Distributed Economic Dispatch Algorithm For Energy Internet With Uncertain Environment

With the excessive consumption of traditional fossil energy and environmental problems caused by energy consumption,countries are actively studying new energy technologies including renewable energy such as solar energy,wind energy and bio-energy.However,the intermittent and uncertain characteristics of new energy power generation technologies bring difficulties and challenges to the optimization and control of the entire power system.With the rise of the “Internet +”industry,a new type of “Energy Internet”(EI)which is formed by the in-depth integration of energy networks and Internet technologies becomes an inevitable choice for the development of new energy sources.However,the actual network communication environments are often interfered by various uncertain factors,such as communication noises and quantization errors.Therefore,the research on the economic dispatch problem(EDP)of the Energy Internet with uncertain environments are of great significance for saving resources and protecting the environment.In this thesis,we use the tools of probability theory,control theory and algebraic graph theory to study the distributed economic dispatch algorithm for Energy Internet with uncertain environments.The main results include the following two aspects.1.A distributed economic dispatch algorithm based on digital communication is designed for Energy Internet.Since the communication channel capacity is limited,the state of each intelligent control unit is real value,and only discrete symbol data can be exchanged with neighbor nodes,therefore,a distributed economic dispatch algorithm based on digital communication needs to be considered.It is proved that if the topology of the Energy Internet contains a spanning tree with the energy router as the root node,and the topology of the microgrid is a connected undirected graph,then for any given uniform quantizer with a finite number of quantization layers,the controller gain and scale transformation function can always be selected appropriately,so that the incremental cost of each distributed generation unit tends to the cost of the power distribution system obtained from the energy router.The entire microgrid system is gradually approaching optimal economic dispatch and the algorithm ensures that power supply and demand tend to be balanced.2.The actual network communication environments are often affected by various uncertain factors,such as measurement and channel noises.The microgrid should be able to operate stably in a communication environment with noisy interference,so we design a distributed economic dispatch algorithm that can overcome communication noises.It is proved that if the topology of the Energy Internet contains a spanning tree with the energyrouter as the root node,and the topology of the microgrid is a connected undirected graph,the algorithm can guarantee that the incremental cost of each distributed generation unit tends to the cost of the power distribution system obtained from the energy router with probability 1 for any white noise with bounded second-order moment.The entire microgrid system asymptotically achieves optimal economic dispatch with probability 1and the algorithm ensures that the power supply and demand of the entire microgrid will be balanced with probability 1.