## 1 Introduction  
In recent decades, wind energy has become the predominant viable source of renewable energy. Scientists and engineers have gained vast experience in handling small to large capacity generation system. Wind power generation is also estimated to produce 12% of the world's electricity requirement by 2020 [1]. Since wind is varying in nature, a wind turbine generation unit does not take into consideration the changing load power demands [2,3]. Therefore, it is very important to develop a power management system for handling power generation, to effectively match the varying load demand and increase the life of turbines. Most of the modern wind farm management systems ensure maximum yields and increased service life of wind farms. A power management system for wind power generation communicates with sophisticated control systems to respond to changing load demands. Passive stall control, variable pitch control and active stall control are the major control systems employed in regulating the power captured by the turbine rotor. But, with increasing machine size and power production capacity, the modern trend is towards using pitch control and active stall control for power regulation. [4, 5, 6, 7]. Also, variable pitch control methods can achieve better power regulation and lower dynamic loads on wind turbines [8,9]. In a pitch regulated wind turbine, the power captured by the rotor is regulated for achieving two targets: (1) Maximize energy captured by pitching the blades at optimum angle towards the wind for above rated wind speeds; and (2) Avoid excessive power generation by pitching to feather, _i.e._, optimally positioning blades away from wind direction to ensure mechanical limitations are not exceeded for wind speeds above the cut-in speed of turbines. A power management system can control the power generation at optimum levels to meet the load power demand [10]. It can provide adequate energy based on the load demand and the availability of energy from the wind turbine. In the case of high energy production, the load demand can be completely or partially satisfied based on the supervisor request, who has the priority in making the decision by the power management system. In order to handle the situation during low energy production, load power demand management schemes have been employed by many distribution utilities [11], were the HVAC (heating, ventilation and air- conditioning) loads can be switched off during peak conditions or during emergency situations with limited controllability. The power management system changes the amount of the requested and provided power during its operation. Therefore, this power must be regulated to track a power profile requested by the supervisor. The pitch angle controller can adjust the pitch setting at its optimum value to achieve power tracking [12, 13, 14]. A control strategy has been investigated in [15] to maintain balance between produced energy and load demand, and a multivariable control strategy used in [16] regulates the pitch angle and electrical load to control the wind turbine speed. However, the regulation of power through the pitch angle can cause high activity of the pitch actuator due to small fluctuations in the power during steady state operation, which can affect the flow of power to the load. In this paper, a Boolean-based power management system is developed for supplying a set of load banks from wind energy sources. It is designed for an automatic switching of the banks depending on the request of a supervisor, the availability of power from wind, and the banks' priorities. The supervisor can manually turn the banks' ON-OFF switches, and a power reference signal is generated based on the switches being at state ON, which is used as a reference to control the wind turbine poweroutput.