Distributed cooperative scheduling method and system for multi-micro energy network coupling system

Abstract

The invention relates to a distributed cooperative scheduling method for a multi-micro-energy-network coupling system, and the method comprises the following steps: S1, building a multi-micro-energy-network coupling system optimization scheduling model, and carrying out the linear processing of the multi-micro-energy-network coupling system optimization scheduling model; s2, decoupling the multi-micro-energy network coupling system optimization scheduling model into a multi-sub-micro-energy network optimization scheduling problem; s3, solving the distributed optimal scheduling model of the multi-micro-energy network coupling system by adopting an alternating direction multiplier method; s4, initializing alternating direction multiplication parameters and setting the number of iterations; s5, enabling each micro-energy network to adopt a non-convex alternating direction multiplier method to solve the respective optimization scheduling problem, and obtaining a decision variable value; calculating original and dual residual errors; and S6, judging whether a convergence condition is met or not, if so, stopping iteration, and outputting an optimal scheduling problem result, namely an optimal scheduling scheme, otherwise, updating the dual variable and the number of iterations, returning to the step S5, and continuing iteration. The method and the system are beneficial to providing an optimal scheduling scheme meeting the load requirement.

Description

technical field [0001] The invention belongs to the technical field of multi-micro-energy network scheduling, and in particular relates to a distributed collaborative scheduling method and system for a multi-micro-energy network coupling system. Background technique [0002] The development of clean and renewable energy to promote the transformation of the energy structure has become an important means for countries to solve the energy crisis and environmental pollution problems. In this context, micro-energy grids that couple electricity, gas, heat, and cold multi-energy networks have received more and more attention from various countries. With the development of micro-energy networks, multiple micro-energy networks with adjacent geographical locations need to form a multi-micro-energy network coupling system due to interconnection and mutual supply. However, due to information privacy and operational management barriers between micro-energy networks, it is urgent to A di...

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Problems solved by technology

However, the existing distributed optimal scheduling methods generally use the traditional ADMM algorithm to solve, and the convergence performance of the traditional ADMM algorithm is difficult to be effectively guaranteed when solving non-convex problems, that is, when the optimal scheduling model of the multi-micro energy grid coupling system contains When the variable is 0-1, if there is an energy storage device, the scheduling model of the micro-energy network is no longer a convex optimization model, which will make it difficult to effectively guarantee the convergence performance of the ADMM algorithm when solving this problem

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