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Model predicative control based energy management method of distributed energy resource system

A model predictive control, distributed energy technology, applied in electrical digital data processing, special data processing applications, single-network parallel feeding arrangements, etc., can solve problems such as energy management optimization performance limitations

Active Publication Date: 2016-03-02
SOUTHEAST UNIV
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Problems solved by technology

[0003] The energy management of distributed energy systems involves the impact of renewable energy output power, energy price fluctuations, and load forecast errors, and the change of the energy state of th

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  • Model predicative control based energy management method of distributed energy resource system
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  • Model predicative control based energy management method of distributed energy resource system

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Embodiment Construction

[0065] The present invention will be further described below in conjunction with the accompanying drawings.

[0066] A distributed energy energy management method based on model predictive control of the present invention is used for optimal energy management of distributed energy systems, such as figure 1 Shown is a schematic diagram of a distributed energy system. The components of a distributed energy system include: a renewable energy power generation system, a power storage unit, an electric heat pump, a micro gas turbine, a gas boiler, and a heat storage unit.

[0067] The distributed energy energy management method based on model predictive control of the present invention, such as figure 2 shown, including the following steps:

[0068] Step 1) Establish a system model, specifically including a distributed renewable energy generation system model, a combined heat and power system model, a heat pump model, a gas boiler model, a flexible load model, an energy storage un...

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Abstract

The invention discloses a model predicative control based energy management method of a distributed energy resource system. The method comprises the following steps: first, establishing a system model and initializing the system model; collecting external information in real time, and predicting a distributed power output-power/heat load demand curve in a predictive domain P from the time t=k according to an established distributed power output predicative model and an established power/heat load demand predicative model in combination with errors between real-time data and feedback of previous time; based on a linear programming algorithm, solving an optimal objective function meeting system constraint conditions in a control domain M from the time and then output optimal control strategies; performing the first control strategy in the control domain M; monitoring the system information in real time and feeding the control result back to a local predication module to correct next predicted value; repeating the above mentioned control process at the time t=t+1 till the end of control process. By the method disclosed by the invention, the system can work at the best state all the time.

Description

technical field [0001] The invention relates to an energy optimal operation strategy of a distribution network including distributed power sources, in particular to an energy management method for distributed energy sources based on model predictive control. Background technique [0002] Model predictive control is a control method with limited time domain rolling and feedback correction. The linear programming combined with model predictive control can well couple the short-term prediction with the current state of the system, and solve the accuracy caused by the prediction error in operation control. The problem provides a better coping mechanism. At present, this method has been explored and applied in the fields of optimal operation of energy storage systems and optimal dispatch of electric vehicles. It is expected to become a new optimal control strategy in distributed energy systems. Economy is one of the important factors that need to be considered in the development ...

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Application Information

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IPC IPC(8): H02J3/00H02J3/38G06F17/50
CPCH02J3/00H02J3/382H02J2203/20Y02E60/00
Inventor 黄学良孙厚涛季振亚李军
Owner SOUTHEAST UNIV
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