The new modified camel algorithm (NMCA) is presented as a novel optimization method for tackling optimization problems in this research. The modified camel algorithm (MCA) and other metaheuristic algorithms are not the same as NMCA.Where it offers a fresh perspective on global optimization. The suggested method is validated using power distribution system challenges (engineering problems) that are frequently encountered in the optimization field. The IEEE 69-and 33-bus systems were used in the simulations. The NMCA algorithm was able to find the best answers in a variety of test circumstances. The findings of the NMCA are compared to those of the MCA and other well-known optimization techniques. The findings suggest that the NMCA is capable of addressing optimization problems effectively.

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This paper presents a new method for the design of maximally decimated perfct reconstruction Mbank FIR filters with symmetrical response around -where M is even. The method is based on the construction of a new unitary transformation matrix from which the different filter banks are derived Unlike the commonly used unitary matrices where every matrix section is constructed using only two parameters, the proposed new transformation has the flexibility of assigning three parameters to every section. These parameters are optimally determined to minimize the magnitude deviation of each filter bank from its ideal response. As a result, betfer stopband attenuation is achieved for the same filter complexity. Illustrative examples are given to show that for the same $Iter complexities, the proposed method oflers signGCant improvement over already published results, as well as over realizations that relmce the painvise property. 7r 2 '

Purpose In the vast majority of published papers, the optimal allocation of photovoltaic distributed generation (PVDG) units and reconfiguration problems are proposed along with the number of PVDG used in the simulation. However, optimisation without selecting the number of PVDG units installed in the distribution grid is insufficient to achieve a better operational performance of power systems. Moreover, multi-objective installation of PVDG units and reconfiguration aims to simultaneously relieve congestion problems, improve voltage profile and minimise the active and reactive power losses. Therefore, this paper aims to propose a new modified camel algorithm (NMCA) to solve multi-objective problems considering radial distribution system to achieve secure and stable operation of electric power system with good performance. Design/methodology/approach In this paper, the decision variables include the location and size of PVDG units with specific rang to determine the number of PVDG units needed to install and open network lines determined using NMCA based on the L_∞ technique. This also satisfies the operating and radial constraints. Furthermore, a benchmark comparison with different well known optimisation algorithms has been made to confirm the solutions. Finally, an analysis of the findings was conducted, and the feasibility of solutions was fully verified and discussed. Findings Two test systems – the institute of electrical and electronics engineers (IEEE) 33-bus and IEEE 69-bus, were used to examine the accuracy and effectiveness of the proposed algorithm. The findings obtained amply proved the efficiency and superiority of the NMCA algorithm over the other different optimisation algorithms. Originality/value The proposed approach is applied to solve the installation PVDG unit’s problem and reconfiguration problem in the radial distribution system, satisfying the operating and radial constraints. Also, it minimises active and reactive power losses and improves voltage profile.