Abstract
In recent years, distributed generation (DG) technology has developed rapidly. Renewable energy, represented by wind energy and solar energy, has been widely studied and utilized. In order to give full play to the advantages of distributed generation and to meet the challenges of DG access to the power grid, the multi-scenario analysis method commonly used in DG optimal allocation method is studied in this paper. In order to solve the problems that may arise from using large-scale scenes in the planning of DG considering uncertainties by using multi-scene analysis method, the cluster analysis method suitable for large-scale scene reduction in scene reduction method is introduced firstly, and then an improved clustering algorithm is proposed. The validity of the scene reduction method is tested, and the feasibility of the reduction method is verified. Finally, the method mentioned in this paper is compared with other commonly used methods through IEEE-33 node system.
Highlights
With the rapid development of the global economy in the 21st century, the demand for energy in various countries is increasing
A control algorithm based on improved amplitude adaptive notch filter (AANF) is proposed for generation management of different energy sources in autonomous micro-grid
The scene reduction method based on improved clustering algorithm proposed in this paper has better retention effect for the original scene time series data, and the economic and technical indicators can basically accurately reflect the sequence status of the scene before reduction
Summary
With the rapid development of the global economy in the 21st century, the demand for energy in various countries is increasing. It is of great significance to vigorously develop distributed energy and give full play to the role of DG in the power grid [4,5,6,7,8] At this stage, a lot of research work [9,10,11] has been done on the output of distributed generation considering uncertainties, including DG location and capacity, demand side response, network reconfiguration, power and voltage quality, etc. The main objective of the proposed modified AANF (MAANF)-based control algorithm is to control the flow of active and reactive powers among the different energy sources and the load, along with the regulation of the point of common coupling (PCC) voltages and mitigation of the source current harmonics [9].
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