Genetic algorithm based multi-objective optimization method for natural gas distributed energy unit parameters
A distributed energy, multi-objective optimization technology, applied in the field of multi-objective optimization of natural gas distributed energy unit parameters, can solve incomplete and incomplete problems, and achieve good economic performance and good energy cascade utilization benefits
Inactive Publication Date: 2018-10-12
HANGZHOU DIANZI UNIVERSTIY INFORMATION ENG SCHOOL
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Problems solved by technology
The optimization of the energy system should be comprehensively analyzed and designed from the whole, and it is incomplete and incomplete to optimize and control only from a certain aspect (such as energy thermal efficiency or economy).
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Embodiment 1
[0148] 1. Natural gas distributed energy system and its composition:
[0149] The total construction area of the hotel studied by the present invention is about 80,000 square meters, which is divided into a business area and a hotel area, and has a relatively large demand for electric load and cooling and heating load. The natural gas distributed energy unit is composed of a power system (gas generator set) and a waste heat utilization system (waste heat boiler, heat exchanger and lithium bromide refrigeration unit), and its energy system structure is as follows: figure 1 shown. After deducting the power consumption of the unit system from the power generation capacity of the gas internal combustion engine, all the remaining power is supplied to the user. The high-temperature flue gas above 500°C of the generating set and cylinder jacket water are used as the heat source of the plate heat exchanger or the flue gas hot water type lithium bromide unit; the temperature of the ...
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The invention discloses a genetic algorithm based multi-objective optimization method for natural gas distributed energy unit parameters. The method includes: establishing a natural gas distributed energy system for the annual energy load demand of buildings; combining the fire utilization, the engineering investment and economy benefits to establish a multi-objective optimization function model of the natural gas distributed energy system; using the fast non-dominated sorting genetic algorithm with an elite strategy to optimize and calculate the generating power w, the cooling power q1, the hot water power q2 and the device running time of a cooling and heating unit to be used to guide the design and operation scheduling of the distributed energy system; and comparing and analyzing the change rule of the energy system thermal economy and the fire utilization rate during fluctuation of various energy prices through simulation results, and obtaining the installation and running principle of the distributed energy system at different energy prices. The invention has good economic performance and energy cascade utilization benefits after optimizing the installation parameters and therunning time of the distributed energy system.
Description
technical field [0001] The application belongs to the technical field of energy optimization, in particular, it relates to a genetic algorithm-based multi-objective optimization method for parameters of natural gas distributed energy unit. Background technique [0002] Natural gas distributed energy cooling, heating, and electricity combined power supply system is one of the most typical forms of distributed energy. The system generates electricity by burning natural gas, and the waste heat is used as a lithium bromide refrigeration unit or through a heat exchanger to provide cooling or heating to users, realizing energy cascades Utilization can greatly increase the utilization value of fuel. my country has taken natural gas distributed energy as a key development direction in the energy field, and it is planned that by 2020, the total installed capacity of natural gas distributed energy will reach 50 million kilowatts. Compared with traditional coal-fired units, natural ga...
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IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 岳伟挺
Owner HANGZHOU DIANZI UNIVERSTIY INFORMATION ENG SCHOOL