scholarly journals Optimal power regulation for wind integration in the balancing market environment

2021 ◽  
Author(s):  
Xue Lyu ◽  
Dominic Groß ◽  
Zhao Xu ◽  
Zhaoyang Dong ◽  
Youwei Jia
Keyword(s):  
Market Environment ◽  
Wind Integration ◽  
Optimal Power ◽  
Power Regulation

An Iterative Power Regulation Technique in Emergency Cognitive Radio Network based on Firefly Algorithm

2020 ◽  
Vol 10 ◽  
Author(s):  
Swagata Roy Chatterjee ◽  
Supriya Dhabal ◽  
Swati Chakraborti ◽  
Mohuya Chakraborty
Keyword(s):  
Cognitive Radio ◽  
Sensor Node ◽  
Firefly Algorithm ◽  
State Of The Art ◽  
Fitness Function ◽  
Base Station ◽  
Sensor Nodes ◽  
Comparative Performance ◽  
Optimal Power ◽  
Power Regulation

Background: Manmade disasters like explosion, toxic wastes, chemical spills etc. have become an imperative concern for our society. Manmade disasters are not everyday phenomenon. Thus, the allocation of separate resources is not realistic. The idea is to use existing cellular infrastructure to implement single hop cognitive radio sensor network for protecting human being from manmade disasters. Objective: The main objectives of this paper are as follows: (a) design of an efficient iterative power regulation algorithm based on Firefly Algorithm for the proposed network, (b) computation of sensor nodes’ optimal power for different position of the cellular user from the base station assuming that cellular user compromises power for its own sensor node, (c) computation of maximum number of sensor nodes coupled with single cellular user for different distances from the base station in worst channel condition, and (d) comparative performance analysis with state-of-the-art algorithms. Method: In presence of explosive and toxic gases, cognitive radio in sensor node establishes connection with the nearest base station to send pre-disaster alert signal utilizing cellular user’s resources. The power is distributed among sensor nodes maintaining the fundamental requirements of cellular users. Here an iterative power regulation mechanism is employed for distributing the power between sensor node and cellular user to achieve reliable utility of the network. The fitness function is designed under the constraints of interference and the designed algorithm is implemented in MATLAB platform towards the searching of optimal power of sensor nodes by maximizing the fitness function. Results: Comparative performance analysis demonstrates the effectiveness of proposed algorithm in terms of speed of convergence, position of mobile phone user from the base station, number of coupled sensor nodes with single cellular user, and Jain’s fairness factor. Conclusion: The proposed network controls the occurrence of manmade disasters and achieves reliable transmission of emergency information prior to disaster without disrupting the cellular phone users. Simulation results validate that the proposed IPRFA algorithm outperforms with respect to state-of-the-art methods in terms of sharing power and Jain’s fairness factor.

Optimal power flow solution considering wind integration using dance bee colony with dynamic step

2018 ◽  
Vol 14 (2/3) ◽  
pp. 133
Author(s):  
Boubakeur Hadji ◽  
Belkacem Mahdad ◽  
Kamel Srairi ◽  
N. Mancer
Keyword(s):  
Power Flow ◽  
Optimal Power Flow ◽  
Wind Integration ◽  
Flow Solution ◽  
Bee Colony ◽  
Optimal Power

Optimal Power Scheduling of Cooperative Microgrids in Electricity Market Environment

2019 ◽  
Vol 15 (7) ◽  
pp. 4152-4163 ◽  
Author(s):  
Rinalini Lahon ◽  
Chandra P. Gupta ◽  
Eugene Fernandez
Keyword(s):  
Electricity Market ◽  
Market Environment ◽  
Power Scheduling ◽  
Optimal Power

Optimal Power Flow Using Newton’s Method

2012 ◽  
Vol 3 (2) ◽  
pp. 167-169
Author(s):  
F.M.PATEL F.M.PATEL ◽  
◽  
N. B. PANCHAL N. B. PANCHAL
Keyword(s):  
Newton’S Method ◽  
Newton's Method ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Optimal Power
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