Economic Dispatching Strategy for DC Microgrid Considering the Demand of Electric Vehicle Users

doi:10.12204/j.issn.1000-7229.2021.07.005

Abstract

Abstract:

With the rapid development of EVs, more and more attention has been paid on the dispatching of electric vehicles participating in micro-grid. Studying the energy management of EV users' requirements is helpful to the stable and economic operation of micro-grid. An economic dispatch strategy of DC micro-grid, which takes into account the needs of EV users, is proposed in this paper. When considering the different demands of EV users for charging time and charging speed, an EV classification model under the graded charging price is established, including four charging types such as instant type, elastic type, compensating type and night type. Users participating in micro-grid dispatching upload reservation information through mobile App one day in advance. The micro-grid dispatch center integrates the user appointment information and the day-ahead forecast data of renewable energy and important loads, and takes the goal of minimizing the operating cost of the system and the converted cost of the power fluctuation of the tie line, considering the relevant constraints of each unit, so as to realize the reasonable planning of the charging time of EVs. Finally, an example is given to verify the economy and effectiveness of the scheduling strategy.

Key words: DC microgrid, EV users' requirements, graded charging price, economic dispatch, power fluctuation of tie line

CLC Number:

TM73

ZHAO Jia, MENG Runquan, WEI Bin, WANG Lei, HAN Xiaoqing. Economic Dispatching Strategy for DC Microgrid Considering the Demand of Electric Vehicle Users[J]. ELECTRIC POWER CONSTRUCTION, 2021, 42(7): 39-47.

Figures/Tables 14

Fig.1 Structure diagram of a DC microgrid

Fig.2 EV reservation charging mode

Table 1 Parameters of distributed power supply

Table 2 TOU price

Table 3 Parameters of fuel cell

Table 4 User reservation information

Fig.3 Output power prediction curve of WT and PV

Fig.4 Prediction curve of important load

Table 5 Results of taking different values for parameter β

Table 6 Comparison of scheduling results of AC microgrid and DC microgrid

Fig.5 Results of EV charging power

Fig.6 Dispatch results of distributed power supply

Table 7 Scheduling costs of two schemes元/天

Table 8 Charging fees of EV users 元

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