A Distributed Energy System Optimal Configuration Method Based on Fuzzy Demand Response
A distributed energy and demand response technology, applied in the direction of machinery and equipment, can solve the problems of randomness uncertainty, different user comfort evaluation, demand side response impact, etc., and achieve the effect of improving rationality
Active Publication Date: 2021-04-02
GUANGZHOU INST OF ENERGY CONVERSION - CHINESE ACAD OF SCI
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Problems solved by technology
However, the demand-side response has a certain degree of subjectivity and shifts with the will of the user
Due to the influence of temperature and electricity price, the evaluation of user comfort is different, which affects the demand side response, which is random and uncertain
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[0026] refer to figure 1 As shown, the fuzzy demand response based distributed energy system optimal configuration method provided in this embodiment includes the following steps:
[0027] 101. Establish the energy flow topology and basic load model of the distributed energy system according to the internal structure and energy flow relationship of the distributed energy system;
[0028] Specifically, as figure 2 As shown, in this embodiment, the distributed energy system of this embodiment includes: power grid, combined heat and power (CHP), storage battery, heat storage device, electric refrigeration device, electric load, and space cooling load , space heat load and hot water load. The power grid and the CHP unit supply the terminal electric load, and the battery is charged and discharged; the electric refrigeration device obtains a certain amount of electricity to supply the space cooling load; the CHP unit recovers waste heat through the waste heat recovery device, and...
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The invention discloses a distributed energy system optimization configuration method based on fuzzy demand response. The distributed energy system optimization configuration method comprises the following steps that firstly, an energy flow topology and a basic load model of a distributed energy system are established; secondly, a function relationship between an air conditioner adjusting system device output and an indoor temperature is established based on an indoor and outdoor temperature transmission rule, and a demand side response model is obtained; secondly, based on the outdoor temperature and electricity price as the demand side response influence factors, a fuzzy demand response model based on the outdoor temperature and electricity price is developed by taking the fuzzy comprehensive judgment as a method, and the load model based on the fuzzy demand response is established; then, an optimized configuration model objective function and a constraint condition are established;and finally, an optimized configuration model is established and solved based on the energy flow topology, the load model, the objective function and the constraint conditions. According to the distributed energy system optimization configuration method, the problem of demand response participation under the common influence of outdoor temperature and electricity price is solved, the thermal energy storage characteristics of the building and the air conditioner adjusting device are fully utilized, and the economic cost of the system is greatly reduced.
Description
technical field [0001] The invention relates to the field of distributed energy technology, in particular to an optimal configuration method of a distributed energy system based on fuzzy demand response. Background technique [0002] Distributed energy systems have become an important way to promote energy transformation and improve energy efficiency. Considering demand-side response in the system planning stage can greatly reduce system economic costs. In distributed energy systems, cooling and heating loads are an important component. Therefore, when cooling and heating loads participate in demand response, cooling and heating loads can be cut to reduce operating costs. Ideally, the participation rate of user demand side response is 100%, thereby reducing the peak load of the system, reducing the total installed capacity of the system, and greatly reducing the cost of system operation and maintenance. However, demand-side response is subjective to a certain extent and sh...
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IPC IPC(8): F24F11/47F24F11/64
CPCF24F11/47F24F11/64
Inventor 李怡雪黄磊舒杰崔琼文伟仲
Owner GUANGZHOU INST OF ENERGY CONVERSION - CHINESE ACAD OF SCI