AGARWAL, APOORV. Adaptive Control of a Hybrid Energy Storage System for Wave Energy Conversion Application. (Under the direction of Dr. Subhashish Bhattacharya). A hybrid energy storage system (HESS), that comprises of a battery and a supercapacitor, is utilized to absorb the power and energy oscillations for a wave energy conversion system so as to inject a smooth power to the grid. Continuous variation in the wave profile presents a formidable challenge in terms of the power and energy allocation among the battery and supercapacitor. In this paper, an adaptive control strategy is proposed, wherein the power and energy sharing between the battery and super-capacitor is dynamically decided based on an optimization algorithm. The proposed algorithm is aimed at optimizing the total losses in the hybrid energy storage system while simultaneously maximizing the battery lifetime. Circuit simulation and experimental results from a hardware prototype are provided to validate the effectiveness of the proposed control scheme. Moreover, the change in wave profile and improvement of control strategy poses an additional challenge for sizing of HESS due to consistent change in the power sharing between battery and supercapacitor throughout its operation. Thus, a cost-optimal sizing of HESS is presented that takes into account the capital as well as the replacement cost.