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Optimal dispatching model of micro-energy grid considering multiple energy storage in multiple time scales

A multi-time scale, optimal scheduling technology, applied in energy storage, wind power generation, AC network circuits, etc., can solve the problems of low utilization rate of renewable energy, unstable renewable energy power and load power, etc. Effects of fluctuations and load forecast errors

Active Publication Date: 2021-12-14
STATE GRID SHANDONG ELECTRIC POWER COMPANY RIZHAOPOWER SUPPLY +1
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Problems solved by technology

[0003] However, in the micro-energy grid, due to the unstable power of wind, light and other renewable energy and load power, there will be large errors in day-ahead forecasting, resulting in a low utilization rate of wind, light and other renewable energy in the micro-energy network.

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  • Optimal dispatching model of micro-energy grid considering multiple energy storage in multiple time scales
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  • Optimal dispatching model of micro-energy grid considering multiple energy storage in multiple time scales

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Embodiment Construction

[0039] The following describes several preferred embodiments of the present invention with reference to the accompanying drawings, so as to make the technical content clearer and easier to understand. The present invention can be embodied in many different forms of embodiments, and the protection scope of the present invention is not limited to the embodiments mentioned herein.

[0040] The micro-energy network includes three forms of energy: electricity, heat and gas, including P2G equipment, combined heat and power micro-gas turbines, electric boilers, gas boilers, batteries, heat storage tanks, and gas storage tanks. Such as figure 1 As shown, the technical scheme adopted by the micro-energy network optimization scheduling model considering multiple energy storages under multi-time scales disclosed by the present invention is as follows:

[0041] Step 1: Determine the component parameters and network parameters of the micro energy network;

[0042] The parameters of the m...

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Abstract

The invention discloses an optimal dispatching model of a micro-energy network considering multiple energy storages under multi-time scales, and relates to the field of optimized operation of the Energy Internet. The micro-energy network includes three energy forms of electricity, heat and gas, including P2G Supply-type micro-gas turbines, electric boilers, gas boilers, batteries, heat storage tanks, and gas storage tanks; multi-time scales consider the two time scales of 1 hour before the day and 15 minutes within the day, and the establishment process of the optimal scheduling model of the micro energy network includes The following steps are as follows: step 1, determine the component parameters and network parameters of the micro energy network; step 2, establish the optimal scheduling model of the micro energy network at the level of 1 hour before the day; step 3, establish the optimal scheduling model of the micro energy network at the level of 15 minutes within the day. The present invention effectively copes with renewable energy power fluctuations and load prediction errors under the premise of ensuring the daily operating energy balance of each energy storage device, and improves the ability of the micro energy network to accommodate wind power and photovoltaics.

Description

technical field [0001] The invention relates to the field of optimized operation of the Energy Internet, in particular to an optimal scheduling model of a micro-energy network considering multiple energy storages under multiple time scales. Background technique [0002] Under the background of the deepening of the concept of Energy Internet, multi-energy complementarity and integrated optimization have become an effective way to solve the problem of local consumption of distributed renewable energy and improve the efficiency of comprehensive energy utilization. As an important part of the Energy Internet, the micro-energy grid will replace the micro-grid and play an important role in the regional integrated energy system. In the micro-energy grid, energy storage methods will be more abundant. In addition to battery energy storage, which is widely used in microgrids, it can also include energy storage equipment in the form of gas, heat, and cold energy such as gas storage ta...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/46H02J3/32
CPCH02J3/32H02J3/46H02J2203/20Y02E70/30Y02E10/56Y02E10/76
Inventor 卢芳李勇钢殷爽睿刘祥波艾芊杨小婷王家武晋京韩磊徐延波
Owner STATE GRID SHANDONG ELECTRIC POWER COMPANY RIZHAOPOWER SUPPLY
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