Optimization method and system for distributed prediction power grid

Abstract

The invention discloses an optimization method and system for distributed prediction power grid. The method comprises the following steps: S1, monitoring a power supply parameter provided for a power distribution network load by each distributed power supply in a power distribution network in real time, and calculating the contribution degree of the distributed power supply based on the power supply parameter; and S2, predicting the contribution degree of the distributed power supply at the future moment, and constructing a distribution model for the contribution degree of the distributed power supply in the power distribution network, wherein the distribution model is used for carrying out coordinated distribution on the contribution degree of the distributed power supply in the power distribution network, so that the distributed power supply meets the load power demand of the power distribution network, and meanwhile, the power consumption cost is reduced and the cleaning benefit is improved. The distributed power supplies are dynamically adjusted until the predicted value of the contribution degree obtained by the neural network at the future moment is consistent with the adjustment reference, so that optimal scheduling of all the distributed power supplies in the power distribution network is realized, and the power distribution network meets the low-carbon requirement while meeting the reliability requirement.

Description

technical field [0001] The invention relates to the technical field of power grid optimization, in particular to a distributed forecasting power grid optimization method and system. Background technique [0002] As countries around the world pay more and more attention to issues such as energy crisis, environmental protection, and global climate change, the development and utilization of renewable energy has become a global consensus and concerted action. In recent years, renewable energy power generation technology has become increasingly mature, and renewable energy power generation grid integration has developed rapidly. At the same time, electric vehicles have been widely researched and utilized due to their advantages of energy saving, environmental protection and air pollution prevention and control. The large-scale access and application of distributed power and electric vehicles is an inevitable trend and an important feature of the sustainable development of smart ...

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Problems solved by technology

[0005] The purpose of the present invention is to provide an optimization method and system for distributed forecasting power grids to solve the problem that it is difficult to quantitatively grasp the adjustment amount of distributed power sources in the prior art, that is, it is impossible to control the adjustment accuracy of distributed power sources, which leads to distributed power technical problems of low planning reliability

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