ESSs and the impacts of ESSs are investigated. The optimal sizing, siting, and charging-discharging regime of the ESSs are determined to achieve the best and optimal operation. The TEP including ESSs is modeled as mixed integer linear programming and solved by means of GAMS/CPLEX. The objective function is regarded as the investment cost on new lines and new ESSs. The constraints are included as security constraints of the network as well as the operational constraints of the ESSs. The planning horizon is considered as 6 years, and dynamic TEP is carried out to find the best location, capacity, time, and number of new lines. The simulation results demonstrate that the TEP without ESSs installs more lines to handle load growth, but the TEP with ESSs installs less lines and uses ESSs to supply peak demand. The ESSs properly shift energy over the day hours and shave the peak load. As a result, the congestion in the lines is relieved and the network requirement for new lines is deferred. The ESSs can efficiently defer the investment on new lines and improve the congestion in the network lines. |
