The Influence of Cooperation on the Operation of an MPC Controller Pair in a Nuclear Power Plant Turbine Generator Set

Article Energy & Fuels

Numbers, Please: Power- and Voltage-Related Indices in Control of a Turbine-Generator Set

Pawel Sokolski et al.

Summary: This paper discusses the selection and interpretation of aggregated control performance indices values that reflect the quality of electrical energy generation by a turbine-generator system cooperating with a power system. The paper proposes aggregated indices based on the sum of weighted integral indices, which are verified and built upon well-known control theory indices. Simulation tests demonstrate their effectiveness in assessing generated electricity and their applicability to various control strategies.

ENERGIES (2022)

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Article Energy & Fuels

Initialisation of Optimisation Solvers for Nonlinear Model Predictive Control: Classical vs. Hybrid Methods

Maciej Lawrynczuk et al.

Summary: This study discusses twelve initialization strategies for nonlinear model predictive control (MPC) algorithms. Two strategies, namely the hybrid strategy with an auxiliary MPC controller based on a successively linearized model and the method which uses the optimal solution obtained at the previous sampling instant, are found to be the fastest and most robust. The hybrid strategies perform better than the approximation-based ones with complex neural networks due to the negative feedback mechanism in the auxiliary controller.

ENERGIES (2022)

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Article Energy & Fuels

Power System Stabilizer as a Part of a Generator MPC Adaptive Predictive Control System

Pawel Sokolski et al.

Summary: This paper proposes a model predictive controller based on a generator model to replace traditional generator control systems and stabilizers. The controller utilizes black-box model parameters and real-time estimation mechanism to adapt to the system's operating point and automatically adjust signal levels to accommodate changes in the plant.

ENERGIES (2021)

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Review Mathematics

Review of Metaheuristics Inspired from the Animal Kingdom

Elena Niculina Dragoi et al.

Summary: The study reviewed animal-inspired metaheuristic algorithms proposed from 2006 to 2021, finding that the majority of algorithms are inspired by vertebrates, with commonly used diversity mechanisms falling into the niche category.

MATHEMATICS (2021)

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Article Computer Science, Information Systems

Impact of MPC Embedded Performance Index on Control Quality

Pawel D. Domanski et al.

Summary: Model Predictive Control (MPC) is an advanced process control technology with many successful implementations in the process industry. However, statistical analysis shows that the quadratic MPC performance index has drawbacks, such as sensitivity to outliers, while using linear l(1) weight can improve control performance. Classical l(2) norm and robust Cauchy and Dynamic Covariance Scaling formulations provide worse results.

IEEE ACCESS (2021)

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Article Automation & Control Systems