Stackelberg game based energy internet day-ahead optimization control method

An energy internet and optimal control technology, applied in the direction of AC network load balancing, single-network parallel feeding arrangement, forecasting, etc., can solve the problems of poor reliability, large amount of calculation, and lack of flexibility in energy transmission.

Active Publication Date: 2019-06-07
ZHEJIANG UNIV OF TECH
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AI Technical Summary

Problems solved by technology

[0004] The traditional power grid adopts centralized control and scheduling, and the global information can be obtained through the central controller to achieve optimal scheduling, so the calculation is large, the reliability is poor, the investment cost is high, and the energy transmission lacks flexibility

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  • Stackelberg game based energy internet day-ahead optimization control method
  • Stackelberg game based energy internet day-ahead optimization control method
  • Stackelberg game based energy internet day-ahead optimization control method

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Embodiment Construction

[0119] The present invention will be further described below in conjunction with the accompanying drawings.

[0120] refer to Figure 1 to Figure 7 , a master-slave game-based optimization control method for the Energy Internet, including the following steps:

[0121] S1: First build the energy local area network group model, initialize the system and obtain the parameters required for optimization, including the day-ahead forecast data of wind energy, solar energy and energy storage;

[0122] S2: Establish a master-slave game model. The network group control center is the leader, which sets the initial internal price, and each ELN subnet is a follower, who makes decisions based on the initial internal price and calculates the corresponding optimal strategy;

[0123] S3: The network cluster control center integrates the policy sets of each ELN subnet, with the goal of maximizing the interests of the network cluster control center, and recalculates the internal price, which is...

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Abstract

The invention discloses a stackelberg game based energy internet day-ahead optimization control method. The method includes performing initialization on a system, and obtaining relevant parameters; setting an initial internal price by a network group control center, performing decision making by each ELN subnet according to the initial price, and calculating the corresponding optimal strategy; integrating strategy sets by the network group control center, taking the maximization of the benefits of the network group control center as a target, and calculating the updated internal price; and through such repeats, outputting the optimized strategy sets at the moment as day-ahead optimization results when a game reaches Stackelberg equalization and the internal price is not changed. The methodcan effectively enhance the absorptive capacity of energy internets on new energy and the reliability of the system in case of failure, and can increase the economic benefits of the energy internetsto a certain extent.

Description

technical field [0001] The invention relates to a day-ahead optimization control method of the Energy Internet based on a master-slave game. Background technique [0002] Scholars from various countries have combined smart grid, micro-grid and other grid technologies with multi-dimensional interconnected Internet technologies to propose the concept of Energy Internet that deeply couples energy networks and information networks. Energy Local Network (ELN) is the most basic optimization of Energy Internet. And the scheduling unit has become a research hotspot in academia and industry since it was proposed. [0003] The Energy Internet is a comprehensive energy system that deeply integrates electricity, natural gas, and new energy. It interconnects the production, manufacturing, storage, and transmission of energy to maximize the optimal allocation of resources. However, there are many distributed devices in the energy Internet, the amount of data received and analyzed by the ...

Claims

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Application Information

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IPC IPC(8): H02J3/46H02J3/28G06Q10/04G06Q50/06
CPCY02E40/70Y04S10/50
Inventor 张有兵王国烽赵康莉胡成鹏卢俊杰翁国庆
Owner ZHEJIANG UNIV OF TECH
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