Renewable energy sources continues to gain popularity. However, two major limitations exist that prevent widespread adoption: availability of the electricity generated and cost equipment. Distributed generation, (DG) grid-tied photovoltaic-wind hybrid systems with centralized battery back-up, can help mitigate variability renewable resource. The downside, however, is equipment needed create such a system. Thus, optimization generation storage in light capital mitigation imperative financial...

In a dc distribution system, where multiple power sources supply common bus, current sharing is an important issue. When renewable energy resources are considered, such as photovoltaic (PV), dc/dc converters needed to decouple the source voltage, which can vary due operating conditions and maximum point tracking (MPPT), from bus voltage. Since different may have delivery capacities that with time, coordination of interface paramount importance ensure reliable system operation. Further, since...

Inverter-based distributed generation (DG) system is becoming an attractive solution for high penetration of renewable energy sources to the main grid. DG should be able supply power local loads whenever necessary even in case utility outage. Thus, inverters systems are expected operate both grid-connected and islanded mode, where they acting as a current source ac grid voltage-source load, respectively. Transition between modes operation nontrivial can cause deviations voltage current,...

Variability in the solar irradiance level and ambient temperature of photovoltaic (PV) systems necessitates use maximum power point tracking (MPPT) PV to ensure continuous harvesting power. This paper presents a sensorless current (SC) MPPT algorithm using model predictive control (MPC). The main contribution this is model-based principle eliminate sensor that usually required for well-known techniques such as perturb observe (P&O). By predicting system states horizon time, proposed method...

With the ever-increasing number of blackouts in distribution systems arising from a variety natural and manmade disasters, frequent necessary isolation/reconnection loads without power deviations/fluctuations has become an important issue. Grid microgrids (MG)s is promising solution towards highly resilient efficient grid operation. To facilitate this implementation, seamless transition with utility key feature today's MG control needs to possess. This ability great prominence, especially...

This paper presents an autotuning technique for the online selection of cost function weight factors in model predictive control (MPC). The with multiple objectives directly affect performance and robustness MPC. proposed method this determines optimum each sampling time; optimization is done based on prediction absolute tracking error corresponding constraints. eliminates need trial-and-error approach to determine a fixed factor function. application considered capacitor-less static...

The energy paradigm is making the modern power grid more difficult to study, design, and control. Precisely speaking, pace of new involves high penetration electronics systems in grid, which becomes a challenge from stability, vulnerability, power-quality points views. Therefore, various literature have focused on defining as electronics-dominated (PEDG).

In this article, an operational framework is proposed for peer-to-peer (P2P) energy trading between a group of electric vehicles (EVs) within charging station and business entity equipped with solar generation that will significantly improve the benefit all parties compared to having sole agreements utility. A dynamic pricing mechanism EVs developed based on price stored not only increases owners' profit but also promotes contribution stations in P2P markets. To evaluate framework,...

This study presents a high‐efficient maximum power point tracking (MPPT) of photovoltaic (PV) systems by means model‐predictive control (MPC) techniques that is applied to high‐gain DC–DC converter. The high variability and stochastic nature solar energy requires the MPPT continuously adjust converter operating in order track changing point; concept well known literature. main contribution this model‐predictive‐based controller with fixed step combined traditional incremental conductance...

Mobile platforms cover a broad range of applications from small portable electric devices, drones, and robots to transportation, which influence the quality modern life. The end-to-end energy systems these are moving toward more electrification. Despite their wide power ratings diverse applications, electrification shares several technical requirements. Electrified mobile have minimal or no access grid, thus, achieve long operating time, ultrafast charging during motion as well advanced...

The hierarchical control structure was introduced to allow the integration of power electronics based distributed generation into microgrid in a smart and flexible manner. main aim primary controller such is achieve accurate active reactive sharing whereas secondary aims ensure voltage frequency (V/f) stability. Generally, converter level controllers utilize classical nested loop that suffer from slow dynamic response cumbersome parameters tuning. existing model estimation are fast, but...

This paper presents a frequency restoration method to enhance power electronic dominated grid (PEDG) resiliency and transient response via re-defining following inverters (GFLIs) role at the grid-edge. An artificial intelligence-based reference correction (AI-PRC) module is developed for GFLIs autonomously adjust their setpoints during disturbances. A detailed analytical validation provided that shows control rules in PEDG intrinsically follow underlying dynamic of swing-based machines...

This paper presents the concept of a capacitorless static synchronous compensator (STATCOM) that uses matrix converter (MC) and model predictive control (MPC) to compensate lagging power factor (p.f.) loads using inductors instead electrolytic capacitors (e-caps) for energy storage. Although ubiquitous in electronic converters, e-caps have well-known failure modes wear-out mechanisms. In practice, bus voltage-sourced inverter reactive may require monitoring replacement, which can increase...

This paper proposes a predictive power control algorithm that decouples active and reactive for grid integration of photovoltaic (PV) systems using quasi-Z-source inverter. is important to meet the emerging smart inverter requirements interconnection. The proposed controller uses model framework ensure maximum available harvested from PV array injected into controlled compensate required by local loads as need stable operation at point common coupling. Thus, electronics interface integrate...

Real-time anomaly detection system (ADS) and classification (ACS) techniques are becoming a crucial need for future power electronic dominated grid (PEDG). Artificial intelligence such as recurrent neural networks, specifically long short-term memory (LSTM) provide promising solution to detect anomalies in grids. The main challenge is the implementation of these methods real-time preventing catastrophic failure PEDG. This article addressing proposed approach based on integration model...

This paper proposes an autonomous control scheme to mitigate voltage-frequency excursions observed in a network of grid forming (GFM) and following (GFL) inverters power electronics dominated (PEDG). The proposed leverages GFL inverter's ability dynamically adjust their set-points as well change operation mode on-the-fly enhance the PEDG resiliency. A supervisory controller (SC) comprising Droop-ΔP estimator coupled with optimal allocator (OPA) module adjusts injections from maintain balance...

This paper presents an enhanced Maximum Power Point Tracking (MPPT) of Photovoltaic (PV) systems by means Model Predictive Control (MPC) techniques. The PV array can feed power to the load through a DC/DC converter boosting output voltage. Due stochastic behavior solar energy, MPPT control technique arrays is required operate at maximum point. Extracting from has been widely investigated within literature. main contribution this enhancement Incremental Conductance (INC) method fixed step...

This article presents a model predictive self-healing control (MPSC) scheme for battery system interfaced dual active bridge (DAB) converter in navy ship power (NSPS) with pulsed loads (PPLs). The voltage and frequency of NSPS are vulnerable to PPLs energization. A properly controlled fast dynamic response can mitigate this vulnerability. Model (MPC) is potential solution the DAB achieve disturbances imposed by PPLs. However, conventional MPC framework suffers from current prediction error...

Low-inertia power generation units make nanogrids vulnerable to the voltage and fluctuations caused by pulse loads abnormal grid conditions. The conversion of critical smart is a potential solution for improving stability quality in nanogrids. This paper investigates effects utilizing on performance A load can compensate sudden deviations between supply demand therefore mitigate oscillations low-inertia reduce stress energy storage minimize required battery banks In this paper, several case...

In a more electric aircraft (MEA) design, the onboard generators are mechanically coupled directly to jet engines, thus producing variable-frequency constant magnitude voltage. This wild-frequency characteristic imposes new design challenge on power converters. this article, an experimental performance comparison between model predictive and proportional-integral (PI)-based control schemes for active rectifiers in MEA applications is presented. The of aforementioned controllers executed...

This article presents an autonomous model predictive controlled smart photovoltaic (PV) inverter with proactive grid fault-ride through capability. The proposed control features decoupled active and reactive power. It can seamlessly switch between the anticipated modes of operation based on condition or operator command. autonomously adjusts its power set-points according to condition, it operates in maximum point tracking (MPPT) low voltage ride (LVRT) normal faulty modes, respectively....

Due to the variable, stochastic behavior of solar energy resource, Maximum Power Point Tracking (MPPT) photovoltaic (PV) is required ensure continuous operation at maximum power point generate most electrical energy. This paper presents a Model Predictive Control (MPC) MPPT technique. Extracting from PV systems has been widely investigated within literature; main contribution this improvement Perturb and Observe (P&O) method through fixed step predictive control under measured fast radiation...

This paper presents a maximum power point tracking (MPPT) technique using model predictive control (MPC) for single phase grid connected photovoltaic (PV) systems. The exhibits fast convergence, which is ideal rapidly varying environmental conditions such as changing temperature or insolation changes in morphology of the PV array itself. system tracked by high gain DCDC converter and feeds to through seven-level inverter. Considering stochastic behavior solar energy resources low conversion...