Optimization of Resource Allocation for Distributed Energy Consumption Based on a Meta-Heuristic Algorithm

The current distributed energy consumption resource allocation mechanism is one-to-one configuration processing, which is inefficient, leading to a significant reduction in the final consumption rate. Therefore, the optimization of distributed energy consumption resource allocation based on meta heu...

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Vydáno v:2024 3rd International Conference on Energy and Electrical Power Systems (ICEEPS) s. 198 - 201
Hlavní autoři: Huang, Zhipeng, Chen, Dongya, Qiu, Yujie, Ying, Kaiwen
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 14.07.2024
Témata:
Absorption
Configuration optimization
Distributed forms
Energy consumption
Heuristic algorithms
Meta-heuristic algorithms
Metaheuristics
Power system reliability
Power system stability
Reliability engineering
Resource allocation
Resource handling
Resource management
Stability analysis
Supply and demand
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Shrnutí:The current distributed energy consumption resource allocation mechanism is one-to-one configuration processing, which is inefficient, leading to a significant reduction in the final consumption rate. Therefore, the optimization of distributed energy consumption resource allocation based on meta heuristic algorithm is proposed. First of all, make clear the foundation of configuration objectives and constraints, adopt a multi-level approach, improve the efficiency of configuration, and set up a multi-level resource consumption and configuration mechanism. On this basis, the optimization model of resource allocation for meta heuristic calculation of energy consumption is constructed, and the optimal solution output is used to realize the optimization of allocation. The test results show that, compared with the traditional M-TMD energy absorption resource allocation method and the traditional integrated energy absorption resource allocation method, the designed meta heuristic method for calculating distributed energy absorption resource allocation optimization has a relatively high absorption rate, which indicates that the designed distributed energy absorption resource allocation optimization method is more stable and reliable with the help of the meta heuristic algorithm, it has strong stability and reliability. The higher the allocation absorption rate is, the lower the corresponding energy consumption is. This shows that the optimization effect of distributed resource allocation is better, and the actual application effect has been significantly improved.
DOI:10.1109/ICEEPS62542.2024.10693062