PSO Tuning of a Second-Order Sliding-Mode Controller for Adjusting Active Standard Power Levels for Smart Inverter Applications

Gonzales, Oscar; Andino, Oscar Lasso; Clairand, Jean-Michel; Escrivá-Escrivá, Guillermo

doi:10.1109/tsg.2023.3254908

Cited by 6 publications

(4 citation statements)

References 24 publications

(34 reference statements)

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“…Despite being a mature technology, it remains one of the preferred cost-effective solutions for many optimization problems. Additionally, there is a substantial body of recent literature that demonstrates its relevance and effectiveness in the context of microgrid applications [32][33][34][35][36].…”

Section: Optimizing Function Creation and Problem Solvingmentioning

confidence: 99%

Hierarchical Control and Economic Optimization of Microgrids Considering the Randomness of Power Generation and Load Demand

Shan

2023

Energies

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Hierarchical control has emerged as the main method for controlling hybrid microgrids. This paper presents a model of a hybrid microgrid that comprises both AC and DC subgrids, followed by the design of a three-layered control method. An economic objective function is then constructed to account for the uncertainty of power generation and load demand, and the optimal power guidance value is determined using the particle swarm optimization algorithm. The optimized power output is subsequently used to guide the tertiary control in the microgrid, mitigating potential safety and stability issues. Finally, the performance of each control layer is compared under dynamic changes in AC and DC loads, as well as stochastic variations in power generation and load consumption. Simulation results demonstrate that the hybrid microgrid can function stably, ensuring reliable and cost-effective AC and DC bus voltage supply despite the randomness of power generation and load demand.

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Section: Optimizing Function Creation and Problem Solvingmentioning

confidence: 99%

Hierarchical Control and Economic Optimization of Microgrids Considering the Randomness of Power Generation and Load Demand

Shan

2023

Energies

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“…The objective function is determined in advance for the design of optimization techniques based on the desired specifications and constraints [72]. The objective function used to optimize the controller parameters is typically chosen based on performance criteria that are dependent on system response [73].…”

Section: Index Criterionmentioning

confidence: 99%

Novel PID Controller on Battery Energy Storage Systems for Frequency Dynamics Enhancement

Abdillah,

Jayadiharja,

Arjadi

et al. 2023

Journal of Robotics and Control

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Frequency dynamics is one of the important aspects of power system stability. From the frequency dynamics, the operator could plan how is the reliability of the electricity. The frequency can be maintained by controlling the balance between load demand and generation. To maintain the balance of the generation, the governor is playing an important role to increase the speed of the turbine and enhance the generating capacity of the generator (ramp-up). However, as the speed of the governor is slower than the increasing load demand, in the sub-transient area, the frequency may experience higher overshoot. Hence, it is important to add additional devices such as battery energy storage systems to enhance the frequency dynamics response in the sub-transient area. One of the important parts of storage is the controller. The controller must make sure the storage charges and discharge energy are in the sub-transient area. Hence PID controller can be the solution to make the storage operate optimally This paper proposed a novel PID controller on battery energy storage systems (BESS) to enhance the dynamics performance of frequencies. The five-area power system is used as the test system to investigate the efficacy of the proposed novel idea. Time domain simulation is investigated to see the improvement of the frequency dynamics response. From the simulation results, it is found that adding a PID controller on BESS could enhance the BESS response and result in frequency dynamics response improvement.

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“…It is a first approach to the problem of governor tuning, although it is far from being optimum. This paper proposes a methodology for optimum tuning of diesel engine governors to enhance power system frequency stability using an exhaustive search approach according to controller quality indices [24,25]. The main advantage of this approach is providing a unique optimum combination of controller gain parameters.…”

Section: Introductionmentioning

confidence: 99%

Diesel Governor Tuning for Isolated Hybrid Power Systems

2023

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In recent decades, renewable energy sources, such as wind power, have extraordinarily increased their participation in the energy mix throughout the world. This progression has played an important role in lowering the usage of fossil fuels. In addition, it has reduced environmental hazards and increased the emergence of hybrid power systems, mainly in remote areas. In some of these areas, diesel power plants were the only previous source of energy. Irrespective of the benefits, hybrid power systems might face problems such as frequency deviations. To contribute to reducing these problems, this paper presents a methodology to tune diesel engine governors using the Student Psychology-Based Algorithm. This proposed methodology enhances some metrics of controller performance, such as the integral square error, integral absolute error, and number of sign changes in the frequency derivative. This approach has been tested against different perturbations (step, ramp and random). To validate the effectiveness of the proposed approach, it has been simulated in relation to the San Cristobal Island (Ecuador) hybrid wind–diesel power system. The simulation results show that the governor tuned with the proposed approach provides a better system response.

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PSO Tuning of a Second-Order Sliding-Mode Controller for Adjusting Active Standard Power Levels for Smart Inverter Applications

Cited by 6 publications

References 24 publications

Hierarchical Control and Economic Optimization of Microgrids Considering the Randomness of Power Generation and Load Demand

Hierarchical Control and Economic Optimization of Microgrids Considering the Randomness of Power Generation and Load Demand

Novel PID Controller on Battery Energy Storage Systems for Frequency Dynamics Enhancement

Diesel Governor Tuning for Isolated Hybrid Power Systems

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