scholarly journals Implementation of the V2G model for optimising the load curve of the power system using PSO algorithm

Tehnika ◽  
2019 ◽  
Vol 74 (6) ◽  
pp. 841-846
Author(s):  
Andrija Ostojić ◽  
Martin Ćalasan ◽  
Saša Mujović
2020 ◽  
Vol 13 (13) ◽  
pp. 2824-2830 ◽  
Author(s):  
Neeraj Priyadarshi ◽  
Mahajan Sagar Bhaskar ◽  
Sanjeevikumar Padmanaban ◽  
Frede Blaabjerg ◽  
Farooque Azam

2018 ◽  
Vol 12 (13) ◽  
pp. 3248-3260 ◽  
Author(s):  
Haseena Kuttomparambil Abdulkhader ◽  
Jeevamma Jacob ◽  
Abraham T. Mathew

2013 ◽  
Vol 385-386 ◽  
pp. 991-994
Author(s):  
Yan Yan Wang ◽  
Yan Song Li

The power system is facing line losses, low voltage level and some other issues, this article begin with the point of the reactive power optimization, and through with the improved PSO algorithm, we find a way to reduce the line network loss.


2020 ◽  
Vol 39 (6) ◽  
pp. 8273-8283
Author(s):  
N. Kirn Kumar ◽  
V. Indra Gandhi

As the world is moving towards green energy generation to reduce the pollution by renewable sources such as wind, solar, geothermal and more. These sources are intermittent in nature, to coordinate and control with traditional power generating units a control technique is necessary. This paper mainly focuses on the design of fuzzy based classical controller using a PSO algorithm for optimal controller gains to control the frequency variations in island hybrid power system. The considered mathematical model comprises of a diesel generating model, wind turbine generator and a battery storage system. Fuzzy is an intelligent controller which is designed with trial and error rules or on the basis of past experience provided by experts or by optimization methods for optimized gains using computational algorithms. To give best solution for these kinds of problems with FLCs traditional controllers are integrated with fuzzy logic. The PSO algorithm is applied to tune the classical controller gains to decrease the frequency deviation of the island power system, during the different load and wind disturbances. The Fuzzy PID classical controller shows the best performance compared with the only fuzzy and Fuzzy-PI controller configurations by illustrating the under shoot, overshoot and settling time and the proposed method is robust for various loading conditions and different wind changes.


2013 ◽  
Vol 392 ◽  
pp. 582-585
Author(s):  
Li Jun Qin ◽  
Yu Xing Hao

This paper based on the idea of dynamic division of the load curve with the monotonicity of load curve and the PSO algorithm and gets the characteristics section. It fuses the sub-processes with the energy trajectory methods in order to describe the climbing peak and descending valley of the load curve closely, and characterizes the actual load curve. The multi-objective daily generation scheduling model is built based on the lowest cost of thermal power purchase of electricity and the lowest emissions of pollution gas. The optimal power flow based on combination of satisfaction degree and close degree are introduced to transform multi-objective into the single-objective optimization model. Decision makers can make interactive solution via adjusting goal satisfaction degree and close degree,so as to receive satisfactory results considering all aspects and make the daily generation scheduling based on energy-saving and environmental protection.


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