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Multi-energy complementation microgrid scheduling method based on multi-time scales

A technology with multiple time scales and scheduling methods, applied in AC network circuits, electrical components, circuit devices, etc., can solve problems such as insufficient volatility research, no microgrid model including ice storage air conditioners, and complex operation modes of ice storage air conditioners.

Active Publication Date: 2016-07-27
STATE GRID TIANJIN ELECTRIC POWER +2
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Problems solved by technology

Existing micro-grid scheduling strategies do not fully consider the volatility of renewable energy such as wind power and photovoltaics, or only consider the impact of the volatility of renewable energy in day-ahead scheduling, but insufficient research on its volatility in real-time scheduling; in addition , the operation mode of ice storage air conditioner is complex, and there is almost no microgrid model including ice storage air conditioner in the current research; in view of the situation that there are many devices and complex constraints in the microgrid system, find a microgrid optimal scheduling algorithm suitable for multi-objective and multi-time scales , is a prominent problem facing microgrid builders

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Embodiment Construction

[0099] Embodiments of the present invention are described in further detail below in conjunction with the accompanying drawings:

[0100] A multi-time scale-based multi-energy complementary microgrid scheduling method, such as figure 1 shown, including the following steps:

[0101] Step 1. Set up the microgrid system scenario and model the combined cooling, heating and power supply equipment, ice storage air conditioner and battery equipment in the microgrid system scenario.

[0102] The specific steps of the step 1 are: establish the following models and constraint equations respectively: the electric output efficiency model of the combined cooling, heating and power supply equipment, the relationship model between the electric output and the cooling output, and the constraint equation; Output models and constraint equations under the mode, ice-making mode, ice-melting mode, and mixed mode of air-conditioning and ice-melting; operation constraint equations under the battery ...

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Abstract

The invention relates to a multi-energy complementation microgrid scheduling method based on multi-time scales. According to the technical points, the method comprises the following steps of: 1, setting a microgrid system scene, and respectively modeling a combined cooling heating and power device, an ice-storage air conditioner and a storage battery device in the microgrid system scene; 2, based on photovoltaic and wind power output scene generation and elimination technologies, analyzing the uncertainties of photovoltaic output and wind power output, and eliminating the fluctuation influences of the output of photovoltaic and wind power renewable energy sources; 3, establishing day-ahead combined optimization scheduling model; 4, establishing a microgrid real-time optimization scheduling model; 5, based on an improved particle swarm optimization algorithm, solving the microgrid day-ahead combined optimization scheduling model and the microgrid real-time optimization scheduling model, and obtaining a multi-energy complementation microgrid operation strategy under multi-time scales. According to the invention, the operation cost of the microgrid is lowered, the utilization efficiency of energy is fully improved, and the method has an important effect on the aspect of peak shaving and load shifting of a power grid.

Description

technical field [0001] The invention relates to the technical field of microgrid scheduling, in particular to a multi-time scale-based multi-energy complementary microgrid scheduling method. Background technique [0002] At present, as an important part of the smart grid, the microgrid has great potential in reducing energy consumption and improving the reliability and flexibility of the power system. one of the key research directions. Existing micro-grid scheduling strategies do not fully consider the volatility of renewable energy such as wind power and photovoltaics, or only consider the impact of the volatility of renewable energy in day-ahead scheduling, but insufficient research on its volatility in real-time scheduling; in addition , the operation mode of ice storage air conditioner is complex, and there is almost no microgrid model including ice storage air conditioner in the current research; in view of the situation that there are many devices and complex constra...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00
CPCH02J3/00H02J3/005H02J2203/20
Inventor 蒋菱王旭东于建成李国栋霍现旭吴磊王凯徐青山曾艾东
Owner STATE GRID TIANJIN ELECTRIC POWER
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