Paschalis Gkaidatzis

Verified

Paschalis verified their affiliation via an institutional email.

Learn more

Verified

Paschalis verified their affiliation via an institutional email.

Learn more

• Ph.D.
• Post doc researcher at Centre for Research and Technology Hellas

The explicit demand response (DR) is a key program for reinforcing the participation of end customers and making the most out of the potential of the smart grid. The DR is a key topic in the field of buildings to make use of the flexibility that they can offer. However, in order to guarantee the correct functionality of a DR system, it is fundament...

This research, conducted throughout the years 2022 and 2023, examines the role of blockchain technology in optimizing Demand Response (DR) within Smart Grids (SGs). It critically assesses a range of blockchain architectures, evaluating their impact on enhancing DR’s efficiency, security, and consumer engagement. Concurrently, it addresses challenge...

Distribution System Operators (DSOs) and Aggregators benefit from novel Energy Generation Forecasting (EGF) approaches. Improved forecasting accuracy may make it easier to deal with energy imbalances between production and consumption. It also aids operations such as Demand Response (DR) management in Smart Grid architecture. This work aims to deve...

This paper deals with the problem of energy losses in Distribution Networks (DNs) under Electric Vehicle (EV) penetration. The problem of charging overlaps causing severe power losses and voltage drops is faced under appropriate EV charging. An optimization EV charging schedule is proposed under EV time-of-arrival consideration. The solution algori...

A way to improve energy management is to perform balancing both at the Peer-to-peer (P2P) level and then at the Virtual Microgrid-to-Virtual Microgrid (VMG2VMG) level, while considering the intermittency of available Renewable Energy Source (RES). This paper proposes an interdisciplinary analytics-based approach for the formation of VMGs addressing...

Energy sector stakeholders, such as Distribution System Operators (DSO) or Aggregators take advantage of improved forecasting methods. Increased forecasting accuracy facilitates handling energy imbalances between generation and consumption. It also supports Smart Grid framework processes, such as Demand-Side or Demand Response Management (DRM). Thi...

In this paper, an unsupervised non-intrusive load monitoring approach is proposed in order to encounter the disaggregation problem for Non-Intrusive Load Monitoring (NILM) methodologies, using odd harmonic current amplitudes. The problem has been contemplated as a multi-class multi-label one and for the combinations examined the number of appliance...

In 2020, residential sector loads reached 25% of the overall electrical consumption in Europe and it is foreseen to stabilise at 29% by 2050. However, this relatively small increase demands, among others, changes in the energy consuming behaviour of households. To achieve this, Demand Response (DR) has been identified as a promising tool for unlock...

Over the past few decades, industry and academia have made great strides to improve aspects related with optimal energy management. These include better ways for efficient energy asset management, generating great opportunities for optimization of energy distribution, discomfort minimization, energy production, cost reduction and more. This paper p...

Being an engineering field, power systems provide an extensive subject for optimization to be applied upon. Modern power systems have evolved in an increasingly highly complex system. The liberalization of the energy market and the introduction of distributed generation and, in particular, distributed renewable energy resources (DRES) have raised b...

As microgrids have gained increasing attention over the last decade, more and more applications have emerged, ranging from islanded remote infrastructures to active building blocks of smart grids. To optimally manage the various microgrid assets towards maximum profit, while taking into account reliability and stability, it is essential to properly...

This paper examines how Low Voltage Distribution Networks (DNs) can optimize their voltage profile and minimize their energy losses through the planning ofcharging of Electric Vehicles (EVs).We consider variations concerning the charger and battery capacity of the EVs and we formulate two objective functions. A Particle Swarm Optimization (PSO) alg...

This chapter introduces the Network Reconfiguration (NR) concept in Distribution Networks (DNs) as an efficient scheme to face various operational issues like reliability improvement and loss reduction. Furthermore, the potential for utilizing NR to perform voltage profile improvement under high DG or Renewable Energy Sources (RESs) penetration is...

As the evolution of new cutting-edge energy technologies gain more and more momentum, modern power systems require higher capability in controlling all the devices and equipment that are able to handle processes for smartening the typical usage of the energy resources. This is the case of Renewable Energy Sources and Distributed Generation, innovat...

The penetration of Electric Vehicles (EVs) is rapidly increasing at the Low Voltage (LV) level, thus increasing the electrification rate of transport. Moreover, Photovoltaic (PV) systems at the LV level have been constantly increasing as well. Buildings with PVs on their roof and EVs as the main transport means may well become the norm the followin...

In this paper, a novel version of the Optimal Distributed Generation Placement (ODGP) problem regarding the siting and sizing of Renewable Energy Sources (RESs) units is presented, called Optimal RES placement (ORESP). Power losses constitute the objective function to be minimized, subject to operational constraints. The simultaneous installation o...

In the smart home context, one of the features that most users would desire is the knowledge of the operation of each electrical appliance without the need to install expensive smart plugs or measuring equipment at each outlet-appliance. The Non-Intrusive Load Monitoring (NILM) idea is an alternative method where only one meter is utilized. However...

This paper focuses on the optimal siting of Battery Energy Storage Systems (BESS) in a Distribution Network with installed Photovoltaic Generation, in order to minimize the energy losses of the system. The bus voltage limit, as well as the ampacity level of the lines are taken into consideration as constraints, while the technical constraints of th...

TThis paper examines voltage quality problems in Low Voltage (LV) Distribution Networks (DNs) due to high Photovoltaic (PV) and Electric Vehicles (EVs) penetration. The proposed methodology considers Battery Energy Storage Systems (BESSs) along with the PV units in order to store the energy surplus that causes overvoltage during the high PV generat...

This paper focuses on the optimal siting of Battery Energy Storage Systems (BESS) in a Distribution Network (DN) with installed Wind Generation (WG), in order to minimize the energy losses and reduce the power load fluctuation of the DN. The bus voltage limit, as well as the ampacity level of the lines are taken into consideration as constraints, w...

This chapter introduces the Optimal Distributed Generation Placement problem towards power and energy loss minimization. Several solving methods are applied in order for the most suitable to emerge. Apart from technical and DG constraints, recent raised issues due to high Distributed Generation penetration like the reverse power flow effect is cons...

The Optimal Distributed Generation Placement problem (ODGP) towards energy loss minimization depends basically on the network's layout and its load composition. Under load variations, different load compositions result, for each one of them, is highly possible to come up with a different optimal solution regarding the optimal siting and sizing of D...

Integration of Distributed Generation (DG) in existing Distribution Networks (DNs) has been studied thoroughly during the last years as a measure of reducing grid’s power losses. However, the Optimal Distributed Generation Placement, known as ODGP, towards loss minimisation, has not been studied in depth by considering the possible impact of the Re...

In this paper loss reduction in Distribution Networks is performed under proper consideration regarding Distributed Generation (DG) siting and sizing and network reconfiguration. The optimal solution for each of the aforementioned techniques, when applied individually, is highly dependent on the network layout and on its load composition. Thus, the...

The increasing penetration of Renewable Energy Sources (RES) and generation uncertainties, brought to the fore new challenges and problems regarding efficient Distribution Networks (DNs) operation. Energy Storage Systems (ESS) can play a significant role in more reliable, secure and flexible DN operation since they can deal with difficult-to-predic...

In this paper, a comparative analysis and evaluation of several heuristic techniques, when applied to the Optimal Distributed Generation Placement (ODGP) problem, is presented. Loss minimization is considered as the objective, while the network's technical characteristics as the constraints. Three versions of Particle Swarm Optimization (PSO), Glob...

This paper examines the impact of different penetration schemes to the optimal distributed generation placement problem for loss minimisation. The four variables of the problem are presented and a concept based on degrees of freedom (DoF), representing the number of the variables that undergo any kind of limitation during the solution process, is i...

In this paper we present a new methodology for the formulation of efficient load signatures towards the implementation of a near-real time Non-Intrusive Load Monitoring (NILM) approach. The purpose of this work relies on defining representative current values regarding the 1st, 3rd and 5th harmonic orders to be utilized in the load signatures formu...

In this paper, an innovative approach regarding the Optimal Distributed Generation Placement (ODGP) problem is presented. Loss minimization is considered as the objective, while taking into account the network's technical characteristics as constraints, i.e., node voltage and line thermal limits. Two different aspects are considered; First the inst...

Increasing penetration of Distributed Generation (DG), when not planned appropriately by the Distribution Network Operator may lead to opposite results that are displaced as externalities on adjacent grids. Reverse Power Flow (RPF) by means of an upstream power flow leaving the grid under study and heading to the neighbouring ones could be such an...

In this paper, a new effort regarding the Optimal Distributed Generation Placement (ODGP) problem is presented. Loss minimization is considered as the objective while considering the network's technical characteristics as constraints, i.e. node voltage and line thermal limits. The proposed method, called Unified Particle Swarm Optimization techniqu...

In this paper the Optimal Distributed Generation Problem (ODGP) towards energy minimization is solved for a large number of scenarios regarding power loss minimization. Load variations are taken into account by the formulation of different snapshots concerning the network's operational status. These snapshots refer to various load compositions and...