ADHDP-based optimized operation method of combined cold, heat and power supply type microgrid systems

A combined cooling, heating and power supply and system optimization technology, applied in the field of system optimization, can solve the problems of the combined cooling, heating and power supply microgrid that cannot be optimized in real time, low energy utilization efficiency, and the optimization process is not stable enough

Inactive Publication Date: 2019-09-06
CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY
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Problems solved by technology

[0004] In order to solve the problems of the prior art cogeneration microgrid that cannot be optimized in real time, the energy utilization efficiency is low, and the optimization process is not stable enough, the present invention provides a microgrid that c

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  • ADHDP-based optimized operation method of combined cold, heat and power supply type microgrid systems
  • ADHDP-based optimized operation method of combined cold, heat and power supply type microgrid systems
  • ADHDP-based optimized operation method of combined cold, heat and power supply type microgrid systems

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Embodiment Construction

[0063] The operation optimization process of CCHP microgrid is complex and has the characteristics of uncertainty, nonlinearity, strong coupling, and dynamics. In view of the problems that the system cannot be optimized in real time, the energy utilization efficiency is low, and the optimization process is not stable enough in actual operation. The present invention proposes an ADHDP (Action dependent heuristic dynamic programming, action-based heuristic dynamic programming) optimized operation method for a combined cooling, heating and power microgrid system. Use the BP neural network to model the microgrid system of combined cooling, heating and power, and use this model as the model network to continuously update and optimize the weights according to the control error and performance index function until the optimal control strategy is obtained to realize the combined cooling, heating and power supply The optimal control of the small microgrid operation process improves the...

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Abstract

The operation optimization process of the combined cold, heat and power supply microgrids is complex and has the characteristics of uncertainty, nonlinearity, strong coupling and dynamics. Aiming at the problem that the current systems cannot be optimized in real time and are low in energy utilization efficiency and insufficient in optimization process, the invention discloses an ADHDP (Action dependent heuristic dynamic programming)-based optimized operation method for combined cold, heat and power supply type microgrid systems. According to the method, a BP neural network is used to establish a model for a combined cold, heat and power supply microgrid system and the model is used as a model network, and an optimization weight is continuously updated according to a control error and a performance index function until an optimal control strategy is obtained, thereby realizing the optimal control for the operation process of the combined cold, heat and power supply microgrids, improving the energy utilization efficiency and enhancing the optimization effect.

Description

technical field [0001] The invention relates to a system optimization method, in particular to an ADHDP-based micro-grid system optimization operation method for combined cooling, heating and power supply. Background technique [0002] Since the 21st century, the energy shortage caused by the depletion of conventional fossil energy has seriously restricted the rapid development of the global economy and society. The microgrid combined with renewable energy such as solar energy and wind energy has become an important energy supply mode in the future due to its flexible, economical, and environmentally friendly features. Combined Cooling Heating and Power (CCHP) microgrid is a distributed system that integrates production and supply including cooling, heating, power generation, etc. , temperature matching, cascade utilization" principle. The cooling, heating and power cogeneration microgrid system uses new energy sources such as clean natural gas, wind, and light as energy s...

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Application Information

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IPC IPC(8): G05B19/418G05B13/02G05B13/04
CPCG05B13/027G05B13/042G05B19/4184G05B19/41865G05B19/41885G05B2219/25232G05B2219/2639Y02P90/02
Inventor 葛继科陈栋刘灿陈国荣韩琦陈祖琴钟红月陈承源代雪玲吴凯
Owner CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY
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