Hierarchical model-based predictive control of a power plant portfolio
نویسندگان
چکیده
منابع مشابه
Hierarchical model-based predictive control of a power plant portfolio
One of the main difficulties in large-scale implementation of renewable energy in exisiting power systems is that the production from renewable sources is difficult to predict and control. For this reason, fast and efficient control of controllable power producing units – so-called “portfolio control” – becomes increasingly important as the ratio of renewable energy in a power system grows. As ...
متن کاملConstrained Model Predictive Control of Low-power Industrial Gas Turbine
Nowadays, extensive research has been conducted for gas turbine engines control due to growing importance of gas turbine engines for different industries and the need to design a suitable control system for a gas turbine as the heart of the industry. In order to design gas turbine control system, various control variables can be used, but in the meantime, fuel flow inserting into combustion cha...
متن کاملMultivariable Model Predictive Control for a Gas Turbine Power Plant
In this brief, constrained multi variable model predictive control (MPC) strategy is investigated for a GE9001E gas turbine power plant. So the rotor speed and exhaust gas temperature are controlled manipulating the fuel command and compressor inlet guide vanes position. A nonlinear model is introduced using conventional mathematical models and ARX identification procedure as gas turbine plant ...
متن کاملA Multiobjective-Based Switching Topology for Hierarchical Model Predictive Control Applied to a Hydro-Power Valley
In a Hierarchical Model Predictive Control (H-MPC) framework, this paper explores suitable time-variant structures for the hierarchies of different local MPC controllers. The idea is to adapt to different operational conditions by changing the importance of the local controllers. This is done by defining the level of the hierarchy they belong to, and solving within each level the local MPC prob...
متن کاملAdaptive Neural Model-Based Predictive Control of A Solar Power Plant
This paper describes the application of a non-linear adaptive constrained model-based predictive control scheme to the distributed collector field of a solar power plant at the Plataforma Solar de Almería (Spain). This methodology exploits the intrinsic non-linear modelling capabilities of nonlinear state-space neural networks and their online training by means of an unscented Kalman filter. Te...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Control Engineering Practice
سال: 2011
ISSN: 0967-0661
DOI: 10.1016/j.conengprac.2011.06.002