Abstract
Original scientific paper Harmonics are one of the important factors in determining the energy quality in power systems. Hence, eliminating or damping undesired harmonics is crucial in electrical power systems. Due to their low costs, Passive Power Filters (PPF) are widely used in industrial power systems to limit harmonics’ undesired affects. In this study, a new approach to design a PPF for power systems using heuristic Gravitational Search Algorithms (GSA) is proposed. Traditional Try and Error (TAE) method is, first, utilized to eliminate harmonics in our model power system. Then, GSA is adopted to minimize the effective current value of Point of Common Coupling (PCC) in the same model system. Our results yield that our proposed method with GSA eliminates the harmonics effectively.
Highlights
Today, power quality is important for consumers as well as electrical energy producers
The results of the Gravitational Search Algorithms (GSA) based filter designs made to resolve these harmonic problems in the system were discussed in this paper
GSA based single-tuned passive power filter designs and harmonic analysis was performed on an industrial power system
Summary
Power quality is important for consumers as well as electrical energy producers. Increasing use of nonlinear loads in electrical power systems has started to create serious harmonic problems in transmission and distribution system. This situation negatively affects the quality of the energy distributed to the customers. The second is the line analysis method which utilizes active and passive power filters [3, 4, 5] Due to their economical costs, PPFs are widely used in the industry as a solution to power quality problems [6, 7]. Passive filters were designed based on genetic algorithms, and by using its source current rms value as the objective function, the minimization process was achieved [12]. Results show that our design conforms to the IEEE-519-1992 standard
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