Pierluigi Siano

University of Salerno | UNISA · Department of Management & Innovation Systems

The smart grid is conceived of as an electric grid that can deliver electricity in a controlled, smart way from points of generation to active consumers. Demand response (DR), by promoting the interaction and responsiveness of the customers, may offer a broad range of potential benefits on system operation and expansion and on market efficiency. Mo...

With the expansion of smart meters, like the Advanced Metering Infrastructure (AMI), and the Internet of Things (IoT), each smart city is equipped with various kinds of electronic devices. Therefore, equipment and technologies enable us to be smarter and make various aspects of smart cities more accessible and applicable. The goal of the current pa...

The unpredictability and intermittency introduced by Renewable Energy Sources (RESs) in power systems may lead to unforeseen peaks of energy production, which might differ from energy demand. To manage these mismatches, a proper communication between prosumers (i.e., users with RESs that can either inject or absorb energy) and active users (i.e., u...

Local Energy Markets Developed IoT based Architecture for Demand Response Transactive Energy and Blockchain Potential Integration Developing Experimental Activities for Designing a Transactive Management Infrastructure Conclusions

The depletion of fossil fuel reserves and the urgent need to cut greenhouse gas emissions are driving a significant shift in the global energy sector. This transformation necessitates advanced energy management strategies in microgrids to integrate renewable energy sources efficiently. Traditional methods, including classical, metaheuristic, model...

The Local Multi-Carrier Energy Systems (LMCESs) offer a great opportunity for Distributed Energy Resources (DERs) development in the energy system. The high variability of DERs output and the energy demands of the LMCESs increase the flexibility requirements in the upstream power system. In this context, an incentive-based mechanism needs to be con...

A new nonlinear optimal control method is proposed for solving the problem of control and stabilization of the 6-DOF parallel Stewart robotic platform. This parallel robotic platform is proven to be differentially flat. The dynamic model of this robotic system undergoes first approximate linearization around a temporary operating point that is upda...

In this article a Kalman Filter-based disturbance observer is proposed for treating the fault detection and isolation problem of the VSC-HVDC transmission system. By proving differential flatness properties for the state-space model of the VSC-HVDC system which consists of an AC/DC converter-(rectifier), a high-voltage DC transmission line and a DC...

The transition from traditional distribution networks to smart grids is propelled by technological advancements, environmental imperatives, and innovative electricity management techniques. As distributed energy resources (DERs) go on to increase, there is a critical need for a reliable management model to optimize the efficiency of both renewable...

A main issue in the design of a stabilizing feedback controller for robotic mining excavators is the compensation of unknown forces which are exerted on the excavator's dipper when removing the soil. These forces may vary according to the condition of the soil while harsh operating conditions make difficult their direct measuring with the use of de...

Quantum state tomography (QST) is one of the key steps in determining the state of the quantum system, which is essential for understanding and controlling it. With statistical data from measurements and Positive Operator-Valued Measures (POVMs), the goal of QST is to find a density operator that best fits the measurement data. Several optimization...

Renewable energy communities (RECs) are considered a promising tool for putting the citizens at the center of the energy transition, while also promoting self-sufficiency coming from local resources and decarbonization through high penetration of renewables. A key challenge when operating RECs is represented by the number of decision variables to c...

Electric vehicles (EVs) have been gaining great popularity in recent years, but the lack of adequate infrastructure and the long battery charging time have hindered their further development. Therefore, a battery charging and swapping system (BCSS) can solve this problem by arranging battery charging and distributing the battery swapping system (BS...

Blending green hydrogen from renewable generations into the natural gas infrastructure can effectively mitigate carbon emissions of energy consumers. However, distributed hydrogen blending could lead to heterogeneous gas compositions across the network. The traditional nodal energy price scheme is designed for uniform gas composition, which cannot...

Improving the restoration efficiency of a distribution system is essential to enhance the ability of power systems to deal with extreme events. The distribution system restoration (DSR) depends on the interaction among the electric network (EN), cyber network (CN), and traffic network (TN). However, the coordination of these three networks and co-d...

Smart cities consist of various energy systems and services that must be optimally scheduled to improve energy efficiency and reduce operation costs. The smart city layout comprises a power distribution system, a thermal energy system, a water system, and the private and public transportation systems. Additionally, several new technologies such as...

The integration of Distributed Energy Resources (DERs) in power distribution networks poses challenges for protection systems due to dynamic bidirectional fault currents. This paper presents a novel wide-area protection scheme for modern Doubly Feed Induction Generator (DFIG)-integrated distribution networks that simplifies fault location and relay...

Many attempts have been taken to offer the consumer/user an exceptional service quality (SQ) due to this opportunity which is so profitable and expanding for both the researchers and financial investors. Some significant issues still need to be resolved given the current procedures and establishment of charging infrastructure for EV. In this chapte...

Triangular satellite constellations are created by three satellites which are linked through tethers. Such formations serve distributed observation space missions or the creation of high-density satellite communication networks over high-frequency bands. In a tethered multi-satellite system consisting of three-satellites in triangular formation the...

Mechatronic systems with nonlinear dynamics are met in motion transmission applications for vehicles and robots. In this article, the control problem for the nonlinear dynamics of mechatronic motion transmission systems is solved with the use of a flatness‐based control approach which is implemented in successive loops. The state‐space model of the...

The blocking function of power oscillation is a highly effective feature found in distance relays. Its purpose is to prevent unintentional tripping of transmission lines. It is crucial to accurately differentiate between faults and power oscillations in order to minimise the occurrence of widespread power outages and monetary losses. Therefore, the d...

The need for high power in electric vehicles has motivated the use of multi-phase electric motors in the associated traction systems. In this article, a nonlinear optimal control approach is developed for voltage-source inverter-fed six-phase Permanent Magnet Synchronous Motors which can be used in electric vehicles' traction. The dynamic model of...

PREPARED BY The Power and Energy Education Committee University Education Activities Subcommittee Task Force on Innovative Teaching Methods for Modern Power and Energy Systems PES-TR120 TR-120 — Innovative Teaching Methods for Modern Power and Energy Systems https://resourcecenter.ieee-pes.org/publications/technical-reports/pes_tp_tr120_peec_03...

The multivariable Lokta-Volterra dynamic model has been widely used to describe interacting and competing populations and has found applications in biology, ecology, agricultural production management and in economics. In this article a nonlinear optimal (H-infinity) control method is developed for the Lotka-Volterra system. First, differential fla...

This paper considers an active distribution network (ADN) that can benefit from price-responsive demands, inverter-based photovoltaic (PV) generating units, and battery energy storage systems (BESSs) to participate in the real-time energy market. However, a challenging issue arises due to the coupling of energy offerings in the market and Volt-Var...

Heat pumps can be used for thermal management of electric vehicles (EVs) in a low-cost and environmental friendly manner. Heat pumps can exploit the heat that is diffused by the vehicle’s batteries so as to perform temperature control of the passengers cabin. A heat pump-based thermal management system of EVs has the dual objective of (a) stabilizi...

"Flipped classroom" has subverted the traditional classroom teaching model and is believed to have a positive impact on knowledge acquisition and skill training for higher education students. The pre-class learning phase is considered a key factor in the success of flipped classrooms. However, currently, the pre-class learning phase of flipped clas...

This article aims to treat the nonlinear control problem for the complex dynamics of a wave energy unit (WEC) that consists of a Permanent Magnet Linear Synchronous Generator (PMLSG) and a Voltage Source Converter (VSC). The article has developed a globally stable nonlinear optimal control method for this wave power generation unit. The new method...

In this article, the feedback control and stabilization problem of dual PMLSM-driven H-type gantry cranes is treated with the use of a flatness-based control method which is implemented in successive loops. Dual-drive gantry cranes can achieve high torque and high precision in the tasks’ execution. Such a type of crane can be used in several indust...

Purpose The purpose of this article is to treat the nonlinear optimal control problem in EV traction systems which are based on 5-phase induction motors. Five-phase permanent magnet synchronous motors and five-phase asynchronous induction motors (IMs) are among the types of multiphase motors one can consider for the traction system of electric vehi...

This paper proposes optimized integral sliding mode approach as a load frequency control (LFC) for an isolated power system. The system integrates multiple sources including conventional generators, renewable energy sources (RESs), and energy reserves to supply power demand. This system experiences random and nonrandom disturbances as a result of u...

The modern era power system is constantly undergoing constructive changes and implementations both in source and load side. Certainly, the distributed generators, unconventional/nonlinear loads, charging stations etc are mostly integrated through power electronics interfaces. As a result, frequent power quality disturbances appear in the system tha...

The primary and fundamental requirement for a fuel cell (FC) stack is its reliable operation under various operating conditions. When FC stacks are used as the input voltage source with high ripple currents, the overall lifespan of the FC system decreases. Hence, power converter configurations need to minimize the current ripples originating from t...

Nowadays, wind energy is one of the cleanest and most economically affordable generating sources and there is an increasing trend towards doubly fed induction generator (DFIG)-based wind farms integrated with power grids through unified power flow controller (UPFC) devices for extracting large amounts of electrical power. The conventional protectiv...

The increasing penetration of electric vehicles (EVs) in distribution systems requires efficient charging load management techniques for delivering high-quality power to consumers. In this paper, we proposed a strategic planning approach for distribution systems integrated with EV charging stations, employing fuzzy Pareto optimality to enhance syst...

This paper investigates a particle filter (PF)-based fully-decentralised dynamic state estimation (DSE) method for interconnected multi-machine power systems. The PF-based observer is developed to dynamically estimate the states of the 7th-order dynamic model of synchronous machines that are either inaccessible and/or highly noisy. It is assumed th...

This paper proposes a recurrent neural network based model to segment and classify multiple combined multiple power quality disturbances (PQDs) from the PQD voltage signal. A modified bi‐directional long short‐term memory (BI‐LSTM) model with two different types of attention mechanisms is developed. Firstly, an attention gate is added to the basic...

Multi-phase electric motors and in particular nine-phase permanent magnet synchronous motors (9-phase PMSMs) find use in electric actuation, traction and propulsion systems. They exhibit advantages comparing to three-phase motors because of achieving high power and torque rates under moderate variations of voltage and currents in their phases, whil...

In this article, the control problem for the induction-motor driven reverse osmosis in desalination units is solved with the use of (i) a nonlinear optimal control method (ii) a flatness-based control approach which is implemented in successive loops. To apply method (i) that is nonlinear optimal control, the dynamic model of the induction-motor dr...

p>This study presents a deep learning-assisted operation model for interconnected autonomous networks based on state logic to address dynamic local and global objectives simultaneously. The interconnected independent power systems depend on each other through common power pool sharing to maintain a reliable power delivery to the end users. The usua...

p>This study presents a deep learning-assisted operation model for interconnected autonomous networks based on state logic to address dynamic local and global objectives simultaneously. The interconnected independent power systems depend on each other through common power pool sharing to maintain a reliable power delivery to the end users. The usua...

In this paper, a new method to address the scheduling problem of a renewable energy community while considering network constraints and users' privacy preservation is proposed. The method decouples the optimization solution into two interacting procedures: conic projection (CP) and linear programming (LP) optimization. A new optimal CP method is pr...

The carbon capture and storage (CCS) technique gains much attention due to its role in reducing CO2 emissions. By introducing flexible CCS devices into conventional power plants, the low‐carbon economic operation of the power system can be achieved. However, the uncertainty of renewable energy makes it hard to obtain an optimal operation policy. Fi...

Purpose Permanent magnet synchronous spherical motors can have wide use in robotics and industrial automation. They enable three-DOF omnidirectional motion of their rotor. They are suitable for several applications, such as actuation in robotics, traction in electric vehicles and use in several automation systems. Unlike conventional synchronous mo...