scholarly journals A Frequency Control Approach for Hybrid Power System Using Multi-Objective Optimization

Energies ◽  
2017 ◽  
Vol 10 (1) ◽  
pp. 80 ◽  
Author(s):  
Mohammed Lotfy ◽  
Tomonobu Senjyu ◽  
Mohammed Farahat ◽  
Amal Abdel-Gawad ◽  
Atsuhi Yona
Keyword(s):  
Power System ◽  
Frequency Control ◽  
Multi Objective Optimization ◽  
Hybrid Power System ◽  
Control Approach ◽  
Multi Objective ◽  
Hybrid Power

A Frequency-Control Approach by Photovoltaic Generator in a PV–Diesel Hybrid Power System

2011 ◽  
Vol 26 (2) ◽  
pp. 559-571 ◽  
Author(s):  
M Datta ◽  
T Senjyu ◽  
A Yona ◽  
T Funabashi ◽  
Chul-Hwan Kim
Keyword(s):  
Power System ◽  
Frequency Control ◽  
Hybrid Power System ◽  
Control Approach ◽  
Hybrid Power

scholarly journals Robust multi-objective optimization of a renewable based hybrid power system

2018 ◽  
Vol 223 ◽  
pp. 52-68 ◽  
Author(s):  
Justo José Roberts ◽  
Agnelo Marotta Cassula ◽  
José Luz Silveira ◽  
Edson da Costa Bortoni ◽  
Andrés Z. Mendiburu
Keyword(s):  
Power System ◽  
Multi Objective Optimization ◽  
Hybrid Power System ◽  
Multi Objective ◽  
Hybrid Power

Multi-Objective Optimal Sizing Hybrid Power System in a Solar Electric Vehicle Using Particle Swarm Optimization Algorithm

2013 ◽  
Vol 694-697 ◽  
pp. 2699-2703 ◽  
Author(s):  
Shi Qiong Zhou ◽  
Gui Fang Guo ◽  
Yong Yang Xiang
Keyword(s):  
Power System ◽  
Electric Vehicle ◽  
Particle Swarm ◽  
Particle Swarm Algorithm ◽  
Multi Objective Optimization ◽  
Hybrid Power System ◽  
Optimal Sizing ◽  
Multi Objective ◽  
Hybrid Power ◽  
Swarm Algorithm

In a solar electric vehicle, the optimal sizing of hybrid power system can be considered as a multi-objective optimization problem. The two conflicting goals are to maximize the Loss of Peak Power Probability (LPPP) and minimize the system cost. And the former is related to the reliability of the system while the latter relates to whether production prototype so the two optimization objectives are important. An improved particle swarm algorithm was presented to optimal size the hybrid power system. Here the mutation operator of genetic algorithm was introduced and the acceleration factor could change with time. The optimization results show that: the improved particle swarm algorithm can well solve the hybrid power system for multi-objective optimization problems.

scholarly journals A Wind Power and Load Prediction Based Frequency Control Approach for Wind-Diesel-Battery Hybrid Power System

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Chao Peng ◽  
Zhenzhen Zhang ◽  
Jia Wu
Keyword(s):  
Power System ◽  
Real Time ◽  
Wind Power ◽  
Disturbance Rejection ◽  
Frequency Control ◽  
Load Prediction ◽  
Control Module ◽  
Hybrid Power System ◽  
Control Approach ◽  
Hybrid Power

A frequency control approach based on wind power and load power prediction information is proposed for wind-diesel-battery hybrid power system (WDBHPS). To maintain the frequency stability by wind power and diesel generation as much as possible, a fuzzy control theory based wind and diesel power control module is designed according to wind power and load prediction information. To compensate frequency fluctuation in real time and enhance system disturbance rejection ability, a battery energy storage system real-time control module is designed based on ADRC (active disturbance rejection control). The simulation experiment results demonstrate that the proposed approach has a better disturbance rejection ability and frequency control performance compared with the traditional droop control approach.

scholarly journals A Robust Frequency Control Approach in PV-Diesel Hybrid Power System

2014 ◽  
Vol 0 (1) ◽  
Author(s):  
Heri Suryoatmojo ◽  
Adi Kurniawan ◽  
Feby Agung Pamuji ◽  
Nursalim ST MT ◽  
IGP Suta Wijaya ◽  
...  
Keyword(s):  
Power System ◽  
Frequency Control ◽  
Hybrid Power System ◽  
Control Approach ◽  
Hybrid Power
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