In response to the urgent need for renewable energy development and variability management due to escalating population growth, rising energy demands, and diminishing natural reserves, this research focuses on optimiz...
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This paper proposes a time-varying matrix solution to the Brockett stabilization problem. The key matrix condition shows that if the system matrix product CB is a Hurwitz H-matrix, then there exists a time-varying dia...
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This paper introduces an innovative approach for determining the dynamic stability margin of a power system. The method employs a Genetic Algorithm (GA) to optimize the parameters of a Conventional Power System Stabil...
This paper introduces an innovative approach for determining the dynamic stability margin of a power system. The method employs a Genetic Algorithm (GA) to optimize the parameters of a Conventional Power System Stabilizer (CPSS) linked with the automatic Voltage Regulator (AVR) in a multi-machine power system. The objective is to tune the stabilizers in a way that effectively shifts the lightly damped and undamped electromechanical modes of all plants to a specified region in the s-plane. To achieve this, a multiobjective problem is formulated, optimizing a composite set of objective functions that include the damping factor of the lightly damped electromechanical modes. The dynamic behavior of the system is assessed using small signal stability analysis, while the stability of the system is evaluated by monitoring the variations of eigenvalues under line-to-ground (LG) fault conditions. The proposed method is then demonstrated on a 3-machine 9-bus system, and the effectiveness and robustness of the suggested Power System Stabilizers (PSSs) are showcased by incorporating them into a conventional AVR-PSS model. This allows the proposed approach to efficiently damp low-frequency oscillations in the power system.
This paper proposes a flexible job-shop scheduling problem optimization method, which focuses on providing solutions for industrial production. First, in terms of model construction, the method further considers the c...
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ISBN:
(数字)9798331518493
ISBN:
(纸本)9798331518509
This paper proposes a flexible job-shop scheduling problem optimization method, which focuses on providing solutions for industrial production. First, in terms of model construction, the method further considers the cost of automated guided vehicles and the priority of workpiece production based on previous methods. Then, this method solves the model by non-dominated sorting genetic algorithm with self-cross and delete-mutation. It reduces the production time and energy by an average of 6.4% and 19.4%, which are 5.4% and 15.1% with the priority. Finally, the simulation verifies that the method effectively reduces the production cost while realizing the adjustment of the automated guided vehicle number and the workpiece production sequence.
The paper presents studies on the effectiveness of the use of solar trackers in mobile platforms of solar panels. It has been proven that the use of solar trackers allows more than doubling the zone of maximum energy ...
The paper presents studies on the effectiveness of the use of solar trackers in mobile platforms of solar panels. It has been proven that the use of solar trackers allows more than doubling the zone of maximum energy generation. The development of a small-sized laboratory stand for the study of mechatronic systems for automatic target tracking and positioning based on solar panels and a tracker that ensures the rotation of the platform along the light source, where experimental studies were carried out, is presented. The solar tracker has a mechanical movement system, a servo drive and an electronic position control unit that work out the hit of sunlight on the panel at an angle of 90 0 and thereby maximize energy generation.
Formal verification of safety properties is critical in many application areas. In this paper a survey of the most common and efficient methods is given. The different methods are compared for some typical scalable ex...
Formal verification of safety properties is critical in many application areas. In this paper a survey of the most common and efficient methods is given. The different methods are compared for some typical scalable examples, both modeled by transition systems and Petri nets. The methods are based on symbolic computations and logic representations of both sets and transition relations. Reachability analysis is performed not only from the initial states to any forbidden states, but also in the opposite backward direction. The reason is that a system is also safe when no initial state is backward reachable from the set of forbidden states. For safe systems the number of backward reachable states from forbidden states is often much less than the forward reachable states from the initial states. The backward strategy is shown to be very efficient and often even better than the most efficient methods that are specialized on safety analysis.
The cybersecurity of microgrid has received widespread attentions due to the frequently reported attack accidents against distributed energy resource (DER) manufactures. Numerous impact mitigation schemes have been pr...
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Nowadays the installation of distributed energy resources (DERs) is very popular all over the world. DERs bring partial independence from the external grid, fewer interruptions in the electric supply, economic benefit...
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Neural networks have proven practical for a synergistic combination of advanced control techniques. This work analyzes the implementation of rectified linear unit neural networks to achieve constrained control in diff...
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This work introduces the Multi-Objective Particle Swarm Optimisation (MOPSO) algorithm to optimise and speed up adjusting gains of a modified super-twisting second-order sliding-mode (MSTSOSM) attitude controller desi...
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