Abstract
Recently, Dispatching methods for DC distribution networks have been the focus of researches. However, there is not an evaluating index, which considers the intense coupling property of power and voltage in DC distribution networks, to judge the effectiveness of these methods. Aiming at DC distribution networks with complicated converters' control modes, this paper proposes an evaluating index utilizing Thevenin theorem. Then, an auto regulation of droop control is presented based on the analysis of droop characteristic. Besides, according to the aforementioned evaluating index, this paper designs an automatic generation control strategy for DC distribution networks with converters' multi-control, whose function is to optimize bus power, bus voltage and network losses with the modified genetic algorithm (GA). The auto regulation of droop control and automatic generation control strategy compose the two-stage dispatching method. Finally, a testing network is employed to demonstrate the practicality and applicability of the evaluating index and the two-stage dispatching method. Results show that the evaluating index can accurately reflect the operating conditions of DC distribution networks with different forms of converter control and the operating conditions can be effectively optimized with two-stage dispatching method.
Original language | English |
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Title of host publication | 2018 International Conference on Power System Technology, POWERCON 2018 - Proceedings |
Publisher | IEEE |
Pages | 2336-2342 |
Number of pages | 7 |
ISBN (Electronic) | 9781538664612 |
DOIs | |
Publication status | Published - 3 Jan 2019 |
Event | 2018 International Conference on Power System Technology, POWERCON 2018 - Guangzhou, China Duration: 6 Nov 2018 → 9 Nov 2018 |
Conference
Conference | 2018 International Conference on Power System Technology, POWERCON 2018 |
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Country/Territory | China |
City | Guangzhou |
Period | 6/11/18 → 9/11/18 |
Keywords
- DC distribution network
- evaluating index
- two-stage dispatching method
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering
- Control and Optimization