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Wind power-pumped storage combined system daily random dynamic scheduling method based on SARSA(lambda)algorithm

A joint system, stochastic and dynamic technology, applied in wind power generation, information technology support system, computing, etc., can solve problems such as poor dispatching effect and low efficiency

Active Publication Date: 2020-12-08
CHINA THREE GORGES UNIV
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Problems solved by technology

[0005] The present invention proposes a wind power-pumped storage combined system daily random dynamic scheduling method based on the SARSA(λ) algorithm, which is used to solve or at least partially solve the technical problems of poor scheduling effect and low efficiency existing in the prior art

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  • Wind power-pumped storage combined system daily random dynamic scheduling method based on SARSA(lambda)algorithm
  • Wind power-pumped storage combined system daily random dynamic scheduling method based on SARSA(lambda)algorithm
  • Wind power-pumped storage combined system daily random dynamic scheduling method based on SARSA(lambda)algorithm

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Embodiment Construction

[0074] The inventors of the present application have discovered through a large amount of research and practice that: with the gradual improvement and maturity of the theoretical research on optimal dispatching of wind power-pumped storage, the factors considered in the study of this problem are becoming more and more complex, and higher requirements are placed on the research methods . Considering that there are certain errors in wind power output prediction, when studying the optimal dispatch of wind power-pumped storage combined system, it is first necessary to analyze the randomness of wind power output to improve the accuracy of prediction. Therefore, the stochastic optimal dispatching problem of wind power-pumped storage combined system is a high-dimensional, multi-stage, nonlinear optimization problem with complex constraints and many factors to be considered comprehensively. When solving this kind of stochastic optimal scheduling problem, commonly used solving algorith...

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Abstract

The invention provides a wind power-pumped storage combined system daily random dynamic scheduling method based on SARSA(lambda)algorithm, which specifically comprises the following steps of: firstly,considering randomness of wind power output, and representing probability distribution of the wind power output by using Beta distribution; secondly, establishing a wind power-pumped storage combinedsystem daily random dynamic scheduling model considering the time-of-use electricity price; and finally, introducing the SARSA(lambda)algorithm of multi-step time sequence difference in reinforcementlearning into model solving, performing learning through historical scene data, and continuously performing trial and error to accumulate experience. According to the method, a new thought is provided for solving the multi-stage decision-making problem of wind storage joint optimization scheduling considering randomness, and the solving efficiency is improved while the optimization scheduling target is obtained.

Description

technical field [0001] The invention belongs to the problem of natural water collection and distribution in water resource recycling and water saving activities in the field of energy saving and environmental protection industries, which is solved by a reinforcement learning method in big data. It involves a daily random dynamic scheduling method for wind power-pumped storage combined system based on reinforcement learning SARSA(λ) algorithm. Background technique [0002] Today, when the energy industry is stepping into high-quality development, wind power has been widely used all over the world. At the same time, the randomness and volatility of wind power have brought challenges to the operation and scheduling of the power grid. How to control the power characteristics of wind power when it is connected to the grid and efficiently absorb large-scale wind power has become an urgent problem to be solved. [0003] With the development of energy storage technology, pumped sto...

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Application Information

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IPC IPC(8): H02J3/46H02J3/28H02J3/00G06Q10/06G06Q50/06
CPCH02J3/466H02J3/28H02J3/0075G06Q10/06312G06Q50/06H02J2203/10H02J2203/20H02J2300/20H02J2300/28H02J2300/40Y04S10/50Y02E70/30
Inventor 李文武郑凯新刘江鹏石强余跃赵迪
Owner CHINA THREE GORGES UNIV