| Autor: |
Zhiqi Li, Xueshan Han, Ming Yang, Yiran Ma |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
Global Energy Interconnection, Vol 3, Iss 4, Pp 303-312 (2020) |
| Druh dokumentu: |
article |
| ISSN: |
2096-5117 |
| DOI: |
10.1016/j.gloei.2020.10.001 |
| Popis: |
Given the increasing uncertainties in power supply and load, this paper proposes the concept of power source and grid coordination uniformity planning. In this approach, the standard deviation of the transmission line load rate is considered as the uniformity evaluation index for power source and grid planning. A multi-stage and multi-objective optimization model of the power source and grid expansion planning is established to minimize the comprehensive cost of the entire planning cycle. In this study, the improved particle swarm optimization algorithm and genetic algorithm are combined to solve the model, thus improving the efficiency and accuracy of the solution. The analysis of a simple IEEE Garver’s 6-node system shows that the model and solution method are effective and feasible. Moreover, they are suitable for the coordinated planning of the power source and grid under a diversified nature of power supply and load. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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