This paper investigates the application of Particle Swarm optimization (PSO) in enhancing the Automatic Generation control (AGC) of thermal power and pumped storage units. Pumped storage power stations, recognized for...
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ISBN:
(纸本)9798350375145;9798350375138
This paper investigates the application of Particle Swarm optimization (PSO) in enhancing the Automatic Generation control (AGC) of thermal power and pumped storage units. Pumped storage power stations, recognized for their flexibility in peak-regulation, play a crucial role in addressing renewable energy fluctuations. Traditional PID control methods, while simple, lack dynamic adaptability, necessitating manual parameter adjustments. The PSO algorithm is introduced to optimize PID parameters, demonstrating improved dynamic performance and robustness. The study establishes a two-area automatic generation control model, incorporating detailed modeling of thermal power and pumped storage components. The PSO optimization process, utilizing the Integral of Time-weighted Absolute Error (ITAE) as a performance metric, is explained. Results from the PSO-optimized system are compared with traditional methods, showcasing superior anti-interference and rapid response capabilities. The study concludes that pumped storage power stations, coupled with intelligent algorithms like PSO, contribute significantly to frequency control systems, offering guidance for future integration of various generating units.
Flight trajectory optimization is a crucial aspect of aircraft design, and the numerical algorithms for trajectory optimization have always been a hot and challenging topic in domestic and international research. Star...
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Permanent magnet motors, often referred to as brushless direct current (BLDC) motors, are highly efficient, dependable, long-lasting, and controllable, making them suitable for a variety of applications. BLDC motor dr...
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This research aims to solve many problems people face when moving to a new place, such as housing, food, transportation, language differences and optimization. By creating recommendations, it is aimed to provide self-...
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In two-dimensional space, this paper aims at the problems of slow convergence and poor real-time performance of existing path planning algorithms. A free growing tree algorithm (SOGT) is proposed. The algorithm mainly...
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This paper presents an optimal LQR-Integral based controller (LQR-I) for balancing control of the Double Link Rotary Inverted Pendulum (DL-RIP) system. It is one of the challenging topics in control and robotics due t...
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This research paper aims to model and simulate the wind turbine emulator (WTE), which is required to build a test rig for wind turbine generator (WTG) condition monitoring. The WTE uses a D.C. machine to imitate wind ...
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The aim of this article is to address the issues of the load frequency control (LFC) of IMS-HPS comprising SPV, BGTG, and BDEG with BESS. As the presence and the increased RES penetration introduces a high level of ch...
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In order to improve the transportation efficiency of unmanned underground phosphate ore transport vehicles, ensure safety, and control costs, this paper constructs a vehicle scheduling optimization model based on an i...
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The wind turbine(WT) adopts the Step Inertia control (SIC) strategy to participate in the frequency regulation of the power grid, which helps to suppress the lowest point of frequency drop, but the SIC strategy will b...
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ISBN:
(纸本)9798350375145;9798350375138
The wind turbine(WT) adopts the Step Inertia control (SIC) strategy to participate in the frequency regulation of the power grid, which helps to suppress the lowest point of frequency drop, but the SIC strategy will bring a huge power dip in the speed recovery stage, resulting in a secondary drop in the system frequency. In this paper, the Particle Swarm optimization algorithm is used to optimize the power curve of SIC, on this basis, an improved SIC strategy based on the optimal power curve is constructed. The simulation results show that the proposed improved SIC strategy can avoid the secondary frequency drop.
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