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A low-carbon operation method for park comprehensive energy system based on q-learning

A technology of integrated energy system and operation method, applied in the field of low-carbon operation of park integrated energy system based on Q-learning, can solve problems such as non-convex and nonlinear models, and achieve high-efficiency utilization, economy and low-carbon Effect

Active Publication Date: 2022-06-03
STATE GRID FUJIAN POWER ELECTRIC CO ECONOMIC RES INST +1
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Problems solved by technology

However, there is a strong coupling in the conversion of energy in PIES, which may make the solution model of the PIES operation strategy non-convex and nonlinear. At this time, the method of calling the solver is no longer applicable. There are also certain defects

Method used

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  • A low-carbon operation method for park comprehensive energy system based on q-learning
  • A low-carbon operation method for park comprehensive energy system based on q-learning
  • A low-carbon operation method for park comprehensive energy system based on q-learning

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Embodiment Construction

[0096] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0097] It should be noted that the following detailed description is exemplary and intended to provide further explanation of the application. unless otherwise

[0098] It should be noted that the terminology used herein is for the purpose of describing specific embodiments only, and is not intended to be limiting

[0107] 0≤P

[0110] P

[0111] H

[0112]

[0113]

[0116] H

[0117]

[0119] 4) Compression refrigerator CR: the input of CR is electric energy, and the output of cold power. In the present invention, the cooling load of the PIES is fully

[0120] F

[0121]

[0124]

[0125]

[0126] P

[0127]

[0135]

[0136]

[0137]

[0141] Most of the electricity purchased by PIES from the upper grid is generated by burning coal, which emits CO

[0143]

[0154] P

[0156]

[0157]

[0161] H

[0162]

[0165] The input of the CR is electrical energy...

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Abstract

The invention relates to a low-carbon operation method of park comprehensive energy system based on Q learning, comprising the steps of: establishing a model PIES of park comprehensive energy system based on the concept of energy hub; With the goal of minimizing the cost, establish a mathematical optimization model of the PIES low-carbon economic operation strategy; establish a Markov decision process MDP corresponding to the above optimization model, and define the state space, action space and reward function of the MDP problem accordingly; adopt the improved The Q learning algorithm solves the MDP problem, and uses a reward function to initialize the Q value table. The invention can realize the low-carbon operation of the park comprehensive energy system.

Description

A low-carbon operation method of integrated energy system in the park based on Q-learning technical field The present invention relates to the low carbon operation technical field of electric power system, especially a kind of park comprehensive energy based on Q learning System low-carbon operation method. Background technique With the increasingly prominent problems of energy shortage and environmental pollution, how to reduce energy consumption, improve energy utilization, increase Increasing the proportion of new energy to achieve sustainable development is a more concerned issue in current research. Comprehensive Energy Department of the Park In this context, the Park‑level Integrated Energy System (PIES) came into being, and PIES directly End energy users, using photovoltaic power generation, cogeneration, refrigerators and other energy conversion devices, convert solar energy and other clean energy Convert it into the form of energy required by users, there...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/06375G06Q50/06Y04S10/50
Inventor 郑洁云张林垚吴桂联宋倩芸陈浩林婷婷倪识远胡志坚陈志翁菖宏
Owner STATE GRID FUJIAN POWER ELECTRIC CO ECONOMIC RES INST
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