Micro-energy grid multi-objective planning method based on power-to-gas technology and renewable energy utilization
A technology of renewable energy and multi-objective planning, which is applied in the field of multi-objective planning of micro-energy networks considering power-to-gas technology and renewable energy utilization, and can solve problems that have not been fully studied
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Embodiment 1
[0095] In order to effectively realize the multi-objective planning of the micro-energy network including P2GSS and renewable energy, the present invention provides a multi-objective planning method for the micro-energy network considering the power-to-gas technology and the utilization of renewable energy, as described below for details:
[0096] 101: Modeling of Key Devices in Micro Energy Grids
[0097] (1) Electrolytic hydrogen model
[0098] In the process of hydrogen production from alkaline water electrolysis, the relationship between the output of hydrogen and oxygen and the input of electric energy is:
[0099]
[0100]
[0101] In the formula: V H2 , V O2 are the production rates of hydrogen and oxygen, respectively, Nm 3 ·h -1 ;P Ele is the electric power of the input electrolytic hydrogen; η Ele is the hydrogen conversion factor of the electrolytic hydrogen unit.
[0102] (2) Fuel cell model
[0103] The relationship between the power output of the fu...
Embodiment 2
[0166] First set the scene, scene 1 does not consider energy storage, including figure 1 All equipment except P2GSS and storage battery; Scenario 2, adding storage battery on the basis of Scenario 1; Scenario 3, adding P2GSS on the basis of Scenario 1; Scenario 4, the micro-energy network structure is as follows figure 1 As shown, consider battery and P2GSS for energy storage;
[0167] The Pareto optimal planning scheme set of the micro-energy grid in different scenarios is obtained through optimization. First, the scenarios 1 to 4 are analyzed to compare the performance of the micro-energy grid planning schemes under different energy storage methods, and then the scenarios 4 and 5 are compared. To analyze the relationship between the renewable energy integration of the micro-energy grid and the performance such as economic cost.
[0168] The Pareto front of Scenario 1-Scenario 4 is as image 3 shown. In the same scenario, the solutions in the Pareto optimal solution set ar...
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