Energy internet collaborative optimization operation method

Abstract

The invention discloses an energy internet collaborative optimization operation method. The method mainly comprises the following steps that a heat supply network and a power grid distributed energy optimization model are established with the lowest operation cost of a power grid and the lowest operation cost of the heat supply network as targets; a gas turbine is used as a coupling carrier of a heat supply network and a power grid, and the two regions are coupled through a coupling equation to form a distributed energy optimization model of the electricity-heat interconnection integrated energy system; the distributed energy optimization model of the electricity-heat interconnection integrated energy system is solved by adopting an improved synchronous ADMM algorithm, and the optimal distribution of controllable resources of a heat supply network and a power grid is obtained through repeated iteration. According to the invention, the gas turbine is used as electricity-heat coupling link, a node temperature transient equation is introduced on the basis of considering the existence of time scale difference in different energy utilization, the synchronous ADMM is used for carrying out collaborative optimization on electric energy and heat energy, the algorithm has good convergence, and the optimization result better conforms to the reality.

Description

technical field [0001] The invention relates to a collaborative optimization operation method of the energy internet based on the characteristics of the heating network, which belongs to the field of energy internet optimization. Background technique [0002] With the development of Internet technology, Energy Internet has become an inevitable trend to solve the problem of local consumption of distributed renewable energy, realize the close integration of multiple energy networks, and improve the overall energy efficiency of the system. How to carry out distributed optimization modeling of multi-energy networks with the support of multi-energy conversion technology to realize the coordinated operation of integrated energy systems is the key to solving energy efficiency problems in various links from energy production, transmission to energy consumption. [0003] At present, relevant research has explored and analyzed the distributed optimization methods of the Energy Interne...

AI Technical Summary

Problems solved by technology

Among them, both the consensus algorithm and the subgradient algorithm have only first-order convergence, and the convergence speed is relatively slow.

On the other hand, since the (sub)gradient information and second-order gradient information of the optimization objective function such as the cost micro-increase rate belong to the private information of each distributed unit, information interaction between distributed devices belonging to different subjects will cause energy Internet participants to privacy breach

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