Pierluigi Siano

Università degli Studi di 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 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...

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...

Controlling an active distribution network (ADN) from a single PCC has been advantageous for improving the performance of coordinated Intermittent RESs (IRESs). Recent studies have proposed a constant PQ regulation approach at the PCC of ADNs using coordination of non-MPPT based DGs. However, due to the intermittent nature of DGs coupled with PCC t...

Distributed renewable energy systems are now widely installed in many buildings, transforming the buildings into 'electricity prosumers'. Additionally, managing shared energy usage and trade in smart buildings continues to be a significant difficulty. The main goal of solving such problems is to flatten the aggregate power consumption-generation cu...

Regional photovoltaic (PV) power prediction plays an important role in power system planning and operation. To effectively improve the performance of prediction intervals (PIs) for very short-term regional PV outputs, an efficient nonparametric probabilistic prediction method based on granulebased clustering (GC) and direct optimization programming...

This book covers smart grid applications of various big data analytics, artificial intelligence, and machine learning technologies for demand prediction, decision-making processes, policy, and energy management. It delves into the new technologies such as the Internet of Things, blockchain, etc. for smart home solutions, and smart city solutions in...

The progressive shift towards green energy and the implementation of policies for limiting power generation that causes harmful gas emissions has fostered the development of hybrid microgrids that consist of renewable energy sources of both the AC and the DC type. To make such microgrids exploitable the related control, stabilization and synchroniz...

The use of voltage-source inverter-fed induction (asynchronous) motors is widely met in industry (for instance for actuation in tasks that require high torque and power as well as in transportation systems (for the traction of trains and electric vehicles). In this chapter a nonlinear optimal control method is proposed for voltage source inverter-f...

With the ever-growing frequency of natural catastrophe occurrences such as hurricanes, floods, earthquakes, etc., the idea of resilient microgrids (MGs) has attracted more attention than before. Providing the opportunity for a multi-carrier energy supply after a natural catastrophe can lessen power losses and improve power resiliency and reliabilit...

The article proposes a nonlinear optimal control method for a gas centrifugal compressor actuated by a five-phase induction motor. To achieve high-torque and power in gas compressors, five-phase induction motors appear to be advantageous comparing to three-phase synchronous or asynchronous electric machines. The dynamic model of the integrated comp...

On behalf of all conference committees, we are delighted to invite our fellow colleagues to join us at the FES conference which will be held in Vaasa, Finland, 12-14 June 2023. FES2023 is a golden opportunity to hear new research, ideas and initiatives; as well as interact with key decision leaders in the energy-related fields. Delegates make prese...

The control problem for the nonlinear dynamics of Voltage Source Inverter-fed asynchronous motors is solved with the use of a flatness-based control approach which is implemented in successive loops. The state-space model of these systems is separated into a series of subsystems, which are connected between them in cascading loops. Each one of thes...

Purpose Voltage source inverter-fed permanent magnet synchronous motors (VSI-PMSMs) are widely used in industrial actuation and mechatronic systems in water pumping stations, as well as in the traction of transportation systems (such as electric vehicles and electric trains or ships with electric propulsion). The dynamic model of VSI-PMSMs is multi...

Green hydrogen can be produced by consuming surplus renewable generations. It can be injected into the natural gas networks, accelerating the decarbonization of energy systems. However, with the fluctuation of renewable energies, the gas composition in the gas network may change dramatically as the hydrogen injection fluctuates. The gas interchange...

Generator rotor angle oscillations can be caused by sudden changes in its mechanical power input or its electrical power output. When dampening or synchronizing torque is inadequate, rotor angle instability occurs, resulting in an increase in rotor angle, loss of synchronism, or oscillatory swings of the rotor angle with increasing amplitude. To th...

Shipboard microgrids (SBMGs) are becoming increasingly popular in the power industry due to their potential for reducing fossil-fuel usage and increasing power production. However, operating SBMGs poses significant challenges due to operational and environmental constraints. To address these challenges, intelligent control, management, and protecti...

Power quality issues are required to be addressed properly in forthcoming era of smart meters, smart grids and increase in renewable energy integration. In this paper, deep auto-encoder (DAE) networks is proposed for power quality disturbance (PQD) classification and its location detection without using complex signal processing techniques and comp...

The article aims at optimizing six-phase induction generator-based renewable energy systems (6-phase IGs or dual star induction generators) through a novel nonlinear optimal control method. Six-phase induction generators appear to be advantageous compared to three-phase synchronous or asynchronous power generators, in terms of fault tolerance and i...

The control problem of the rotary double inverted pendulum (double Furuta pendulum) is nontrivial because of underactuation and strong nonlinearities in the associated state-space model. The system has three degrees of freedom (one actuated and two unactuated joints) while receiving only one control input. In this article, a novel nonlinear optimal...

The article proposes a flatness-based disturbance observer for condition monitoring of the integrated power generation system, which comprises a marine turbine and a synchronous generator. It is proven that this power generation system is differentially flat, thus it can be transformed into an input–output linearized form and into the canonical Bru...

The article proposes a nonlinear optimal control approach for the dynamic model of a gas centrifugal compressor being driven by an induction motor (IM). The dynamic model of the integrated compressor-induction motor system, being initially expressed in a nonlinear and multivariable state-space form, undergoes approximate linearization around a temp...

In this paper, a decentralized load frequency control (LFC) is proposed for the frequency regulation of multi-area power systems applying optimized integral sliding mode control (OISMC) scheme. A modified particle swarm optimization (MPSO) algorithm is utilised to optimize the control variables of the proposed controller for improving the performan...

Using renewable energy sources (RES) and green hydrogen has increased dramatically as one of the best solutions to global environmental issues. Applying demand response programs (DRPs) in this context could enhance the system’s efficiency. Evaluating different DRPs’ performances and assessing economic impacts on different parts of the electricity m...

This paper proposes a recurrent neural network (RNN) 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 mechanism is developed. Firstly, an attention gate is added to the b...

From the perspective of propagation dynamics in complex networks, failure propagation in cyber-physical power systems is analogous to the spread of diseases; subsequently, the cyber nodes and power nodes are regarded as individuals in each of their groups. In this study, a two-layer interdependent network model of the cyber-physical power system is...

This letter proposes a new robust data-driven sparse voltage sensitivity estimation approach for large-scale distribution systems with PVs. It has a high statistical efficiency to mitigate the impacts of PV stochasticity and unknown measurement noise under various system operating conditions. A new adaptively-weighted l <sub xmlns:mml="http://www...

The sorting problem in the Multi-criteria Decision Analysis (MCDA) has been used to address issues whose solutions involve the allocation of alternatives in classes. Traditional multi-criteria methods are commonly used for this task, such as ELECTRE TRI, AHP-Sort, UTADIS, PROMETHEE, GAYA, etc. While using these approaches to perform the sorting pro...

In a physical microgrid system, equipment failures, manual misbehavior of equipment, and power quality can be affected by intentional cyberattacks, made more dangerous by the widespread use of established communication networks via sensors. This paper comprehensively reviews smart grid challenges on cyber-physical and cyber security systems, standa...

The insertion of renewable sources to diversify the energy matrix is one of the alternatives for the energy transition. In this sense, Brazil is one of the largest producers of renewable energy in the world, mainly in wind generation. However, the impact of integrating intermittent sources into the system depends on their penetration level, causing...

The fault detection method (FDM) plays a crucial role in controlling and operating microgrids (MGs), because it allows for systems to rapidly isolate and restore faults. Due to the fact that MGs use inverter-interfaced distributed production, conventional FDMs are no longer appropriate because they are dependent on substantial fault currents. This...

Smart grid integrates computer, communication, and sensing technologies into existing power grid networks to achieve significant informatization-related advantages. It will provide communication between neighbors, localized management, bidirectional power transfer, and effective demand response. Smart grids (SG) replace conventional grids by integr...

A shared pool of grid-scale storage resources called Cloud Energy Storage (CES) can bring substantial benefits to the economical and reliable operation of MGs. However, the investment cost of CES may not be affordable for a single microgrid (MG). As a solution, we propose an approach in which neighboring microgrids in a distribution network collabo...

Thermal power generation is the main source of carbon emissions. Adopting low-carbon dispatching and developing renewable energy sources (RESs) are effective ways to reduce carbon emissions. This article constructs a mixed-integer programming (MIP) model of low-carbon full-scenario unit commitment with nonanticipativity. To overcome the curse of di...

To provide flexibilities for peak regulations in power systems while addressing renewable energy uncertainties, this paper proposes a two-stage stochastic unit commitment model with peak regulation constraints of nuclear power plants (NPPs) under the “12-3-6-3” mode. The first stage aims to determine the optimal thermal unit commitment, and the sec...

The present study merges the teaching and learning algorithm (TLBO) and turbulent flow of water optimization (TFWO) to propose the hybrid TLTFWO. The main purpose is to provide optimal power flow (OPF) of the power network. To this end, the paper also incorporated photovoltaics (PV) and wind turbine (WT) generating units. The estimated output power...

Rapidly increasing distributed energy resources (DERs) bring more fluctuating output power to the distribution network and put forward a higher requirement on local regulation resources for maintaining the network's balance. Heating, ventilation, and air conditioning (HVAC) loads account for more than 40% of power consumption in modern cities and h...

With the increasing penetration of distributed generations (DGs) in three-phase distribution networks, the traditional radial passive distribution networks are gradually transformed into active distribution networks (ADNs) with DGs, accompanied by a dramatic increase in operational scenarios. To fast analyze the massive scenarios of ADNs, this pape...

This paper proposes an optimal residential energy hub (REH) design framework where the desired tradeoff between maximizing the satisfaction level of residential user energy usage and minimizing the overall costs is obtained by establishing a customer desire function (CDF). Considering the major household appliances, the REH demands are categorized...

In this study, an improved artificial intelligence algorithms augmented Internet of Things (IoT)-based maximum power point tracking (MPPT) for photovoltaic (PV) system has been proposed. This will facilitate preventive maintenance, fault detection, and historical analysis of the plant in addition to real-time monitoring. Further, the simulation res...

Smart grids (SG) allow users to plan and control device usage patterns optimally, thereby minimizing power costs, peak-to-average ratios (PAR), and peak load demands. The present study develops a typical framework of a home energy management system (HEMS) for SG scenarios using newly limited and multi-limited planning approaches for domestic users....

Feeder reconfiguration is an effective way to reduce power losses of distribution network. In this way, configuration of distribution system is changed in order to achieve possible minimum losses, while electricity demand of consumers has to be provided. Consumers' power demand has an important role in feeder reconfiguration because any change in d...

Multi-heterogeneous energy (MHE) system includes both energy systems: regional-level and park-level. Energy hub station (EHS) is the energy interaction hub between regional-level energy system and park-level energy users. In order to achieve the multi-energy optimal dispatching, it is very essential to properly coordinate the lean modeling and fast...

The emergence of nanogrid has led to active local energy markets. Renewable energy sources and flexible energy storages in nanogrids provide favorable conditions for establishing a sustainable bilateral trading market. However, due to the diversity of energy sources in nanogrids, it is difficult to establish a uniform scheduling scheme. To this end...

In this paper, a three-stage bi-level stochastic programming approach is proposed for joint energy and reserve scheduling of a virtual power plant (VPP). In this framework, the VPP can provide demand response (DR) services and reserve capacity from external DR providers (DRPs) by participating in a local intraday demand response exchange (IDRX) mar...

Generation and transmission expansion increase the flexibility of power systems and hence their ability to deal with contingency. This paper presents a resilient‐constrained generation and transmission expansion planning (RCGTEP) model considering the occurrence of earthquakes and floods. The proposed model minimizes the investment and operation co...

A nonlinear optimal (H-infinity) control method is developed for the Lotka-Volterra dynamical system. First, differential flatness properties are proven. The state-space description undergoes linearization, at each sampling instance, with the use of first-order Taylor series expansion and through the computation of the associated Jacobian matrices....

In this paper, a practical approach is presented to long-term expansion planning of electric vehicle (EV) parking lots which aims to maximize the parking lot operator’s profit. The optimal number, location, capacity, and time for construction or expansion of EV parking lots have also been determined. Moreover, a method based on drivers’ travel patt...

The initial allocation of carbon emission rights among different generating units is an important element in the initial stage of the construction of the carbon emission market for the power system, and is also the focus of attention in the construction of the current carbon market for the power system in China.In practical situations, a variety of...

Energy transitions (ETs) can solve some societal problems but must transform societies. Accordingly, socio-technical transitions and other systemic frameworks have been used to assess ETs. However, based on these frameworks, assessments miss a value co-creation orientation, the focus on actors’ researched benefits and enabled service exchange, and...

The present article proposes a nonlinear optimal control approach for permanent magnet AC machines with non-sinusoidal back electromotive force being fed by three-phase inverters. Such AC machines are also known as permanent magnet brushless DC motors (PMBLDC) and find use in several traction and actuation systems. First, by applying an extended pa...

Energy hub systems meet the needs of customers in different forms of energy by coordinated operation of different infrastructures, thereby improving system flexibility, reducing losses and reducing operating costs. Due to the increase in the construction of energy hub systems in distribution networks, the issue of optimal design of energy hubs has...

A two-stage adaptive robust optimization is developed for pre-disturbance scheduling in microgrids (MGs) for handling uncertainties associated with electricity market prices, renewable generation, demand forecasts, and islanding events. The objective is to produce a reliable and optimal solution for MG operation that minimizes operational costs and...

Distribution factors (DFs) are sensitivities of active power line flows with respect to control variables, which play an important role in smart grid monitoring and secure operation. This paper proposes a novel data-driven framework for robust sparse DF estimation that can handle the collinearity of high-dimensional synchrophasor measurements in la...

Cloud computing has emerged as a new technological domain in the IT industry. Currently, several organizations working in various domains, such as healthcare, finance, manufacturing, smart grid, Internet of Things (IoT), and IT, are increasingly integrating cloud computing with their traditional applications. The key idea behind the usage of cloud...

The power system is vital to energy security, emergency services, critical infrastructures, and the economy. Resilience of the power system against high-impact low-probability events is of particular importance to ensure the stability and reliability of the system planning and operation. The challenges and opportunities towards both the evaluation...