Distributed Predictive Control Of Stand-alone Hybrid Generation Systems

The stand-alone hybrid wind and solar energy generation system can solve the electricity problem of remote areas which with rich natural resources. Optimal power allocation strategy of generation system influences its operation efficiency and the lifetime of battery, so optimal power allocation of generation system is an important feature in energy management system.Optimal power allocation of stand-alone hybrid wind and solar energy generation system is studied. A hierarchical control structure with distributed predictive control is proposed. According to optimal operation requirement of stand-alone hybrid generation system, global optimization performance cost is established. The optimization problem of the wind subsystem and solar subsystem is designed based on the iterative distributed MPC optimization algorithm. The power reference value of the wind/solar generation system is obtained which guaranteed global performance optimization, According to the reference value, the local controller regulates the operation of the wind/solar generation system in order to achieve the overall optimization of hybrid generation systems. Comparing with centralized MPC optimization, the model complexity and defective real-time performance are improved in the algorithm. Secondly, on the basis of the iterative distributed MPC optimization algorithm, a distributed hierarchical control structure based on MAS is established,using distributed MPC based on agent negotiation optimization algorithm to coordinate wind and solar generation subsystem power reference value. When design each generation agent optimization problem which only considering the local model and state information of subsystem. It solves high complexity of the optimization problem and communication requirement, because design optimization problem with iterative distributed MPC considering the model and state information of the whole system. Finally, according to weather conditions and load data of the Jiuquan, Gansu.The control structure diagram of stand-alone hybrid generation system is given. With MATLAB simulation platform, the iterative distributed MPC and distributed MPC based on agent negotiation optimization algorithm for simulation verification, and the power reference value of stand-alone hybrid wind/solar generation system and the affecting lifetime factors of the battery are analyzed. On the basis of global optimization performance cost is established, compare optimization problemscomputing time and performance cost with centralized MPC, iterative distributed MPC and distributed MPC based on agent negotiation optimization algorithm.