Assessment method of comprehensive energy saving potential of distribution network considering source-load power uncertainty
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Jialin Yang
Abstract
The comprehensive energy-saving potential evaluation method of the energy-saving schemes of a distribution network considering the power uncertainty of source and load is studied in this paper. The K-means clustering method is firstly employed to extract typical scenarios of distribution network, and the forward-push back method is used to calculate the power flow in typical scenarios, then energy-saving reconstruction schemes are formulated according to the power flow calculation results. A comprehensive energy saving potential evaluation index system that consists the improvement rate of network loss, line loss rate, transformer loss rate, annual electricity saving cost, annual equipment investment cost, annual maintenance cost and voltage quality improvement rate is built, and the comprehensive evaluation method based on DEMATEL-ANP-TOPSIS mixed decision model is used to evaluate the comprehensive energy-saving potential of the energy-saving reconstruction schemes regarding the index system. Finally, the optimal reconstruction scheme is selected based on the evaluation results of energy saving potential in multiple scenarios. The effectiveness of the proposed method is verified by an example in IEEE-33 node distribution network.
Author contribution: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
Research funding: None declared.
Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
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Artikel in diesem Heft
- Research Articles
- Smart branch and droop controller based power quality improvement in microgrids
- Daily peak-based short-term demand prediction using backpropagation combined to chi-squared distribution
- Frequency regulation of a weakly connected microgrid using the fuzzy-PID controller
- Assessment method of comprehensive energy saving potential of distribution network considering source-load power uncertainty
- Application of partial eigenvalue assignment techniques to dampen electromechanical oscillations in multi-machine power systems
- Influence of magnets magnetization direction on the performance of high-speed permanent magnet synchronous starter-generator for micro-gas turbine
- Development and scaled-up simulation of an automated electrical energy management system for passageway illumination
