New Design for the Spanish AGC Scheme Using an Adaptive Gain Controller

Olmos, Luis; Fuente, J.I. de la; Macho, Juan Luis Zamora; Pecharromán, Ramón Rodríguez; Calmarza, A.M.; Moreno, José de Jesús

doi:10.1109/tpwrs.2004.825873

Cited by 24 publications

(7 citation statements)

References 11 publications

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“…Adaptive tuning aims to automatize this process with minimal model knowledge. The adaptive controller used in [15] observes the Area Control Error (ACE) of all involved control areas to calculate a global gain correction factor. Mathematical optimization is performed in [4] using an event-triggered, adaptive dynamic programming approach, whereas [16] relies on sequential quadratic programming taking into consideration the governor limits.…”

Section: A Literature Reviewmentioning

confidence: 99%

Tuningless Load Frequency Control Through Active Engagement of Distributed Resources

Prostejovsky

Marinelli

Rezkalla

et al. 2018

IEEE Trans. Power Syst.

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Abstract-The increasing share of volatile and inverter-based energy sources render electric power grids increasingly susceptible to disturbances. Established Load Frequency Controls (LFCs) schemes are rigid and require careful tuning, making them unsuitable for dynamically changing environments. In this paper, we present a fast and tuningless frequency control approach that tackles these shortcomings by means of modern grid monitoring and communications infrastructures in a two-fold concurrent process. First, direct observation of supply and demand enables fast power balancing decoupled from the total system dynamics. Second, primary resources are actively involved in frequency restoration by systematic adjustment of their frequency reference setpoints. In contrast to the commonly used Automatic Generation Control (AGC), the proposed Direct Load Frequency Control (DLFC) does not require an integrator for frequency control in the closed loop even under partial grid observability. The approach is Lyapunov-stable for a wide range of system parameters, including ramping limits of controlled resources. A performance study against AGC has been conducted on a threearea power system in simulations as well as in a real laboratory grid with an installed generation capacity of 110 kW.

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Section: A Literature Reviewmentioning

confidence: 99%

Tuningless Load Frequency Control Through Active Engagement of Distributed Resources

Prostejovsky

Marinelli

Rezkalla

et al. 2018

IEEE Trans. Power Syst.

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“…i X is no more a vector but a matrix after iteration obtained from original equation 2 . The matrices in 3 have detailed expressions as follow: . …”

Section: The Local Distributed Model Predictive Controllermentioning

confidence: 99%

“…These imbalances have to be corrected by the AGC system. With this task, various AGC schemes have appeared during the past decades, e.g., the modern optimal control theory-based load frequency control (LFC) schemes [1], the fuzzy control [2], the adaptive and variable structure methods [3], the robust approach [5], and the distributed /decentralized control approach [6].…”

Section: Introductionmentioning

confidence: 99%

Distributed MPC strategy with application to AGC in the presence of variable speed wind turbine

Yan

Zhang

Liu

2015

2015 34th Chinese Control Conference (CCC)

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The paper addresses a new distributed model predictive control (MPC) algorithm for load-frequency control (LFC) of a four-area interconnected power system, which takes the effect of a wind turbine into account at the same time. The overall system is decomposed into four subsystems, where each control area has an independent MPC controller. These subsystem-based MPC controllers work cooperatively while satisfying systemwide optimal problems. Simulation results show that with the proposed distributed MPC technique, the overall system has good performance in face of load disturbance, while respecting generation rate constraints (GRC).

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“…In order to obtain better transient performance of the system various control strategies have been applied to the automatic generation control problem (Abdel-Magid et al 1995, El-Saady et al 2002, Karnavas 2006, Olmos et al 2004). The optimum response can only be achieved with proper tuning of various controller parameters subjected to minimization of different performances indices.…”

Section: Introductionmentioning

confidence: 99%

Control of AGC in Interconnected Power System with Diverse Sources of Power Generation

Moghadam¹,

Jalilzadeh²

2014

ujeee

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In this paper, automatic generation control (AGC) of two area interconnected power system having diverse sources of power generation is studied. A two area power system comprises power generations from hydro, thermal and gas sources in area-1 and power generations from hydro and thermal sources in area-2. All the power generation units from different sources are equipped with speed governors. A continuous time transfer function model of the system for studying dynamic response for small load disturbances is presented. A proportional-integral-derivative (PID) automatic generation control scheme is applied only to power generations from thermal and gas sources and power generation from hydro source is allowed to operate at its scheduled level with only speed governor control. The two area power system is simulated for different nominal loading conditions. Particle Swarm Optimization (PSO) is used to obtain the optimal PID gains for various cases using integral squared error plus integral time absolute error (ISE+ITAE) performance index for fitness evaluation. Some of the transient responses are shown for different nominal loading conditions due to step load disturbances in the system.

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New Design for the Spanish AGC Scheme Using an Adaptive Gain Controller

Cited by 24 publications

References 11 publications

Tuningless Load Frequency Control Through Active Engagement of Distributed Resources

Tuningless Load Frequency Control Through Active Engagement of Distributed Resources

Distributed MPC strategy with application to AGC in the presence of variable speed wind turbine

Control of AGC in Interconnected Power System with Diverse Sources of Power Generation

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