The article is devoted to efficiency assessment of search algorithms for objective function extremum in wind energy plants (WEP) control systems. Various existing WEP control strategies and their disadvantages have been reviewed. The authors suggest deploying an optimal WEP state search method and using the minimum of the objective function presented in the article, which determines a distance between actual parameters of the plant and their nominal values, as a criterion of optimality for the given method. A number of extremum search algorithms based on gradient search method, steepest descent search method and conjugate gradients method are reviewed. The authors simulated WEP control using the described methods. Based on the conducted simulation, the authors assessed the methods in operation. The paper presented the results of a full day WEP simulation in the conditions of stochastic wind and with the use of load profiles. The progressions of actual plant’s parameters, such as generated electrical power, wind turbine rotation speed, consumed electrical power, state of battery charge, battery current and voltage are demonstrated.