MMC Stationary Operating Regimes In Case Of Periodic Power Demand On The DC-Side

Author(s):  
Hendrik Fehr ◽  
Albrecht Gensior
2017 ◽  
Vol 137 (8) ◽  
pp. 1043-1051 ◽  
Author(s):  
Yusuke Morimoto ◽  
Shintaro Negishi ◽  
Satoshi Takayama ◽  
Atsushi Ishigame

2019 ◽  
Vol 1 (1) ◽  
pp. 41-46
Author(s):  
Manikandan R ◽  
Kavya P ◽  
Shalini R

In this paper, restructuring of monopolistic power systems is inevitable in this day and age to cope up with the radical growth of power demand. In developed countries restructuring is already in place while developing countries are getting accustomed to it. Above and beyond the benefits to customers in terms of economy and quality, there are several challenges prevailing particularly in transmission while exercising deregulation. The foremost challenging task of Independent System Operator (ISO) is managing the transmission line congestion in a deregulated power system. In most of the congestion management techniques, only the economic aspects are considered. The minimum voltage derivation for electronic industries and acceptable voltage derivation for high power applications are considered with suitable weighting factors in the objective function.


Author(s):  
A V Bondarev ◽  
S V Sarkisov ◽  
V N Tarasov ◽  
V A Vakunenko ◽  
N A Biryukov

2021 ◽  
Vol 12 (1) ◽  
pp. 6
Author(s):  
Alexander Koch ◽  
Tim Bürchner ◽  
Thomas Herrmann ◽  
Markus Lienkamp

Electrification and automatization may change the environmental impact of vehicles. Current eco-driving approaches for electric vehicles fit the electric power of the motor by quadratic functions and are limited to powertrains with one motor and single-speed transmission or use computationally expensive algorithms. This paper proposes an online nonlinear algorithm, which handles the non-convex power demand of electric motors. Therefore, this algorithm allows the simultaneous optimization of speed profile and powertrain operation for electric vehicles with multiple motors and multiple gears. We compare different powertrain topologies in a free-flow scenario and a car-following scenario. Dynamic Programming validates the proposed algorithm. Optimal speed profiles alter for different powertrain topologies. Powertrains with multiple gears and motors require less energy during eco-driving. Furthermore, the powertrain-dependent correlations between jerk restriction and energy consumption are shown.


Author(s):  
QiheLou ◽  
QiLyu ◽  
Zhixiong Na ◽  
Dayan Ma ◽  
Xiaoguang Ma

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