Discussion: “Five Years’ Experience on the Consolidated Edison System With Protection of Turbine Generators and Boilers by Automatic Tripping” (Beattie, W. C., Bauman, H. A., Driscoll, J. M., Onderdonk, P. T., and Webb, R. L., 1959, ASME J. Eng. Power, 81, pp. 133–139)

Ipsen, P. G.; Jackson, Rebecca L.

doi:10.1115/1.4008031

Cited by 1 publication

(2 citation statements)

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“…The MOPSO algorithm speed update formula is shown in formula (7)，The value of the weight w directly affects the flight speed and direction of the particles, which in turn affects the convergence of the algorithm, as shown in figure 2.…”

Section: Linear Decreasing Weight Updating Strategymentioning

confidence: 99%

“…In recent years, sliding mode control [2], fuzzy control [3], predictive control [4], fractional order PID control [5] and intelligent optimization algorithm [6][7][8][9]have been successively applied to the control research of pumped storage unit regulation system. However, the starting point of most research work is based on a specific working condition, which is essentially a single working condition optimization.…”

Section: Introductionmentioning

confidence: 99%

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Research on multi-condition and multi-objective control of pumped storage unit optimized by improved multi-objective particle swarm optimization algorithm

Jiang,

Xiu,

2024

J. Phys.: Conf. Ser.

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In order to maintain good control quality of the pumped storage unit regulation system during the switching of operating conditions, a multi-objective optimization framework based on improved multi-objective particle swarm optimization algorithm is proposed, which takes into account the control stability, rapidity and robustness under multiple working conditions. Firstly, the fractional order PID controller with higher applicability and flexibility is introduced to replace the traditional PID controller. Then, an objective function considering the ITAE index of low-head and medium-high-head conditions is constructed. On this basis, the multi-objective particle swarm optimization algorithm with pigeon swarm search operator, adaptive Cauchy mutation strategy and improved initialization method is used to optimize the controller parameters, and the multi-condition and multi-objective fractional order PID optimal control of pumped storage unit regulation system is realized. Through simulation, it is proved that the controller parameters based on the framework optimization proposed in this paper have strong adaptability and robustness under different working conditions, which provides a new idea for the optimal control of pumped storage unit regulation system.

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Section: Linear Decreasing Weight Updating Strategymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%