Comprehensive energy system optimal configuration method based on affine
An integrated energy system and optimized configuration technology, applied in design optimization/simulation, resources, forecasting, etc., can solve problems such as single operation, increased conservatism, conservative results, etc., to reduce impact, improve economy and equipment Utilization, the effect of reducing conservatism
Pending Publication Date: 2021-12-10
FUZHOU UNIV
View PDF0 Cites 2 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Compared with interval optimization, the method of robust optimization focuses on considering extreme cases, requiring the constraints to be satisfied in the worst case, the results are conservative, and the operating conditions considered are relatively single
In interval optimization, the interval range obtained by interval arithmetic operations is often much larger than the actual range, and the conservatism will also increase; in addition, there are some studies that mainly consider the single uncertainty in the system, such as Uncertainty of renewable energy, ignoring multiple uncertainties
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0008] The technical solution of the present invention will be specifically described below in conjunction with the accompanying drawings.
[0009] The present invention is an affine-based comprehensive energy system optimization configuration method, which is characterized in that the affine optimization model of the comprehensive energy system is established by using affine variables, and the affine optimization model of the comprehensive energy system is decomposed into the minimum central value of the target affine function and the two sub-problems of minimizing the variation of the affine function under the influence of uncertain factors. The former is a deterministic optimization model that only considers the source load prediction power, and the latter is an uncertain optimization model that considers the source load prediction error. The model and the min model are alternately iterated, so that the configuration results are least affected by uncertain factors.
[0010]...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention relates to an affine-based optimal configuration method for an integrated energy system. The method comprises the following steps: establishing an integrated energy system optimal configuration model considering uncertainty by adopting affine variables, and decomposing the integrated energy system optimal configuration model considering uncertainty into two sub-problems of minimum central value of a target affine function and minimum variable quantity of the affine function under the influence of uncertainty factors; the former model is a deterministic optimization model which only considers the source load prediction power; the latter considers a source load prediction error; and through alternate iteration of the max model and the min model, the influence of uncertain factors on a configuration result is minimized.
Description
technical field [0001] The invention relates to an affine-based comprehensive energy system optimization configuration method. Background technique [0002] The wind-light-cooling, heating and power combined energy supply system can make reasonable use of renewable energy, improve energy utilization efficiency and reduce pollutant emissions through energy cascade utilization. However, the randomness, intermittency, volatility and load uncertainty of renewable energy will affect the economic operation of the integrated energy system. When planning an integrated energy system, if the uncertainty of wind power output and load is not considered, it will cause a series of problems such as too ideal system capacity allocation and low equipment utilization. Therefore, the collaborative planning of park micro-energy networks considering multiple uncertainties has become a research hotspot among scholars at home and abroad. In the planning of park micro-energy network, the main met...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06Q10/04G06Q10/06G06Q50/06G06F111/10
CPCG06F30/20G06Q10/04G06Q10/06313G06Q50/06G06F2111/10
Inventor 邵振国高统彤江信彬张嫣陈飞雄
Owner FUZHOU UNIV