Optimal operation management of distributed and centralized electrolysis
Title: - Optimal operation management of distributed and centralized electrolysis- based hydrogen generation and storage systems
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Implementation Plan:
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Step 1: Initially, we designed the 33–bus power grid simulink model.
Step 2: Next, We perform the operating parameters including the grid’s constraints, eHGSS facility parameters, hydrogen demand, and electricity and hydrogen prices are inputted to the simulink model. Ancillary service signals for participation to the VAR, DR, and OR are also given to the optimization model.
Step 3: Next, we perform Operation of distributed ehgss, the simulation results obtained from the operation management model for the distributed eHGSS under various operating conditions as given hereunder,
3.1: Without ancillary services support to power grid: In this process, the distributed eHGSS does not participate in the provision of grid ancillary services, but rather utilizes lower market prices for hydrogen generation in order to meet the projected hydrogen demand.
3.2: With ancillary services support to power grid: In this process, the results of operation management are given for cases where the distributed eHGSS is scheduled for various ancillary services sent by the grid operator. In this work, these signals are generated for normal operation conditions.
Step 4: Next we perform Operation of centralized LOHC-based ehgss process, In this process the results related to the management of a centralized LOHC-based eHGSS under various cases are presented Given that the LOHC generation plants are not in the vicinity of the fuel stations (off–site), the generated fuel needs to be transported from the generation to the utilization centers.
Step 5: Comparing the results, it can be observed that both distributed eHGSS and LOHC-based eHGSS mechanisms present similar profitability trends in each scenario.
Step 6: Finally, we evaluate the following performance metrics,
6.1 Time(h) vs. Power(MW)
6.2 Time(h) vs. Storage SOC(%)
6.3 Time(h) vs. Total PowerConsumption(MW)
6.4 Hydrogen storage state of charge vs. Storage SOC(%)
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Software Requirement:
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1. Tool: Matlab-R2020a\Simulink
2. Operating System: Windows 10-(64-bit)
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