A multi-task automatic generation control for power regulation

Iracleous, D.P.; Alexandridis, Antonio T.

doi:10.1016/j.epsr.2004.06.011

Cited by 41 publications

(15 citation statements)

References 10 publications

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“…In order to overcome the drawbacks of the ASL local controllers proposed in [18], the dynamic model of ASL loads is first introduced in this paper based on the field experiment data. We also improve the dynamic model proposed in [19] to consider demand-side participation by aluminum smelter loads. The improved dynamic model is suitable for frequency control study in the isolated system.…”

Section: Discussionmentioning

confidence: 99%

“…The incremental angle of the first generator is treated as the reference angle. Therefore, we can get the following equation by deleting the variable and the column in corresponding to generator 1 [19]:…”

Section: State Space Model Of the Isolated System With Demand-sidementioning

confidence: 99%

“…To the best of the authors' knowledge, this is the first published model mentioning real-world dynamics of aluminum smelter loads. 2) Based on the dynamic model of ASL and the frequency control model considering individual generator and network topology proposed in [19], the state variables of ASLs are added to formulate a dynamic model of the isolated system with demand-side participation. This detailed model can consider the dynamics and constraints of each individual generator in the isolated system.…”

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confidence: 99%

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MPC-Based Frequency Control With Demand-Side Participation: A Case Study in an Isolated Wind-Aluminum Power System

Jiang

Lin

Song

et al. 2015

IEEE Trans. Power Syst.

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Aluminum production relies on the smelting process which consumes huge amounts of electrical energy. One possible solution to reduce the fossil fuel consumption by aluminum production is the integration of wind power. Based on this background, this paper studies an isolated power system for aluminum smelting production with a high penetration of wind power. A dynamic model of the aluminum smelter load (ASL) is introduced in this paper using the field experiment data. Based on this model, the dynamic model of the isolated system considering demand side participation is proposed. The MPC-based frequency controller is proposed to keep the frequency deviation within a proper range ( 0.1 Hz) under wind power fluctuation as well as to recover the system frequency after a large disturbance (such as one generator trip). Finally, simulation results demonstrate the effectiveness of the proposed MPC based frequency controller.Index Terms-Aluminum smelter loads (ASLs), frequency control, isolated power system, model predictive control (MPC), wind power.

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Section: Discussionmentioning

confidence: 99%

Section: State Space Model Of the Isolated System With Demand-sidementioning

confidence: 99%

mentioning

confidence: 99%

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MPC-Based Frequency Control With Demand-Side Participation: A Case Study in an Isolated Wind-Aluminum Power System

Jiang

Lin

Song

et al. 2015

IEEE Trans. Power Syst.

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“…Since identification procedure presented in [41] can only be used for CAs that have only one power plant engaged in LFC, it AUTOMATIKA 51(2010) 1, [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18] can not be used here because LFC in CA1 from Fig. 2 is conducted using three HPPs.…”

Section: Substitute Linear Power System Modelmentioning

confidence: 99%

“…Besides, many different nonlinearities are present in the model. Nowadays, proportional-integral (PI) algorithms with constant parameters are mostly used in real power systems [14][15][16][17]. The reasons to replace them with some advanced control algorithm are the following: 1) systems with PI control have long settling time and relatively large overshoots in frequency's transient responses [18]; 2) PI control algorithm provides required behavior only in the vicinity of the nominal operating point for which it is designed; 3) future power systems will rely on large amounts of distributed generation with large percentage of renewable energy based sources and that will further increase system uncertainties [19]; 4) the shortening of time periods in which each level of frequency regulation must be finished is also expected in the future [20].…”

Section: Introductionmentioning

confidence: 99%

Applying Optimal Sliding Mode Based Load-Frequency Control in Power Systems with Controllable Hydro Power Plants

Vrdoljak¹,

Perić

Petrović

2010

Automatika

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In this paper an optimal load-frequency controller for a nonlinear power system is proposed. The mathematical model of the power system consists of one area with several power plants, a few concentrated loads and a transmission network, along with simplified models of the neighbouring areas. Firstly, a substitute linear model is derived, with its parameters being identified from the responses of the nonlinear model. That model is used for load-frequency control (LFC) algorithm synthesis, which is based on discrete-time sliding mode control. Due to a non-minimum phase behaviour of hydro power plants, full-state feedback sliding mode controller must be used. Therefore, an estimation method based on fast output sampling is proposed for estimating the unmeasured system states and disturbances. Finally, the controller parameters are optimized using a genetic algorithm. Simulation results show that the proposed control algorithm with the proposed estimation technique can be used for LFC in a nonlinear power system. Key words: Fast output sampling, Genetic algorithm, Identification, Load-frequency control, Power system model, Sliding mode control Primjena optimalnog kliznog režima upravljanja u sekundarnoj regulaciji frekvencije i djelatne snage razmjene regulacijskim hidroelektranama. U radu se predlaže optimalna regulacija frekvencije i djelatne snage razmjene za nelinearni elektroenergetski sustav. Unutar matematičkog modela sustava jedno se regulacijsko područje sastoji od nekoliko elektrana, manjeg broja koncentriranih trošila i prijenosne mreže. Ostala su regulacijska područja u modelu modelirana pojednostavljeno, nadomjesnim linearnim modelom sustavačiji su parametri dobiveni identifikacijom iz odziva nelinearnog sustava. Taj je linearni model zatim primijenjen u sintezi algoritma sekundarne regulacije koji je zasnovan na kliznom režimu upravljanja. Zbog neminimalno-faznog vladanja hidroelektrana primijenjena je struktura regulatora zasnovana na svim varijablama stanja sustava. Estimacija nemjerljivih stanja i poremećaja zasnovana je na metodi brzog uzorkovanja izlaznih signala sustava. Optimizacija parametara regulatora provedena je korištenjem genetičkog algoritma. Simulacijski rezultati pokazuju kako je predloženi upravljački algoritam, uz predloženu metodu estimacije, moguće koristiti za sekundarnu regulaciju frekvencije i djelatne snage razmjene u nelinearnom elektroenergetskom sustavu.Ključne riječi: brzo uzorkovanje izlaznog signala, genetički algoritam, identifikacija, sekundarna regulacija frekvencije i djelatne snage razmjene, model elektroenergetskog sustava, klizni režim upravljanja

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Adaptive dynamic programming for decentralized neuro‐control of nonlinear systems subject to mismatched interconnections

Tang

Hong

Dong

2022

Optim Control Appl Methods

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This article presents a decentralized neuro‐control scheme for a class of continuous‐time nonlinear systems with mismatched interconnections through an optimal control method. The decentralized control problem of the studied nonlinear‐interconnected systems is transformed into a group of optimal control problems of auxiliary subsystems. First, the value functions of auxiliary subsystems are designed, which are related to the boundaries of interconnected terms. It is proved that, under certain conditions, the decentralized control consisting of optimal control policies of auxiliary subsystems can stabilize the entire interconnected system. Then, an adaptive dynamic programming algorithm is presented to solve the Hamilton–Jacobi–Bellman equations. Critic neural networks (NNs) are employed to approximate the value functions of auxiliary subsystems in order to acquire the optimal control policies. Moreover, the auxiliary subsystems' states and the critic NNs' weight estimation errors are proved to be uniformly ultimately bounded. Finally, a numerical example and an interconnected power system are provided to validate the proposed decentralized neuro‐control strategy.

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A multi-task automatic generation control for power regulation

Cited by 41 publications

References 10 publications

MPC-Based Frequency Control With Demand-Side Participation: A Case Study in an Isolated Wind-Aluminum Power System

MPC-Based Frequency Control With Demand-Side Participation: A Case Study in an Isolated Wind-Aluminum Power System

Applying Optimal Sliding Mode Based Load-Frequency Control in Power Systems with Controllable Hydro Power Plants

Adaptive dynamic programming for decentralized neuro‐control of nonlinear systems subject to mismatched interconnections

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