A Review Of Artificial Intelligence Based Optimization Techniques For Optimal Power Flow
| Author(s) | : | Ms. Kinna N. Patel |
| Institution | : | Electrical Engineering Department, Government Polytechnic, Valsad, Gujarat, India |
| Published In | : | Vol. 3, Issue 1 — January 2016 |
| Page No. | : | 105-112 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
This paper presents a review of different Artificial Intelligence (AI) methods which are one of the latestcomputational intelligent techniques to solve optimal power flow (OPF) problems. OPF is one of the most vital tools forpower system operation analysis, which requires a complex mathematical formulation to find the best solution.Conventional methods such as Linear Programming (LP), Newton Raphson (NR) and Non- Linear Programming werepreviously offered to tackle the complexity of the OPF. However, with emergence of AI methods, many novel techniquessuch as Artificial neural network (ANN), Fuzzy Logic (FL), Genetic Algorithm (GA), Evolutionary Programming (EP),Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), Bacterial Foraging Algorithm (BFA), andArtificial Bee Colony (ABC) have also received great attention. This paper gives detailed discussion of AI basedoptimization techniques to solve OPF problem which are more effective.
Ms. Kinna N. Patel, “A Review Of Artificial Intelligence Based Optimization Techniques For Optimal Power Flow”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 3, Issue 1, pp. 105-112, January 2016.
