Scheduling method and scheduling system of energy storage system based on heuristic dynamic programming

An energy storage system and dynamic programming technology, applied in the general control system, control/regulation system, program control, etc., can solve the problems of modeling difficulty, distributed generation uncertainty, time variation, etc., and achieve the improvement of intelligence Effect

Active Publication Date: 2020-09-18
SICHUAN UNIV
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Problems solved by technology

[0003] The main purpose of the present invention is to provide a dispatching method and dispatching system of an energy storage system based on heuristic dynamic programming, so as to solve problems caused by nonlinearity, time variation, and uncertainty of distributed power generation in the smart building microgrid system. Modeling Difficult Problems

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  • Scheduling method and scheduling system of energy storage system based on heuristic dynamic programming
  • Scheduling method and scheduling system of energy storage system based on heuristic dynamic programming
  • Scheduling method and scheduling system of energy storage system based on heuristic dynamic programming

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[0043] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the embodiments and accompanying drawings.

[0044] Such as figure 1 As shown, the HDP network uses a step-by-step approach to solve the scheduling problem: first, a control action is given, the system undergoes a state transition under this action, the evaluation network will evaluate the control action according to the action effect, and then the control network will feedback and improve strategies. The optimal control action can be found by repeating this process. In the figure, the system status includes user load, RRTP, weather conditions, energy storage system status, etc.; H(t) is the output of the evaluation network, and the dotted line is the weight adjustment path of strategy evaluation and strategy upgrade; the evaluation network is responsible for completing the planning strategy...

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Abstract

The invention discloses a scheduling method and a scheduling system of an energy storage system based on heuristic dynamic programming. On the basis of considering the life of the energy storage system and the real-time electricity price of the user, two kinds of neural networks are used to train the HDP model according to the weather classification. The weather forecast system is applied in the algorithm, and different HDP networks are designed according to two weather types (sunny and cloudy), so that they can manage the scheduling calculations of sunny and cloudy days, so that the system can adapt to its own environment and perform self-renewal, solving It solves the problems of modeling difficulties caused by the non-linearity, time-varying, and uncertainties of distributed power generation in the smart building micro-grid system, and improves the intelligence of building energy storage dispatching.

Description

technical field [0001] The invention relates to intelligent building power dispatching technology, in particular to a dispatching method and dispatching system of an energy storage system based on heuristic dynamic programming. Background technique [0002] Intelligent building power dispatching is an important research field of smart microgrid. On the demand side, factors such as household loads, storage batteries, large power grids, and renewable energy are combined to form a nonlinear, time-varying, uncertain, and complex system. At the same time, wind power and photovoltaic output are uncertain, making it difficult for the entire system to management or optimization. Contents of the invention [0003] The main purpose of the present invention is to provide a dispatching method and dispatching system of an energy storage system based on heuristic dynamic programming, so as to solve problems caused by nonlinearity, time variation, and uncertainty of distributed power ge...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B19/418
CPCG05B19/41865G05B2219/32252
Inventor 周步祥严雨豪张烨陈实黄家南董申刘舒畅罗燕萍
Owner SICHUAN UNIV
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