Author:
A. Immanuel,Babu Challa,P. Sudheer,R. Pavan Kumar Naidu,Atyam Nageswara Rao
Abstract
In this work a novel modified flower pollination algorithm has been developed to solve the problem of single and multi-objective Optimal Power Flow operations for Unified power Flow Controller in Flexible Alternating Current Transmission Systems. In the proposed Adaptive Flower Pollination Algorithm the best initial solution can be chosen from the fittest and also the weights are adaptively adjusted to get better convergence characteristics. The nature of the objective functions is non-linear and difficult to get best possible solutions within the boundary conditions of total power demand. The weak nodes are determined in the system to locate the UPFC with Fuzzy approach considering input parameters as L-Index and voltage magnitudes. The projected method is validated using IEEE-30 and IEEE-57 bus systems for three objective functions, namely, system real power loss minimization, fuel cost minimization and the combination of total generating cost and system real power loss. Results of Fuzzy- Adaptive Flower Pollination Algorithm based OPF optimization for UPFC produced optimum results for the considered objectives of total fuel cost, real power loss and for the multiobjective.
Publisher
European Alliance for Innovation n.o.
Subject
Marketing,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment
Reference41 articles.
1. J. Carpentier, “Contribution e létude do Dispatching Economique,” Bull. Soc. Franc. Elect., pp. 431–447, 1962.
2. Stephen Frank & Steffen Rebennack (2016) An introduction to optimal power flow: Theory, formulation, and examples, IIE Transactions, 48:12, 1172-1197.
3. P. Biswas, P. Suganthan and G. Amaratunga, "Optimal Power Flow Solutions Using Algorithm Success History Based Adaptive Differential Evolution with Linear Population Reduction", 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2018, pp. 249-254.
4. Mohd Herwan Sulaiman, Zuriani Mustaffa, Ahmad Johari Mohamad, Mohd Mawardi Saari, Mohd Rusllim Mohamed, Optimal power flow with stochastic solar power using barnacles mating optimizer, International transactions on electrical energy systems, vol.31, Issue 5, May 2021.
5. S. Surender Reddy and P.R Bijwe “Multi-Objective Optimal Power Flow Using Efficient Evolutionary Algorithm”, International Journal of Emerging Electric Power Systems, April 1, 2017.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献