Transmission Expansion Planning Considering Storage and Intraday Time Constraints to Integrate Wind Power

Energy storage systems (ESS) can be considered non-wire alternatives in power systems, since they can smooth out the intermittency of wind power production and reduce transmission requirements. This work presents a new methodology to represent the daily cycle charge and discharge of ESS and its interaction with wind farms under intraday time constraints. The transmission expansion planning (TEP) problem is formulated as a mixed nonlinear integer programming using a DC model and solved with a specialized genetic algorithm. The modified Garver's test system and the Colombian 93-bus system are used to validate the proposed methodology and solution technique. The results denote that storage systems are profitable, reduce the overall investment and transmission requirement, and allow the efficient integration of wind power.