System and method for optimizing overall planning of distributed energy

Abstract

The invention discloses a system and a method for optimizing overall planning of distributed energy. The system comprises a matrix laboratory (MATLAB) optimization analysis part, and a Microsoft EXCEL system input part and a Microsoft EXCEL system output part which are combined with the MATLAB optimization analysis part. The optimization method comprises the following steps of: (1) predicting andanalyzing; (2) modeling and outputting an optimization variable, a performance parameter and a system power flow network chart by using a combined cooling heating and power (CCHP) energy system; (3) starting a scheme optimization process by using a CCHP energy overall planning optimization module; (4) verifying and evaluating an optimization scheme by using a system constraint subsystem; and (5) outputting an optimization scheme. Modeling description is effectively performed on thermal equipment in combination with a mathematical modeling measure, an overall evolutionary algorithm with high performance is optimized and microscopic configuration optimization, and annual operating strategy optimization are performed on the entire system; the system and the method support optimization of a simple cyclic energy system and a more complicated combined cyclic energy system; and the efficiency and economic benefit of the entire energy system are improved.

Description

technical field [0001] The invention relates to the field of overall planning of distributed energy sources, in particular to a set of system and optimization method for overall planning optimization of distributed energy sources with a combined cooling, heating, and electricity supply system as the core. [0002] Background technique [0003] At present, the vast majority of distributed energy systems with CCHP as the core adopt the traditional design principles of "determining electricity by heat" or "determining heat by electricity" for energy planning. figure 1 It is a set of triple energy supply system scheme designed based on the principle of "heating with electricity": the designer firstly stipulates that the generator set needs to supply 35% of the basic electric load subjectively according to the load demand, and then determines the scale capacity and selection of the generator set. Then, according to the waste heat provided by the equipment, the scale capacity of ...

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Problems solved by technology

[0004] The above two traditional design methods have disadvantages: on the one hand, "fixing power by heat" may cause the generator set to operate in a too low load range for a long time; on the other hand, "fixing heat by electricity" may lead to excessive waste heat discharge; Reduce the system efficiency and weaken the economic gain brought by the triple energy supply system

These systems usually lack effective modeling methods, or greatly simplify the system complexity by simplifying the modeling process, treat the entire system as a linear problem and use commercial and non-commercial linear programming software to optimize its configuration. In addition, Most literature fails to provide an effective yearly (8760 hours) run strategy

On the one hand, oversimplification of the system leads to a lack of objectivity and accuracy in the system description, which makes the design plan deviate from reality: there are many nonlinear factors in the actual energy system, such as the power generation efficiency of the generator set under different working conditions, etc.; on the other hand, it is unreasonable The operating strategy will reduce the efficiency and economic benefits of the entire energy system

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