The essential objective of optimal power flow is to find a stable operating point which minimizes the cost of the production generators and its losses, and keeps the power system acceptable in terms of limits on the active and reactive powers of the generators. In this paper, we propose the nature-inspired Cuckoo search algorithm (CSA) to solve economic/emission dispatch problems with the incorporation of FACTS devices under the valve-point loading effect (VPE). The proposed method is applied on different test systems cases to minimize the fuel cost and total emissions and to see the influence of the integration of FACTS devices. The obtained results confirm the efficiency and the robustness of the Cuckoo search algorithm compared to other optimization techniques published recently in the literature. In addition, the simulation results show the advantages of the proposed algorithm for optimizing the production fuel cost, total emissions and total losses in all transmission lines.

Dynamic Economic Load Dispatch (DELD) is a significant problem in microgridincluding renewable energy sources (RESs). The aim of this paper is to minimize the overall cost of the system while ensuring that the power demands of the consumers are met. However, with the added complexity of RESs, conventional optimization techniques may not be able to provide optimal solutions. This is where metaheuristic algorithms come into play, which are optimization techniques inspired by natural phenomena such as biological, nature, and animal behavior. This studycovers a new bio-inspired algorithm called Tunicate Swarm Algorithm (TSA)applied for solving DELD in microgrid with considering the variable power output of RES such as wind and solar energy. The DELD problem should also incorporate various constraints such as power balance and generation limits. Four cases of DELD containing RESs are treated. The obtained resultsare compared to other methods.. The result shows that for the DELD problem, the TSA demonstrate the superiority in term of optimise thegeneration cost compared to other optimization techniques.

The expansion of the electrical network necessitates the construction of new power plants and the extension of underground power transmission and distribution systems. However, underground power cables, such as XPLE 220 kV, can cause significant electromagnetic pollution. This paper focuses on...

Over the past few years, the use of very high-voltage underground electrical cables has gradually increased for the transmission of electricity in densely populated areas. This article presents a two-dimensional simulation based on the magnetostatic formulation to assess the magnetic field generated by a 400 kV underground high-voltage cable using the finite element method. An experimental study is conducted to evaluate magnetic pollution according to position and 2D coordinates for a variable load. The novelty lies in conducting this study in two scenarios: underground in the duct and the second case at the tunnel exit or aerial. In general, both the numerical simulation results and experimental findings are compared to demonstrate the efficiency of our model. The comparison of the two results shows a strong resemblance; they are very close with minimal errors, which ensures the validity of the adopted method.