Comprehensive energy system economic dispatching method based on distributed neural dynamic optimization

Abstract

The invention provides a comprehensive energy system economic dispatching method based on distributed neural dynamic optimization. The method comprises the following steps: 1) establishing an economicdispatching model of the comprehensive energy system; 2) converting the economic dispatching model into a mathematical form by adopting a Lagrange function method; 3) establishing an optimization problem based on a distributed neural dynamic network; 4) establishing a distributed neural dynamic optimization algorithm; and 5) establishing an intelligent agent of each participant and solving the optimal value of the output power of each participant. The scheduling model provided by the invention considers the influence caused by strong coupling in the power generation, conversion and energy consumption processes of a power grid, a heat supply network and a gas network, and the problems of climbing constraint and operation constraint of a unit, safety trend constraint of a power transmissionline and uncertainty of renewable energy power generation; the distributed economic dispatch function is achieved, iterative computation only needs adjacent equipment node information, the convergence speed is high, the convergence result is good, the communication burden can be reduced, and the operation efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of economic scheduling of integrated energy systems, in particular to a method for economic scheduling of integrated energy systems based on distributed neural dynamic optimization. Background technique [0002] Economic dispatch is a basic problem in power system operation. It is usually described as an optimization problem, aiming to reasonably adjust the output of each generator set and distribute it to each load under the constraints of supply and demand balance and the output of each component, so as to minimize the total cost of system operation. . With the intensification of the global energy crisis, the integrated energy system including solar energy, wind energy and other new energy generation has attracted social attention due to its energy saving, environmental protection and flexibility. However, the economic dispatch in the integrated energy system needs to consider the impact of the strong cou...

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Problems solved by technology

[0004] Most of the existing studies considering the economic dispatch problem in the integrated energy system scenario focus on the electric heating network, seldom consider the gas network, and ignore the strong coupling of the power grid, heating network, and gas network in the process of power generation, conversion and energy consumption. Impact

In addition, for the convenience of establishing the cost function model, the quadratic function form is mostly considered, which leads to the inaccuracy of the comprehensive energy model established.

To this end, it is necessary to establish a relatively complete comprehensive energy system model, such as considering the power flow constraints (global constraints) of transmission lines and the nonlinear part of the cost function; however, the existing distributed algorithms rarely consider global coupling constraints, including linear , non-linear equality and inequality constraints, and the objective functions processed are mostly quadratic functions, rarely involving other nonlinear functions; in addition, as the dimension of optimization problems increases, existing distributed algorithms may require a large number of iterative processes and computing time, which limits the practical application of the algorithm; therefore, it is very important to develop distributed algorithms for solving large-scale optimization problems

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