Constrained optimal power flow and optimal TCSC allocation using hybrid cuckoo search and ant lion optimizer

2021 ◽  
Author(s):  
Sheila Mahapatra ◽  
Nitin Malik ◽  
Saurav Raj ◽  
Mohan Krishna Srinivasan
Keyword(s):  
Power Flow ◽  
Optimal Power Flow ◽  
Cuckoo Search ◽  
Optimal Power ◽  
Ant Lion Optimizer ◽  
Ant Lion

Emission/fuel energy restricted dynamic optimal power flow using fuzzy - ant lion optimizer

2017 ◽  
Vol 11 (2) ◽  
pp. 208-256 ◽  
Author(s):  
Janagaraman Radha ◽  
Srikrishna Subramanian ◽  
Sivarajan Ganesan ◽  
Manoharan Abirami
Keyword(s):  
Power Flow ◽  
Optimal Power Flow ◽  
Operating Cost ◽  
Dynamic Environment ◽  
Fuzzy Decision Making ◽  
Content Type ◽  
Optimal Power ◽  
Ant Lion Optimizer ◽  
Ant Lion ◽  
First Time

Purpose This study aims to minimize operating cost, adhere to pollution norms and maintain reserve and voltage levels subject to various operational concerns, including non linear characteristics of generators and fuel limitation issues, which are useful for the current power system applications. Design/methodology/approach Improved control settings are required while considering multiple conflicting operational objectives that necessitate using the modern bio-inspired algorithm ant lion optimizer (ALO) as the main optimization tool. Fuzzy decision-making mechanism is incorporated in ALO to extract the best compromise solution (BCS) among set of non-dominated solutions. Findings The BCS records of IEEE-30 bus and JEAS-118 bus systems are updated in this work. Numerical simulation results comparison and comprehensive performance analysis justify the applicability of the intended algorithm to solve multi-objective dynamic optimal power flow (DOPF) problem over the state-of-art methods. Originality/value Optimal control settings are obtained for IEEE-30 and JEAS-118 bus systems with the objectives of minimizing fuel cost and emission in dynamic environment considering take-or-pay fuel contract issue. The fuzzy supported ALO (FSALO) is applied first time to solve the DOPF problem.

scholarly journals Optimal Power Flow Solution for Wind Integrated Power in presence of VSC-HVDC Using Ant Lion Optimization

2018 ◽  
Vol 12 (2) ◽  
pp. 625 ◽  
Author(s):  
Ramzi Kouadri ◽  
Linda Slimani ◽  
Tarek Bouktir ◽  
Ismail Musirin
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Wind Power Generation ◽  
Distribution Model ◽  
Optimal Power ◽  
Ant Lion Optimizer ◽  
Ant Lion ◽  
The Impact

<span>This paper studies the impact of incorporating wind power generation WPG on the power system on prsence of voltage source converter based high voltage DC (VSC-HVDC). A new meta-heuristic optimization technique are use for solving of the optimal power flow (OPF) problem, this technique optimization namely Ant Lion Optimizer (ALO). The optimization method is the Ant Lion Optimizer (ALO) method for resolve the optimal power flow (OPF) with incorporating of wind power generation on prsence of VSC-HVDC. And we used weibull distribution model of the wind farm. The ALO-OPF method has been examined and tested on standard test systems IEEE 30 bus with objective functions is minimization of cost total of production TPC are contain the sum of thermal and wind generation cost.</span>

scholarly journals Optimal Power Flow Using Gbest-Guided Cuckoo Search Algorithm with Feedback Control Strategy and Constraint Domination Rule

2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Gonggui Chen ◽  
Siyuan Qiu ◽  
Zhizhong Zhang ◽  
Zhi Sun ◽  
Honghua Liao
Keyword(s):  
Feedback Control ◽  
Control Strategy ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Penalty Function Method ◽  
Optimal Power ◽  
Feedback Control Strategy

The optimal power flow (OPF) is well-known as a significant optimization tool for the security and economic operation of power system, and OPF problem is a complex nonlinear, nondifferentiable programming problem. Thus this paper proposes a Gbest-guided cuckoo search algorithm with the feedback control strategy and constraint domination rule which is named as FCGCS algorithm for solving OPF problem and getting optimal solution. This FCGCS algorithm is guided by the global best solution for strengthening exploitation ability. Feedback control strategy is devised to dynamically regulate the control parameters according to actual and specific feedback value in the simulation process. And the constraint domination rule can efficiently handle inequality constraints on state variables, which is superior to traditional penalty function method. The performance of FCGCS algorithm is tested and validated on the IEEE 30-bus and IEEE 57-bus example systems, and simulation results are compared with different methods obtained from other literatures recently. The comparison results indicate that FCGCS algorithm can provide high-quality feasible solutions for different OPF problems.

Multi-Objective Optimal Power Flow Using Metaheuristic Optimization Algorithms With Unified Power Flow Controller to Enhance the Power System Performance

2018 ◽  
pp. 1-33
Author(s):  
G. V. Nagesh Kumar ◽  
B. Venkateswara Rao ◽  
D. Deepak Chowdary ◽  
Polamraju V. S. Sobhan
Keyword(s):  
Power Flow ◽  
Optimal Power Flow ◽  
Firefly Algorithm ◽  
Search Algorithm ◽  
Bat Algorithm ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Unified Power Flow Controller ◽  
Multi Objective ◽  
Optimal Power

In this chapter a multi objective optimal power flow (OPF) is obtained by using latest Metaheuristic optimization techniques BAT search algorithm (BAT), cuckoo search algorithm (CSA) and firefly algorithm (FA) with Unified power flow controller (UPFC). UPFC is a voltage source converter type Flexible Alternating Current Transmission System (FACTS) device. It is able to control the voltage magnitudes, voltage angles and line impedances individually or simultaneously. To enhance the power system performance, the optimal power flow has been incorporated UPFC along with BAT algorithm, cuckoo search algorithm and firefly algorithm based multi objective function comprising of two objectives those are total real power loss and the fuel cost of total real power generation. The BAT algorithm, cuckoo search algorithm and firefly algorithm based OPF has been examined and tested on a 5 bus test system and modified IEEE 30 bus system without and with UPFC. The results obtained with BAT algorithm, cuckoo search algorithm and firefly algorithms are compared with Differential Evaluation (DE).

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