This paper proposes a quasi-optimal power flow (OPF) algorithm for flexible DC traction systems (TPSs). Near-optimal OPF solutions can be solved with high computational efficiency by quasi-OPF. Unlike conventional algorithms, quasi-OPF does not utilize mathematical optimization algorithms but adopts new methodology. First, we adopt modeling method and successfully reveal the physical meaning of...

Voltage stability has become an important issue in planning and operation of many power systems. Contingencies such as unexpected line outages in a stressed system may often result in voltage instability, which may lead to voltage collapse. This paper presents evolutionary algorithm techniques like Genetic Algorithm (GA) and Non-dominated Sorting Genetic Algorithm II (NSGA II) approach for solv...

To guide the decision making of the expert engineer specialized in power system o peration and control; the practical OPF solution should take in consideration the critical situati on due to severe loading conditions and fault in power system. Differential Evolution (DE) is one of the best Evolutionary Algorithms (EA) to solve real valued optimization problems. This paper presents simple Differ...

This paper presents an efficient and reliable evolutionary-based approach to solve the Optimal Power Flow (OPF) problem by considering the emission issue. The OPF problem has been widely used in power system operation and planning for determining electricity prices. Therefore, the conventional optimal power flow cannot meet the environmental protection requirements, because it only considers ge...

Oil palm (Elaeis guineensis Jacq.) fronds (OPF) are the most abundant oil palm solid wastes that are generated during oil palm agriculture and harvest. Palm oil and some other palm wastes have been reported to contain high concentrations of carotenoids with vital bioactive properties. However, the extraction and quantification of carotenoids from OPF have not been reported. In this study, ultra...

Secondary phases such as Laves and carbides are formed during the final solidification stages of nickel based superalloy coatings deposited during the gas tungsten arc welding cold wire process. However, when aged at high temperatures, other phases can precipitate in the microstructure, like the γ′′ and δ phases. This work presents a new application and evaluation of artificial intelligent tech...

Optimal power flow (OPF) objective functions involve minimization of the total fuel costs of generating units, minimization of atmospheric pollutant emissions, minimization of active power losses and minimization of voltage deviations. In this paper, a fuzzy multi-objective OPF model is established by the fuzzy membership functions and the fuzzy satisfaction-maximizing method. The improved arti...

The paper presents a method for the co-optimization of energy storage systems allocation and line reinforcement in active distribution networks. objective is to guarantee capability an network follow dispatch plan by appropriately coping with high uncertainties loads stochastic renewable generation while ensuring secure operation grid minimizing power losses. proposed formulation relies on modi...

AC optimal power flow (AC-OPF) problems need to be solved more frequently in the future maintain stable and economic system operation. To tackle this challenge, a deep neural network-based voltage-constrained approach (DeepOPF-V) is proposed solve AC-OPF with high computational efficiency. Its unique design predicts voltages of all buses then uses them reconstruct remaining variables without so...

The global optimum of the optimal power flow (OPF) problem can be sought in various practical settings by adopting conic relaxations, such as second order cone programs (SOCPs) and semi-definite (SDPs). However, ZIP (constant impedance, constant current, power) exponential load models are not directly amenable with these solvers. Thus, mostly treated loads literature. In this letter, we propose...