Optimal multi-objective distributed generation location and capacity by elite strategy genetic algorithm considering timing characteristics
| Autor: | Xiangjun Duan, Lei Chen, Weiyan Zheng, Xinquan Wei |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
lcsh:GE1-350
Mathematical optimization Computer science Total cost business.industry Node (networking) 0211 other engineering and technologies Distributed power 02 engineering and technology Function (mathematics) 010501 environmental sciences 01 natural sciences Capacity optimization Distributed generation Genetic algorithm 021108 energy business Energy (signal processing) lcsh:Environmental sciences 0105 earth and related environmental sciences |
| Zdroj: | E3S Web of Conferences, Vol 185, p 01018 (2020) |
| ISSN: | 2267-1242 |
| Popis: | In this paper, a distributed generation location and capacity optimization model considering the probability of scenario occurrence is established. The optimization objective is to minimize the total cost of investment, annual power loss of distribution network and node voltage deviation. The improved genetic algorithm with elitist retention mechanism is used to solve the model. The IEEE33 system is used to show the location and constant capacity of the distributed power supply under different conditions. It shows that the reasonable and optimized configuration of the distributed power supply can obtain better voltage quality and minimize the cost function, which verifies the effectiveness of the proposed model. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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