Multiobjective Optimal Control for Hydraulic Turbine Governing System Based on an Improved MOGWO Algorithm

Xia, Xin; Ji, Jie; Li, Chaoshun; Xue, Xiaoming; Wang, Xiaolu; Zhang, Chu

doi:10.1155/2019/3745924

Cited by 11 publications

(7 citation statements)

References 28 publications

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“…f j (y) ≤ f j (y * ), ∀k and f j (y) < f j (y * )for at least one objective. Evolutionary algorithms (EA) are algorithms that mimic natural phenomena and deal with problems via mechanisms that emulate the attitude of living creatures [6,66,67]. ey can (i) Search for solution sets, which are closer to the true Pareto fronts; (ii) Search for solution sets, which are sufficiently spread to represent the entire range of the Pareto front; (iii) Deal with discontinuities, nonconvexity, etc., of the Pareto fronts.…”

Section: Methods For Solving Multi-objective Optimization Problem (Moop)mentioning

confidence: 99%

“…Some of the standard multi-objective optimization algorithms that have been proposed and successfully been applied in various applications for decades [6,14,16,21,[66][67][68][69], are the nondominated sorting genetic algorithm II (NSGA-II), nondominated sorting genetic algorithm III (NSGA-III) [66], multi-objective genetic algorithm (MOGA), the multi-objective grey wolf optimizer (MOGWO) [67], etc. Each of these algorithms might be better than the other in at least one of the following criteria such as convergence, diversity preservation, and execution time [69,70].…”

Section: Methods For Solving Multi-objective Optimization Problem (Moop)mentioning

confidence: 99%

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Stochastic Optimal Design of Household-Based Hybrid Energy Supply Systems Using Sample Average Approximation

Abubakar

Borkor

Amoako-Yirenkyi

2022

Mathematical Problems in Engineering

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In terms of energy production, combining conventional and renewable energy sources prove to be more sustainable and cost-effective. Nevertheless, efficient planning and designing of such systems are extremely complex due to the intermittency of renewable sources. Many existing studies fail to capture the stochasticity and/or avoid detailed reliability analysis. This research proposes a practical stochastic multi-objective optimization tool for optimally laying out and sizing the components of a grid-linked system to optimize system power at a low cost. A comparative analysis of four state-of-the-art algorithms using the hypervolume measure, execution time, and nonparametric statistical analysis revealed that the nondominated sorting genetic algorithm III (NSGA-III) was more promising, despite its significantly longer execution time. According to the NSGA-III calculations, given solar irradiance and energy profiles, the household would need to install a 5.5 (kWh) solar panel tilted at 26.3° and orientated at 0.52° to produce 65.6 (kWh) of power. The best battery size needed to store enough excess power to improve reliability was 2.3 (kWh). The cost for the design was $73520. In comparison, the stochastic technique allows for the construction of a grid-linked system that is far more cost-effective and reliable.

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Section: Methods For Solving Multi-objective Optimization Problem (Moop)mentioning

confidence: 99%

Section: Methods For Solving Multi-objective Optimization Problem (Moop)mentioning

confidence: 99%

Stochastic Optimal Design of Household-Based Hybrid Energy Supply Systems Using Sample Average Approximation

Abubakar

Borkor

Amoako-Yirenkyi

2022

Mathematical Problems in Engineering

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“…The complete characteristic curve of a pump-turbine in China was obtained according to the measured data, and the transfer coefficient of the first-order partial derivative in the mathematical model for the pump-turbine was obtained by using the external characteristic method. Based on the established nonlinear mathematical model for the pump-turbine and the complete speed regulation system model of a pumped storage unit [16][17][18], the established speed regulation system was simulated [19].…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Modeling of Dynamic Characteristics of Pump-Turbine

2022

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Hydropower is a kind of clean energy, which can effectively reduce the consumption of fossil energy and is one of the main fields of new energy development. Pumped storage power station not only provides a solution for storing electric energy and generating excess, but also is a clean, efficient, economical and safe power system regulation method with high quality. Accurate modeling of a pump-turbine, as the core equipment of a pumped storage unit, is the key to safe and stable operation of the pumped storage unit. At present, a method of simplifying the external characteristics of a pump-turbine into a first-order linear model is widely used, which cannot effectively and accurately reveal the nonlinear dynamic characteristics of the unit in transition process. In order to meet the demand of high-precision simulation of the unit, a new method of identifying Taylor series expansion considering nonlinearity based on the torque characteristic formula and the flow characteristic formula is proposed, which is applied to the pump-turbine external characteristic model, and retains the second derivative term, making the model a second-order nonlinear model, and thus, the pump-turbine model becomes a nonlinear model. The nonlinear model established is used to simulate the load increase and load rejection of the unit, and the results are compared with those for the linear model. The comparison shows that the nonlinear model established for the pump-turbine can reveal the dynamic response of the unit more effectively and accurately than the linear model, and provide a further guarantee for the safe and stable operation of pumped-storage units, which is of great significance to hydropower energy development.

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“…Many excellent intelligent optimization algorithms are widely used in parameter optimization of PSU at present [26]. Malik and Zeng proposed a method for parameter optimization of PID governor of hydraulic turbine generator set based on the algorithm of bacteria-particle swarm optimization [27].…”

Section: Introductionmentioning

confidence: 99%

Characteristic Analysis and Optimal Regulation of Primary Frequency Regulation Condition in Low Water Head Area Based on Hydraulic-Mechanical-Electrical Coupling Model of Pumped Storage Unit

et al. 2020

Complexity

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Pumped storage power station is an important regulating tool for peak load regulation and frequency regulation of the power grid, especially its primary frequency regulation function, which is of profound significance for the safety and stability of the power grid. As the core equipment of the pumped storage power station, the reversible design of the pump turbine makes it easy to have hydraulic fluctuation and mechanical instability when the unit runs to the “S” characteristic area, which will cause the frequency oscillation of the generator under the condition of primary frequency regulation. Therefore, some innovative work is studied in this paper: (1) an accurate hydraulic-mechanical-electrical coupling system mathematical model of pumped storage unit regulation system (PSURS) is established based on full characteristic curve of the pump turbine and seventh-order synchronous generator and excitation system; (2) the dynamic response characteristics of primary frequency regulation of pumped storage unit (PSU) under different water heads and different frequency disturbances are analyzed by numerical simulation; (3) in view of the unstable condition of the unit under the large frequency disturbance when it operates in the low head and small load area, the objective optimization function considering the ITAE index of hydraulic, mechanical, and electrical factors is proposed; and (4) fractional-order PID controller and the bacterial-foraging chemotaxis gravitational search algorithm (BCGSA) combined optimization strategy is used for PSURS optimization regulation and parameter optimization. The results show that the joint optimization strategy proposed in this paper has smaller objective function value, and makes the PSURS pass through the unbalanced area quickly, with better primary frequency regulation speed and smaller regulation depth.

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Multiobjective Optimal Control for Hydraulic Turbine Governing System Based on an Improved MOGWO Algorithm

Cited by 11 publications

References 28 publications

Stochastic Optimal Design of Household-Based Hybrid Energy Supply Systems Using Sample Average Approximation

Stochastic Optimal Design of Household-Based Hybrid Energy Supply Systems Using Sample Average Approximation

Nonlinear Modeling of Dynamic Characteristics of Pump-Turbine

Characteristic Analysis and Optimal Regulation of Primary Frequency Regulation Condition in Low Water Head Area Based on Hydraulic-Mechanical-Electrical Coupling Model of Pumped Storage Unit

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