Optimal scheduling model of micro-energy grid with multi-energy storage under multi-time scales

A multi-time scale, optimized 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 power of renewable energy and load power, etc. Effects of Fluctuations and Load Forecast Errors

Active Publication Date: 2018-12-25
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 scheduling model of micro-energy grid with multi-energy storage under multi-time scales
  • Optimal scheduling model of micro-energy grid with multi-energy storage under multi-time scales
  • Optimal scheduling model of micro-energy grid with multi-energy storage under multi-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 scheduling model of a micro-energy grid with multi-energy storage under multi-time scales, which relates to the field of energy internet optimization operation. Themicro-energy network comprises three energy forms of electricity, heat and gas, including P2G equipment, a heat and power co-generation micro-combustion engine, an electric boiler, a gas boiler, an accumulator, a heat storage tank and a gas storage tank. The multi-time scale considers two time scales, one hour before the day and 15 minutes within the day. The process of establishing the optimal scheduling model of the micro-energy grid comprises the following steps: 1, determining the component parameters and the network parameters of the micro-energy network; 2, establishing an hour-level optimized dispatch model before that day of the micro-energy grid; 3, establishing a micro-energy grid intra-day 15-minute level optimal scheduling model. The invention effectively deals with the power fluctuation of the renewable energy and the load prediction error on the premise of ensuring the daily operation energy balance of each energy storage device, and improves the absorbing capacity of themicro-energy grid to the wind power and the photovoltaic.

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 Applications(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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