This research proposes an improved finite control set direct power model predictive method (FCS-DPMPC) for grid-tie distributed generation (DG). FCS-DPMPC predicts the system outcomes using model. During next sampling time, a voltage vector is defined cost function to minimize ripple, consequently allowing flexibility regulation. Furthermore, impact of implementing one-step delay studied and co...

this paper proposes an optimal power flow (opf) algorithm by direct load control (dlc) programs to optimize the operational cost of smart grids considering various scenarios based on different constraints. the cost function includes active power production cost of available power sources and a novel flexible load curtailment cost associated with dlc programs. the load curtailment cost is based ...

Model Predictive Control (MPC) and Direct Power (DPC) are widely used in Doubly Fed Induction Generator (DFIG) applications. However, the context of DPC-based MPC for DFIG, there has been a lack literature focusing on design parameters. In this way, article introduces novel technique designing weighing matrices using Fake Algebraic Riccati Equation (FARE). As FARE is associated with infinite re...

This paper proposes the virtual flux based direct power control for Vienna rectifier. No need for the input voltage sensors, the current regulation loop and PWM voltage modulation block along with the active and reactive power decoupling are some of the salient advantages of this method that make it suitable for controlling the conventional active rectifiers. However, due to the three-level nat...

Brushless DC (BLDC) motors are used in a wide range of applications due to their high efficiency and high power density. In this paper, sensorless four-switch direct power control (DPC) method with the sector to sector commutations ripple minimization for BLDC motor control is proposed. The main features of the proposed DPC method are: (1) fast dynamic response (2) easy implementation (3) use o...

This paper presents a Model Predictive Direct Power Control (MPDPC) strategy for a gridconnected inverter used in a photovoltaic system, as found in many distributed generating installations. The controller uses a system model to predict the system behavior at each sampling instant. Using a cost function, the voltage vector with least power ripple is generated. The resultant voltage vector is a...

Model predictive direct power control (MPDPC) strategy offers numerous benefits over the traditional strategies in active filters (APF). However, real-time execution duration (RTED) reduction of model multilevel inverters is a big challenge. In this paper, an improved low-computation for three-level four-leg APF (TL-FL-APF) presented. First, based on generalized instantaneous reactive theory, n...

Brushless doubly fed reluctance generator (BDFRG) has been recently suggested as a wind generator. Different control methods are presented in literature for the BDFRG, but there is a gap on control under unbalanced grid voltage condition (UGVC). This paper presents a predictive direct power control (PDPC) method for the BDFRG under UGVC. The proposed PDPC method is based on power compensation s...