Predictive current controllers based on finite control set-model predictive (FCS-MPC) have been extensively used in power converters. One of the clear advantages FCS-MPC is that several targets and constraints can be included a cost function simultaneously controlled. In order to establish importance one controlled target relation others, weighting factors are used. Once tuned, they remain unchanged. This paper presents neural network-based novel approach problem, which tuned online as merit...

Predictive control is generating considerable interest when it comes to implementing current strategies in power converters. Remarkable accuracy and fast dynamic response are its main characteristics. However, this technique computationally demanding compared classic schemes. This particularly true multilevel converters, where several variables of the system such as currents, switching frequency neutral-point voltage balancing, name a few, controlled simultaneously. An important issue reduce...

Encouraged by the considerable cost reduction, small-scale solar power deployment has become a reality during last decade. However, grid integration of photovoltaic (PV) systems still remains unresolved. High penetration Renewable Energy Sources (RESs) results in technical challenges for operators. To address this, Virtual Power Plants (VPPs) have been defined and developed to manage distributed energy resources with aim facilitating RESs. This paper introduces hybrid irradiance forecasting...

Ants in the tribe Cephalotini are exceptional that they maintain microorganisms their digestive tract. To understand what these mean to ants, we observed feeding habits of Cephalotes pusillus and atratus, finding nature feed on extrafloral nectars, homopteran secretions, bird droppings. Feeding antibiotic kanamycin colonies C. laboratory kills them. desiccate or starve rather than liquids which antibiotics gentamycin netilmycin have been added, but survive containing nystatin, penicillin,...

Regulatory changes in different countries regarding self-consumption and growing public concern about the environment are encouraging establishment of community microgrids. These microgrids integrate a large number small-scale distributed energy resources offers solution to enhance power system reliability resilience. This work proposes geographically-based split into clusters members that tend have similar consumption generation profiles, mimicking most typical layout cities. Assuming...

The rapid deployment of advanced nanogrids which has enabled utility customers to become energy suppliers, the so-called prosumers with power generation capabilities based on distributed resources, raised issues concerning cybersecurity. use internet things (IoT) as an enabling technology, along bidirectional flow demands a information between and utility, have paved way smarter more efficient nanogrids, hence name "advanced nanogrid". Despite many advantages this approach, it makes subject...

Solar energy penetration has been on the rise worldwide during past decade, attracting a growing interest in solar power forecasting over short time horizons. The increasing integration of these resources without accurate forecasts hinders grid operation and discourages use this renewable resource. To overcome problem, Virtual Power Plants (VPPs) provide solution to centralize management several installations minimize error. This paper introduces method efficiently produce intra-day...

Since the advent of microgrid (MG) concept, almost two decades ago, energy sector has evolved from a centralized operational approach to distributed generation paradigm challenged by increasing number resources (DERs) mainly based on renewable energy. This encouraged new business models and management strategies looking for balance between consumption, promoting an efficient utilization within MGs minimizing costs market participants. In this context, paper introduces strategy, which is...

This paper describes the hardware and software modules of a remote Internet-based laboratory for experimentation with 120-kVA multilevel power converter. The key feature this is utilization converter that can be controlled supervised remotely in secured way. A wide variety experiments are supported, from grid connection to AC motor control. Users choose control structure, parameters, kind load get graphical results measurements, all real time.

When used for concurrent hardware implementation, field-programmable gate arrays (FPGAs) allows the use of numerous operational units such as multipliers and adders in order to implement control systems. However, when short sampling periods are utilized, scheduling with resource constraints sharing aimed at reducing required resources can be necessary. This is especially true systems where period greater than computation time delay. The aim this paper present a methodology based on FPGA...

Bad data as a result of measurement errors in secondary substation (SS) monitoring equipment is difficult to detect and negatively affects power system state estimation performance by both increasing the computational burden jeopardizing accuracy. In this paper short-term load forecasting (STLF) hybrid strategy based on singular spectrum analysis (SSA) combination with artificial neural networks (ANN), presented. This STLF approach aimed at detecting, identifying eliminating and/or...

This paper describes a practical approach to the transformation of Base Transceiver Stations (BTSs) into scalable and controllable DC Microgrids in which an energy management system (EMS) is developed maximize economic benefit. The EMS strategy focuses on efficiently managing Battery Energy Storage System (BESS) along with photovoltaic (PV) generation, non-critical load-shedding. collects data such as real-time consumption environmental parameters temperature, wind speed irradiance, using...

Condition monitoring of high voltage power lines through self-powered sensor systems has become a priority for utilities with the aim detecting potential problems, enhancing reliability transmission and distribution networks mitigating adverse impact faults. Energy harvesting from magnetic field generated by alternating current flowing can supply required to operate without relying on hard-wiring or battery-based approaches. However, developing an energy harvester, which scavenges such...

In recent years, Secondary Substations (SSs) are being provided with equipment that allows their full management. This is particularly useful not only for monitoring and planning purposes but also detecting erroneous measurements, which could negatively affect the performance of SS. On other hand, load forecasting extremely important since they help electricity companies to make crucial decisions regarding purchasing generating electric power, switching, infrastructure development. this...

This paper presents a neural controller that learns goal-oriented obstacle-avoiding reaction strategies for multilink robot arm. It acquires these through reinforcement learning from local sensory data. The arm has rings of range sensors placed along its links. achieves good performance quite rapidly and shows generalization abilities in the face new environments. Suitable input output codification schemes help greatly to attain aims. exploits inherent symmetry kinematics action given by is...