scholarly journals Gravitational Search Algorithm for solving Unit Commitment Problems

2017 ◽  
Vol V (XI) ◽  
pp. 1497-1502
Author(s):  
M. Ramu
Keyword(s):  
Unit Commitment ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Gravitational Search ◽  
Commitment Problems

scholarly journals FPGA Eco Unit Commitment Based Gravitational Search Algorithm Integrating Plug-in Electric Vehicles

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2547 ◽  
Author(s):  
Heba-Allah ElAzab ◽  
R. Swief ◽  
Hanady Issa ◽  
Noha El-Amary ◽  
Alsnosy Balbaa ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Electric Vehicles ◽  
Power Plants ◽  
Unit Commitment ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Energy Resource ◽  
System Level ◽  
The Third ◽  
Gravitational Search

Smart grid architecture is one of the difficult constructions in electrical power systems. The main feature is divided into three layers; the first layer is the power system level and operation, the second layer is the sensor and the communication devices, which collect the data, and the third layer is the microprocessor or the machine, which controls the whole operation. This hierarchy is working from the third layer towards first layer and vice versa. This paper introduces an eco unit commitment study, that scheduling both conventional power plants (three IEEE) thermal plants) as a dispatchable distributed generators, with renewable energy resources (wind, solar) as a stochastic distributed generating units; and plug-in electric vehicles (PEVs), which can be contributed either loads or generators relied on the charging timetable in a trustworthy unit commitment. The target of unit commitment study is to minimize the combined eco costs by integrating more augmented clean and renewable energy resource with the help of field programming gate array (FPGA) layer installation. A meta-heuristic algorithm, such as the Gravitational Search Algorithm (GSA), proves its accuracy and efficiency in reducing the incorporated cost function implicating costs of CO2 emission by optimally integrating and scheduling stochastic resources and charging and discharging processes of PEVs with conventional resources power plants. The results obtained from GSA are compared with a conventional numerical technique, such as the Dynamic Programming (DP) algorithm. The feasibility to implement GSA on an appropriate hardware platform, such as FPGA, is also discussed.

A new approach for unit commitment problem via binary gravitational search algorithm

2014 ◽  
Vol 22 ◽  
pp. 249-260 ◽  
Author(s):  
Xiaohui Yuan ◽  
Bin Ji ◽  
Shuangquan Zhang ◽  
Hao Tian ◽  
Yanhong Hou
Keyword(s):  
Unit Commitment ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Unit Commitment Problem ◽  
New Approach ◽  
Commitment Problem ◽  
Gravitational Search

Improved gravitational search algorithm for unit commitment considering uncertainty of wind power

Energy ◽  
2014 ◽  
Vol 67 ◽  
pp. 52-62 ◽  
Author(s):  
Bin Ji ◽  
Xiaohui Yuan ◽  
Zhihuan Chen ◽  
Hao Tian
Keyword(s):  
Wind Power ◽  
Unit Commitment ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Gravitational Search

Analysis of Optimal Power Flow Using Gravitational Search Algorithm

2016 ◽  
Vol 3 (4) ◽  
pp. 1-11
Author(s):  
M. Lakshmikantha Reddy ◽  
◽  
M. Ramprasad Reddy ◽  
V.C. Veera Reddy ◽  
◽  
...  
Keyword(s):  
Power Flow ◽  
Optimal Power Flow ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Optimal Power ◽  
Gravitational Search

Analysis on improvement of particle memory in gravitational search algorithm

2013 ◽  
Vol 32 (10) ◽  
pp. 2732-2735
Author(s):  
Chun-long LI ◽  
Juan DAI ◽  
Feng PAN
Keyword(s):  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Gravitational Search
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