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

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...

AI Technical Summary

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 can optimize the cogeneration microgrid in real time according to the operating status of the system The dispatching strategy-based ADHDP-based cooling, heating and power cogeneration microgrid system optimization operation method includes the following steps:

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