Multi-objective optimization method of wind-powered pumped storage system

Abstract

The invention discloses a multi-objective optimization method of a wind-powered pumped storage system. Based on a known current wind power prediction value and a determined load, the method comprises the steps of adopting an autoregressive moving average model to perform scene sampling and establishing a group of initial scenes based on the probability distribution of wind power output power prediction and prediction errors; processing the initial scenes by adopting scene reduction and obtaining an optimal wind power scene tree; and building a mathematical optimization model with low carbon and low cost as the goal, taking an on / off status of a generating set and the active power output allocation of the generating set at every period of time as a decision variable, adopting a second-order stochastic optimization model to optimize the optimal wind power scene tree, and outputting optimal scheduling of the generating set. The multi-objective optimization method of the wind-powered pumped storage system provided by the invention combines a scene tree creation and reduction technology to obtain an optimal wind power scene, based on second-order stochastic optimization, with the minimum cost and low carbon as the goal, an epsilon-constraint enhanced multi-objective algorithm and mixed integer linear programming are adopted, so that finally optimal scheduling of the generating set can be obtained, and the reliability and applicability are good.

Description

technical field [0001] The invention relates to the technical field of wind power-pumped storage combined system optimization, and more specifically, the invention relates to a multi-objective optimization method for a wind power-pumped storage combined system. Background technique [0002] The world today pays more and more attention to the utilization of renewable and environmentally friendly energy. As an important measure, wind power generation is constantly developing. The total installed capacity of wind turbines in China ranks among the top in the world. [0003] Due to the randomness and volatility of wind energy, wind power output is uncontrollable. When wind power with a certain installed capacity is directly connected to the grid, it may have a huge impact on the grid. In order to ensure the stable and safe operation of the grid, the scale of wind power grid connection can only be limited. There will be a large number of abandoned wind phenomena, making it difficu...

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Problems solved by technology

[0003] Due to the randomness and volatility of wind energy, wind power output is uncontrollable. When wind power with a certain installed capacity is directly connected to the grid, it may have a huge impact on the grid. In order to ensure the stable and safe operation of the grid, the scale of wind power grid connection can only be limited. There will be a large number of wind abandonment phenomena, making it difficult to effectively use wind resources

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