Cuckoo Search Algorithm Application for Economic Dispatch with Wind Farm in Power Systems

2017 ◽  
Vol 07 (03) ◽  
Author(s):  
Dung Anh Le ◽  
Dieu Ngoc Vo
Keyword(s):  
Power Systems ◽  
Wind Farm ◽  
Search Algorithm ◽  
Economic Dispatch ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm

scholarly journals Application of a new constraint handling method for economic dispatch considering electric market

2020 ◽  
Vol 9 (4) ◽  
pp. 1542-1549
Author(s):  
Thanh Long Duong ◽  
Ly Huu Pham ◽  
Thuan Thanh Nguyen ◽  
Thang Trung Nguyen
Keyword(s):  
Power Systems ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Constraint Handling ◽  
Effective Technique ◽  
Unit System ◽  
Electric Market ◽  
Optimal Load ◽  
Handling Method

In this paper, optimal load dispatch problem under competitive electric market (OLDCEM) is solved by the combination of cuckoo search algorithm (CSA) and a new constraint handling approach, called modified cuckoo search algorithm (MCSA). In addition, we also employ the constraint handling method for salp swarm algorithm (SSA) and particle swarm optimization algorithm (PSO) to form modified SSA (MSSA) and modified PSO (MPSO). The three methods have been tested on 3-unit system and 10-unit system under the consideration of payment model for power reserve allocated, and constraints of system and generators. Result comparisons among MCSA and CSA indicate that the proposed constraint handling method is very useful for metaheuristic algorithms when solving OLDCEM problem. As compared to MSSA, MPSO as well as other previous methods, MCSA is more effective by finding higher total benefit for the two systems with faster manner and lower oscillations. Consequently, MCSA method is a very effective technique for OLDCEM problem in power systems.

scholarly journals Cuckoo Search Algorithm for Congestion Alleviation with Incorporation of Wind Farm

2018 ◽  
Vol 8 (6) ◽  
pp. 4871
Author(s):  
Kaushik Paul ◽  
Niranjan Kumar
Keyword(s):  
Power System ◽  
Wind Farm ◽  
Search Algorithm ◽  
Past Research ◽  
Cuckoo Search ◽  
Congestion Management ◽  
Cuckoo Search Algorithm ◽  
Optimization Techniques ◽  
Management Approach ◽  
Sensitivity Factor

The issue to alleviate congestion in the power system framework has emerged as an alluring field for the power system researchers. The research conducted in this article proposes a cuckoo search algorithm based congestion alleviation strategy with the incorporation of wind farm. The bus sensitivity factor data are computed and utilized to sort out the sutiable position for the installation of the wind farm. The generators contributing in the real power rescheduleing process are selected as per the generator sensitivity values. The cuckoo search algorithm is implemented to minimize the congestion cost with the embodiment of the wind farm.The proposed method is tested on 39 bus New England framework and the results obtained with the cuckoo search based congestion management approach outperforms the results opted with other heuristic optimization techniques in the past research literatures.

scholarly journals Comparative performance analysis of one rank cuckoo search technique based optimization for automatic generation control of interconnected power systems

2017 ◽  
Vol 7 (1.2) ◽  
pp. 37
Author(s):  
N. Manoharan ◽  
Subhransu Sekhar Dash ◽  
Raghuraman Sivalingam ◽  
Dheeraj P. R.
Keyword(s):  
Power Plant ◽  
Power Systems ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Automatic Generation ◽  
Cuckoo Search Algorithm ◽  
Automatic Generation Control ◽  
Solution Technique ◽  
Interconnected Power Systems ◽  
Generation Control

This paper presents a one rank cuckoo search optimization technique is proposed to design classical PID Controllers for Automatic Generation Control (AGC) of interconnected power systems. This method is proposed based on the original cuckoo search method. It was found in original cuckoo search the convergence speed is comparative lesser in reaching optimal solutions. To overcome the above mentioned problem one rank cuckoo search algorithm has been proposed which uses a bound by best solution technique to get the valid dimension so as to improve the system performance and rate of convergence. The proposed approach is applied to a four area hydro-thermal system in which area-1 and area-2 are steam reheat power plant and area-3 and area-4 are hydro power plant. The controller gains are derived using original cuckoo search and one rank cuckoo search methods. The superiority of the proposed approach is compared with the results obtained with original cuckoo search algorithm.

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