A Wide-Area Continuous Time Model Predictive Control Scheme for Multi-Machine Power System
نویسندگان
چکیده
This paper presents a systematic procedure for designing a wide-area centralized Continuous Time Model Predictive Controller (CTMPC) to improve the angular stability of a multi-machine power system. In this scheme, each generator is assumed to be provided with a local controller to damp out the local mode of oscillations and also employs a global signal from the centralized controller to damp out the inter-area mode of oscillations. The proposed control scheme has been implemented on a two-area fourmachine power system. The performance of the controller has been compared with a coordinated Genetic Algorithm (GA)-tuned Conventional Power System Stabilizer (CPSS).
منابع مشابه
A New Class of Decentralized Interaction Estimators for Load Frequency Control in Multi-Area Power Systems
Load Frequency Control (LFC) has received considerable attention during last decades. This paper proposes a new method for designing decentralized interaction estimators for interconnected large-scale systems and utilizes it to multi-area power systems. For each local area, a local estimator is designed to estimate the interactions of this area using only the local output measurements. In fact,...
متن کاملModel Predictive Control of Distributed Energy Resources with Predictive Set-Points for Grid-Connected Operation
This paper proposes an MPC - based (model predictive control) scheme to control active and reactive powers of DERs (distributed energy resources) in a grid - connected mode (either through a bus with its associated loads as a PCC (point of common coupling) or an MG (micro - grid)). DER may be a DG (distributed generation) or an ESS (energy storage system). In the proposed scheme, the set - poin...
متن کاملPower injection of renewable energy sources using modified model predictive control
This paper presents a simple model predictive control (MPC) approach to control the power injection system (PIS) for renewable energy applications. A DC voltage source and a single-phase inverter that is connected to the grid by an LCL filter form the PIS. Grid voltage is considered a disturbance for the system. For eliminating this disturbance, a modified model is proposed. It is usual to ...
متن کاملPower injection of renewable energy sources using modified model predictive control
This paper presents a simple model predictive control (MPC) approach to control the power injection system (PIS) for renewable energy applications. A DC voltage source and a single-phase inverter that is connected to the grid by an LCL filter form the PIS. Grid voltage is considered a disturbance for the system. For eliminating this disturbance, a modified model is proposed. It is usual to ...
متن کاملStudies with a Generalized Neuron Based PSS on a Multi-Machine Power System
An artificial neural network can be used as an intelligent controller to control non-linear, dynamic system through learning. It can easily accommodate non-linearities and time dependencies. Most common multi-layer feed-forward neural networks have the drawbacks of large number of neurons and hidden layers required to deal with complex problems and require large training time. To overcome these...
متن کامل