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Microgrid-based dynamic strategy simulation and optimization method

An optimization method and dynamic strategy technology, applied in design optimization/simulation, wind power generation, electrical components, etc., can solve problems such as failure of operation strategy and failure of microgrid to operate normally, so as to improve adaptability, reliability and adaptability sexual effect

Active Publication Date: 2018-07-17
GUODIAN NANJING AUTOMATION
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AI Technical Summary

Problems solved by technology

The emergence of these problems will invalidate the established operation strategy, resulting in the failure of the microgrid to operate normally.

Method used

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  • Microgrid-based dynamic strategy simulation and optimization method
  • Microgrid-based dynamic strategy simulation and optimization method
  • Microgrid-based dynamic strategy simulation and optimization method

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Embodiment Construction

[0042] The present invention will be further described below in conjunction with the accompanying drawings.

[0043] This embodiment discloses a dynamic strategy simulation and optimization method based on a microgrid, which combines the real-time operating microgrid system with a simulation model, and establishes a strategy library to store and manage strategies in different operating scenarios of the microgrid; Divide the operation period. Before the operation period, the microgrid selects the candidate strategy group that meets the constraint conditions from the strategy library for simulation, and determines the operation strategy of the operation period according to the simulation results; after the operation period, the microgrid adopts the genetic algorithm Compare and learn the simulation results and actual operation results, and feed back the improvement of the strategy to the strategy library to form a dynamic optimization and perfection of the strategy library.

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Abstract

The invention discloses a microgrid-based dynamic strategy simulation and optimization method. The microgrid-based dynamic strategy simulation and optimization method comprises the steps of building amicrogrid running strategy library to store and manage control strategies of a microgrid in different running environments; dividing control time frames during the running process of a microgrid system, and timely selecting an alternative strategy set for running at a next time frame from the strategy library according to states of each power supply and a load in the microgrid; issuing the selected strategy set to a microgrid simulation model built on the basis of MATLAB, performing simulation calculation on the running state of the microgrid, and selecting the optimal running strategy as therunning strategy of the next time frame by comparing and analyzing a result of the simulation system under each alternative strategy; and comparing and analyzing the strategy running result and the simulation calculation result, improving and optimizing the employed strategy by a genetic algorithm, and favorably achieving the optimal effect during application after iteration.

Description

technical field [0001] The invention relates to a method for real-time screening of an actual micro-grid system operation strategy, which can integrate a simulation model to optimize the operation strategy in real time, and belongs to the technical field of new energy and micro-grid. Background technique [0002] Microgrid combines distributed power supply, load, energy storage and control devices to form a unified and autonomous controllable small power generation and distribution system, which can effectively solve the contradiction between large power grid and distributed power supply, and promote the development of distributed power generation technology . At present, the microgrid has become an effective technical means for managing distributed energy in the smart grid, which is used to solve many problems such as the difficulty of connecting distributed power to the grid, and the impact of the randomness of distributed power on the grid. Among the many related fields ...

Claims

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Application Information

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IPC IPC(8): H02J3/00H02J3/38H02J3/32G06F17/50
CPCG06F30/20H02J3/382H02J3/386H02J3/00H02J3/32H02J3/381H02J3/388H02J2203/20Y02E10/76
Inventor 丁泉钱国明黄超王熹孟杰
Owner GUODIAN NANJING AUTOMATION
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