Optimal Combination Control Technology of Demand Side Resources of Distributed Renewable Energy Power Generation
| Autor: | Qi-Jie Jiang, Yan Chen, Hong-Mei Zhou |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Mathematical optimization
Computer science business.industry Energy Engineering and Power Technology Particle swarm optimization Renewable energy Demand response Electric power system Electricity generation Power system simulation Genetic algorithm Electrical and Electronic Engineering business Global optimization |
| Zdroj: | Distributed Generation & Alternative Energy Journal. |
| ISSN: | 2156-6550 2156-3306 |
| DOI: | 10.13052/dgaej2156-3306.3631 |
| Popis: | The paper proposes a new unit commitment model that can promote car-bon emission reduction in distributed renewable energy power systems. Themodel first comprehensively considers the optimal combination of low-carbon demand-side resources such as supply-side resources and demandresponse, electric vehicles, and distributed renewable energy power gener-ation. Secondly, the model unit scheduling rules fully consider the carbonemission target and the economic target and propose a fuzzy dual-objectiveoptimization method that can consider the relative priority of the target. Whensolving the optimization model, we improved the particle swarm optimizationalgorithm. We introduced the “cross” and “mutation” operators in the geneticalgorithm to improve the particle swarm algorithm’s global optimizationcapability. The paper verifies the effectiveness of the model and algorithmthrough the analysis of a ten computer system. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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