The integration of wind power into extensive grid networks presents a confluence of challenges arising from the inherently intermittent nature of wind resources and transmission bottlenecks. To address these complexities and maximize wind energy utilization while meeting demand requirements, a holistic planning paradigm is indispensable. Such an approach entails the synergistic coordination of wind power capacity allocation and siting, expansion of transmission infrastructure, and integration of energy storage systems. Additionally, operational strategies for both generation assets and energy storage facilities play pivotal roles in optimizing system performance. A joint planning framework is formulated to minimize the aggregate costs associated with transmission network augmentation, energy storage system deployment and operation, conventional unit dispatch, wind curtailment, and penalties incurred during periods of high demand. This model incorporates linearized representations of constraints governing energy storage system planning and operation and quadratic generation cost functions, facilitated by Mixed-Integer Linear Programming methodologies. Rigorous evaluation of the proposed methodology is conducted utilizing representative test systems across diverse scenario settings. The empirical findings underscore the efficacy of the devised planning model in significantly bolstering load acceptance capacity and facilitating heightened levels of wind power integration within the grid infrastructure.