Special Issue "Smart Energy Systems and Technologies"

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Environmental and Sustainable Science and Technology".

Deadline for manuscript submissions: 30 July 2021.

Special Issue Editors

Prof. Dr. Pierluigi Siano
grade Website
Guest Editor
Scientific Director of the Smart Grids and Smart Cities Laboratory (SMARTLab), Department of Management and Innovation Systems, University of Salerno, 84084 Fisciano SA, Italy
Interests: demand response; energy management; integration of distributed energy resources in smart grids; electricity markets; planning and management of power systems
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Dr. Hassan Haes Alhelou
Website
Guest Editor
Department of Electrical and Computer Engineering, Isfahan University of Technology, Iran;
Faculty Member at the Department of Electrical Power Engineering, Tishreen University, Lattakia, SY
Interests: Smart grids; power system control and operation; power system dynamics and stability; micro-grids; dynamic state estimation; high voltage systems
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

Nowadays, there is a large amount of effort required in order to achieve the deployment a smart city. Smart grids are the main parts of smart cities, and they aim to operate energy systems sustainably, efficiently, and securely. In the last few decades, issues such as energy security risks and environmental concerns have arisen, that lead to the deployment of a new type of energy resources, i.e. renewable energy resources. Traditional energy systems need thorough modifications to increase their ability to host such new energy sources; in order to avoid its stable operation and security. To this end, smart grids suggest new concepts, information and communication infrastructures, planning, operation, control, protection and analysis methods for upgrading conventional power systems to be smarter when it comes to achieving full smart energy systems.

Prof. Dr. Pierluigi Siano
Dr. Hassan Haes Alhelou
Guest Editors

Manuscript Submission Information

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Keywords

  • Smart grids and microgrids
  • Smart energy system
  • Modern power systems
  • Energy system transition
  • Power system planning and operation
  • Power system control, stability, and protection
  • Generation, transmission, and distribution sectors
  • Demand-side management
  • Information and communication infrastructures
  • Distributed generation, demand response, and smart metering
  • Wide-area power systems and PMUs
  • Energy storage systems and flexibility

Published Papers (3 papers)

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Research

Open AccessArticle
A Mixed-Integer Quadratic Formulation of the Phase-Balancing Problem in Residential Microgrids
Appl. Sci. 2021, 11(5), 1972; https://doi.org/10.3390/app11051972 - 24 Feb 2021
Abstract
Phase balancing is a classical optimization problem in power distribution grids that involve phase swapping of the loads and generators to reduce power loss. The problem is a non-linear integer and, hence, it is usually solved using heuristic algorithms. This paper proposes a [...] Read more.
Phase balancing is a classical optimization problem in power distribution grids that involve phase swapping of the loads and generators to reduce power loss. The problem is a non-linear integer and, hence, it is usually solved using heuristic algorithms. This paper proposes a mathematical reformulation that transforms the phase-balancing problem in low-voltage distribution networks into a mixed-integer convex quadratic optimization model. To consider both conventional secondary feeders and microgrids, renewable energies and their subsequent stochastic nature are included in the model. The power flow equations are linearized, and the combinatorial part is represented using a Birkhoff polytope B3 that allows the selection of phase swapping in each node. The numerical experiments on the CIGRE low-voltage test system demonstrate the use of the proposed formulation. Full article
(This article belongs to the Special Issue Smart Energy Systems and Technologies)
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Open AccessArticle
Performance of Hybrid Filter in a Microgrid Integrated Power System Network Using Wavelet Techniques
Appl. Sci. 2020, 10(19), 6792; https://doi.org/10.3390/app10196792 - 28 Sep 2020
Cited by 2
Abstract
Nowadays, the application of distributed energy sources (DES) has been extensively employed to serve the power system by supplying the power into the grid and improving the power quality (PQ). Therefore, DES is one solution that can efficiently overcome the energy crisis and [...] Read more.
Nowadays, the application of distributed energy sources (DES) has been extensively employed to serve the power system by supplying the power into the grid and improving the power quality (PQ). Therefore, DES is one solution that can efficiently overcome the energy crisis and climate change problems. The DES, such as solar photovoltaic (PV), wind turbine (WT), and battery energy storage systems (BESS), are incorporated to form the microgrid (MG), which are interfaced with the power system. However, interfacing MG to the power system is undoubtedly a big challenge. Therefore, more focus is required on the control strategy to control the MG with the power system. To address the PQ problems, a controlled MG integrated with a hybrid shunt active power filter (HSAPF) is provided in this work. For controlling the MG integrated HSAPF, different control strategies are applied. In this work, a learning-based incremental conductance (LINC) technique is used as a maximum power point tracking (MPPT) for tracking the maximum power in PV and WT. The voltage source inverter (VSI) of HSAPF is controlled using a wavelet-based technique with a synchronous reference frame (SRF). The main focus is to improve the PQ by compensating the harmonics and regulating the reactive power in both grid-interactive and islanded condition and also supply continuous and adequate power to the non-linear load. The power system model has been developed with MATLAB/Simulink tool, which shows the efficiency of the proposed method. The results obtained have been satisfactorily under various operating conditions and can be validated further using the real-time dSPACE. Full article
(This article belongs to the Special Issue Smart Energy Systems and Technologies)
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Open AccessArticle
A Robust Adaptive Overcurrent Relay Coordination Scheme for Wind-Farm-Integrated Power Systems Based on Forecasting the Wind Dynamics for Smart Energy Systems
Appl. Sci. 2020, 10(18), 6318; https://doi.org/10.3390/app10186318 - 10 Sep 2020
Cited by 1
Abstract
Conventional protection schemes in the distribution system are liable to suffer from high penetration of renewable energy source-based distributed generation (RES-DG). The characteristics of RES-DG, such as wind turbine generators (WTGs), are stochastic due to the intermittent behavior of wind dynamics (WD). It [...] Read more.
Conventional protection schemes in the distribution system are liable to suffer from high penetration of renewable energy source-based distributed generation (RES-DG). The characteristics of RES-DG, such as wind turbine generators (WTGs), are stochastic due to the intermittent behavior of wind dynamics (WD). It can fluctuate the fault current level, which in turn creates the overcurrent relay coordination (ORC) problem. In this paper, the effects of WD such as wind speed and direction on the short-circuit current contribution from a WTG is investigated, and a robust adaptive overcurrent relay coordination scheme is proposed by forecasting the WD. The seasonal autoregression integrated moving average (SARIMA) and artificial neuro-fuzzy inference system (ANFIS) are implemented for forecasting periodic and nonperiodic WD, respectively, and the fault current level is calculated in advance. Furthermore, the ORC problem is optimized using hybrid Harris hawks optimization and linear programming (HHO–LP) to minimize the operating times of relays. The proposed algorithm is tested on the modified IEEE-8 bus system with wind farms, and the overcurrent relay (OCR) miscoordination caused by WD is eliminated. To further prove the effectiveness of the algorithm, it is also tested in a typical wind-farm-integrated substation. Compared to conventional protection schemes, the results of the proposed scheme were found to be promising in fault isolation with a remarkable reduction in the total operation time of relays and zero miscoordination. Full article
(This article belongs to the Special Issue Smart Energy Systems and Technologies)
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