Distributed Optimization Dispatch Method For Energy Internet In Complex Dynamic Environment

With the increasing energy crisis and environmental pollution,as the next generation of green and sustainable energy utilization system,the Energy Internet has attracted much attention.In order to realize the efficient utilization of large-scale renewable energy in the network,it is significant to study the method of the Energy Internet energy management problem.Due to the characteristics of the strong distributed and autonomous optimal scheduling problem of the Energy Internet,the formulation and execution of the scheduling orders are more dependent on the collaborative cooperation and information exchange between the we-energies.Therefore,considering the multisource disturbance existing in the cooperative scheduling between the we-energies(e.g.the time-delay and the noise disturbance),and the disturbance from the external environment,it is urgent to solve the problem of energy optimization management for the Energy Internet under the complex dynamic environment,in order to achieve the optimal scheduling in the network and ensure the safe and stable operation of the Energy Internet.To solve the energy management problem of the Energy Internet in the complex dynamic environment,taking the interference intensity of the Energy Internet as a main line,the optimal scheduling strategy of the Energy Internet based on the multi-agent system theory has been studied under the ideal environment,time-delay/noise disturbance,strong multi-source disturbance and extreme disasters in turn.The main contents and contributions can be summarized as follows:(1)Aiming at solving the energy management problem of the Energy Internet under the ideal environment,an optimal dispatch model of the primary energy side of the Energy Internet has been constructed to minimize the energy consumption of the primary energy side in the network,and to reduce the energy supply cost of the Energy Internet while ensuring the safe and environmental operation of the traditional main energy network.Based on the multi-agent system,a dynamic load demand response team mechanism has been proposed.The load fluctuation on the user side of the Energy Internet can be effectively and rapidly suppressed.The multi-agent containment control algorithm has been used to control the voltage of the output power to make it fluctuate within an allowable range,so as to ensure the high quality of the output power.(2)Aiming at solving the energy management problem of Energy Internet with complex noise disturbance,a we-energy optimal scheduling strategy based on the random multi-agent distributed optimization algorithm with general noise has been proposed.In order to ensure the optimal utilization of energy under the premise of individual economic benefits of we-energies,the objective function of energy optimal dispatch has been established,and the general noise is used to describe the multi-source noise disturbance in the Energy Internet.A method has been proposed to analyze the noise-state stability of the unique equilibrium point of the random multi-agent system.The minimum estimation error between the optimal solution of the distributed optimization algorithm and the equilibrium point of the random multi-agent system can be obtained,which ensures the reliability of the weenergy optimal scheduling under noise disturbance.(3)Aiming at solving the energy management problem of Energy Internet with multi-time-varying delays,the convergence of the corresponding distributed optimization algorithm with multi-timevarying delays has been analyzed.By using the Lyapunov stability analysis method,a criterion for determining the convergence of the distributed optimization algorithm with multi-time-varying delays can be obtained.A reconfiguration algorithm of the communication topology structure has been proposed to avoid the long time delay.(4)Aiming at solving the energy management problem of Energy Internet containing multi-source interference,a method of the communication topology reconfiguration with an energy transaction price regulation mechanism has been proposed for the Energy Internet.Based on the multi-agent containment control theory,the price regulation mechanism of the Energy Internet transaction can be designed to ensure the rationality of energy transaction price.By analyzing the Laplacian matrix characteristics of the corresponding multi-agent system,a method of reconstructing the communication topology among the agents has been established,which improves the flexibility and anti-interference ability of the Energy Internet optimal scheduling strategy.(5)Aiming at solving the energy management problem of the Energy Internet suffering extreme disasters,a life-support load recovery framework based on the multi-agent system has been proposed.The life-support load model has been established,and the identification method of life-support loads based on a hybrid triggering mechanism has been proposed,which reduces the consumption of network communication resources.An energy recovery method of the life-support load based on the multi-agent consensus algorithm has been proposed,which can guarantee the supply of important loads after disasters.