Micro-grid optimization scheduling method based on improved Q learning penalty selection

Abstract

The invention relates to a micro-grid optimization scheduling method based on improved Q learning penalty selection. The method comprises the following steps: 1, constructing an objective function according to the operation cost of a conventional unit in a micro-grid, the environmental benefit cost and the large grid power interaction cost; 2, establishing constraint conditions of micro-grid operation; 3, constructing a penalty return function which takes the highest wind and light abandoning cost and the wind and light complete absorption cost as the highest threshold and the lowest threshold; 4, improving a traditional Q learning algorithm by adopting a multivariate universe optimization algorithm; and 5, performing Markov decision description processing on the target function obtained in step 1, and performing planning solution on the obtained state and space description by using an improved Q learning algorithm. The abandoning rate of renewable energy in microgrid operation scheduling is reduced, the fluctuation of energy interaction between the microgrid and a large power grid is reduced, the problems of slow response and non-convergence of a traditional optimization method are solved, and the stability and economical efficiency of microgrid operation are improved.

Description

technical field [0001] The invention relates to a micro-grid economic scheduling method, in particular to a micro-grid optimal scheduling method based on improved Q-learning penalty selection. Background technique [0002] With the continuous adjustment of the energy structure, the widely dispersed microgrid system composed of various types of energy equipment has been widely used due to its advantages of independent power transmission and distribution, fast dispatch, large proportion of renewable energy, and island operation. The microgrid system can improve the quality of power supply in remote areas, and can also effectively prevent power supply interruptions caused by natural disasters. [0003] With the continuous support of national policies for the new energy industry, the scale of grid-connected wind and solar continues to increase. However, due to the volatility and uncertainty of wind power and photovoltaic output, their large-scale access to microgrids has caused...

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Problems solved by technology

[0004] The microgrid contains traditional units, new energy generators, energy storage units, and various types of load demands. The cost of generating electricity for a single unit considered in the traditional dispatching problem has been unable to meet the requirements of fast, economical, environmentally friendly and safe dispatching pursued by the microgrid system. need

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