Power-heat network coordinated operation method based on OCD decentralized optimization

Abstract

The invention discloses a power-heat network coordinated operation method based on OCD decentralized optimization. The method comprises the steps that S1, the boundary variables and the Lagrange multiplier values of a power grid and a heat network are initialized, and the number of iterations k=0 and the algorithm termination error epsilon are set; S2, the number of iterations k=k+1 is updated, and the power grid and the heat network exchange boundary information including the boundary variables and the Lagrange multiplier values; S3, the power grid sub-problems and the heat network sub-problems are solved so as to obtain the corresponding optimal values; and S4, whether the condition of convergence is reached is judged, the optimal result after optimization of the power grid and the heatnetwork is outputted if the judgment result is yes, or the steps S2-S4 are repeated until the condition of convergence is met. Only the power grid and the heat network require to exchange small amountof boundary information in the coordination process without the central coordination layer so that the information privacy and the scheduling oppositeness of the power grid and the heat network can be protected, the effect of centralized and coordinated optimization can be achieved, the method has the characteristics of fast computing speed and high computing efficiency and the method can be applied to compute the large-scale integrated energy system.

Description

technical field [0001] The invention relates to the technical field of heat-power grid joint dispatching, in particular to an electricity-heat network coordinated operation method based on OCD (Optimal Condition Decomposition) distributed optimization. Background technique [0002] Compared with traditional thermal power units, combined heat and power (CHP) units are more energy-saving and efficient, and have been widely used in recent years. At present, some progress has been made in the research on combined heat-grid dispatching operation. Particle Swarm Optimizer (PSO), Genetic Algorithm (GA), Group Search Optimal (GSO) and some mathematical optimization methods have been successfully applied in solving the electricity-heating network joint scheduling problem . [0003] However, at present, most of the researches on joint dispatching of electricity-heating network adopt centralized optimization method, combining heat network and power grid to solve the problem. In fact...

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Problems solved by technology

[0004] The purpose of the present invention is to overcome the shortcomings and deficiencies of the existing electricity-heating network coordination scheduling problem algorithm, and propose a method based on OCD distributed optimization of electricity-heating network coordination operation, the method does not need a central coordination layer, only the power grid A small amount of boundary information is exchanged with the heating network during the coordination process. While protecting the privacy and scheduling antagonism of the grid and heating network information, it also achieves the effect of centralized coordination and optimization. It has the characteristics of fast calculation speed and high calculation efficiency, and can be applied This method calculates large-scale integrated energy systems

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