Advanced Algorithms in Automatic Generation Control of Hydroelectric Power Plants

Yury V. Kazantsev, Gleb V. Glazyrin, Alexandra I. Khalyasmaa (), Sergey M. Shayk and Mihail A. Kuparev
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Yury V. Kazantsev: Power Plants Department, Novosibirsk State Technical University, Novosibirsk 630073, Russia
Gleb V. Glazyrin: Power Plants Department, Novosibirsk State Technical University, Novosibirsk 630073, Russia
Alexandra I. Khalyasmaa: Ural Power Engineering Institute, Ural Federal University Named after the First President of Russia B.N. Yeltsin, Ekaterinburg 620002, Russia
Sergey M. Shayk: Power Plants Department, Novosibirsk State Technical University, Novosibirsk 630073, Russia
Mihail A. Kuparev: Power Plants Department, Novosibirsk State Technical University, Novosibirsk 630073, Russia

Mathematics, 2022, vol. 10, issue 24, 1-18

Abstract: The problem of load distribution between hydraulic units at hydropower plants is a difficult task due to the nonlinearity of hydro turbine characteristics and individual peculiarities of the generation units, in which operating conditions are often different. It is necessary to apply the most up-to-date optimization methods that take into account the nonlinearity of the turbine characteristics. The methods must also consider strict constraints on the operation conditions of the power equipment when searching for the extremum of the objective function specified in the form of equalities and inequalities. When solving the aforementioned optimization problem, the constraints on computing capacities of the digital automatic generation control systems that must operate in real-time mode were taken into account. To solve the optimization task, the interior point method was analyzed and the method of Lagrange multipliers was modified so that it could minimize turbine discharge and active energy losses in the windings of the power generators and unit power transformers. The article presents the simulation results of the developed optimization algorithms and the results of the field tests of the automatic generation control system executing the proposed algorithms. All of the tests showed a fairly high efficiency of the proposed optimization methods in real operation conditions.

Keywords: hydraulic turbines; hydroelectric power plants; automatic generation control; water flow optimization; active and reactive power control; steady-state stability of hydroelectric generator (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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