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RISS 인기검색어
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- 저자 : Nor Azwan Mohamed Kamari (검색결과 2 건)
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Swarm Intelligence Approach for Angle Stability Improvement of PSS and SVC‑Based SMIB
Nor Azwan Mohamed Kamari,Ismail Musirin,Ahmad Asrul Ibrahim 대한전기학회 2020 Journal of Electrical Engineering & Technology Vol.15 No.3
This paper discusses the efect of multi-objective function in angle stability improvement for a single machine connected to an infnite bus system (SMIB). Minimum damping ratio, ξmin and maximum damping factor, σmax which are commonly used to indicate oscillatory stability condition in power system are merge in certain ratio to produce a multi-objective function, FMO. This new index brings the advantages of the two indices without compromising the weakness of the index involved. In this study, FMO is applied to tune parameters of static var compensator with proportional-integral-derivative controller (SVC-PID) to improve damping efciency in SMIB. The result is compared with a system connected to power system stabilizer attached with lead lag controller (PSS-LL). The parameters of SVC-PID and PSS-LL are optimized by particle swarm optimization method. Validation based on speed response, phase plane and determination of eigenvalues confrms that the proposed FMO is more efective for solving angle stability problems compared to single objective function.
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Ramli Nur Fariza,Kamari Nor Azwan Mohamed,Abd Halim Syahirah,Zulkifley Mohd Asyraf,Sahri Mohd Saiful Mohd,Musirin Ismail 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.1
This study presents the effi ciency of the wind-driven optimisation (WDO) approach in solving non-convex economic dispatch problems with point-valve eff ect. The best economic dispatch for a power system is one wherein the system can generate energy at a low cost. The calculation of the generating cost is subject to a number of constraints, such as the power demand for the entire system and the generation limit for each generator unit in the system. In addition, the system should also produce low power loss. The WDO optimisation technique is developed based on the concept of natural wind movement, which serves as a stabiliser to equalise the inequality of air pressure in the atmosphere. One major advantage of WDO over other techniques is its search accuracy. The proposed algorithm has been implemented in two systems, namely, the 10-generator and 40-generator systems. Both systems were tested in a Matlab environment. To highlight the capabilities of WDO, the results using this proposed technique are compared with the results obtained using fl ower pollination algorithm, moth fl ame optimisation, particle swarm optimisation and evolutionary programming techniques to determine the effi ciency of the proposed approach in solving economic dispatch. The simulation results show the capability of WDO in determining the optimal power generation value with minimum generation cost and low rate of power loss.
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