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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.
Rosli Hazwani Mohd,Mokhlis Hazlie,Mansor Nurulafiqah Nadzirah,Sapari Norazliani Md,Halim Syahirah Abd 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.3
Islanding of distribution network can severely aff ect the system frequency and voltage due to imbalance power between generation and load demand. In a standard practice, distributed generations (DGs) are required to be disconnected when islanding occurs because of the technical concerns. However, the practice is not an ideal approach as the DGs can be used to energize some of the loads in the system. However, DGs can be allowed to continuously operate by addressing the power imbalance between generation and load demand by means of load shedding scheme (LSS). Therefore, this paper proposes an improved LSS based on modifi ed Discrete Evolutionary Programming (MDEP) and analytic hierarchy process (AHP). Two factors, which are the minimum power imbalance and minimum stability index are considered to attain a stable frequency and voltage of the system. The MDEP starts by short-listing the bus candidates to be shed while AHP method decides on the rank of the load to be shed considering both the power imbalance and stability index. The performance of the proposed LSS is evaluated based on the frequency responses. The eff ectiveness of the proposed scheme is tested on an 11 kV Malaysian distribution network, energized by the grid and two mini-hydros. Simulation results show a signifi cant improvement in the consistency (73.3%) of the proposed MDEP and converged at lower iteration number. Comparative study reveals the eff ectiveness of the proposed LSS in stabilizing the system frequency without frequency overshoot, a reduction of 68.4% and 17.7% of operating time during islanding and overloading events. Voltage profi le of the system is also improved for all buses.