Active Regional Energy Systems and Microgrids

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".

Deadline for manuscript submissions: closed (28 February 2021) | Viewed by 26618

Special Issue Editors


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Guest Editor
Faculty of Engineering, University of Porto, Porto, Portugal
Interests: power system operations and planning; hydrothermal scheduling and wind/price forecasting; power system economics and electricity markets; risk analysis, uncertainty, and stochastic programming; renewable energies and demand-side management
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Special Issue Information

Dear Colleagues,

The shift towards an active energy grid (AEG) dominated by prosumers will inevitably affect the way that energy is locally produced, distributed, and consumed. In this transition, regional energy systems and microgrids can play a major role by hosting the needed drivers, such as the increasing uptake of new and emerging technologies for decentralized energy systems, the boosting digitalization and associated business models, as well as future societal trends. These active energy networks can also provide optimized solutions for better integration of distributed energy sources and higher system flexibility through involving different energy carriers as well as utilizing local energy storage options and responsive loads. Technological service systems, as inseparable parts of AEGs, could also support/facilitate dynamic business processes and provide suitable business models for serving different market participants, such as individual consumers and prosumers, system operators, facility managers, energy suppliers, service providers, and aggregators.

This Special Issue aims to cover the most recent technical advances and dynamic areas of research and development in all AEG aspects, including design, operation, control, and optimization. Both theoretical derivations or practical development of active regional energy systems and microgrids are welcomed. Reviews and surveys of the state-of-the-art in AEGs are also welcomed.

Topics of interest to this Special Issue include but are not limited to:

  • Planning and operation of active energy networks and microgrids
  • Control and protection of AEGs
  • Energy hubs and multicarrier energy systems
  • Integrated energy systems and microgrids clusters
  • Regional energy system regulatory frameworks, markets, and ancillary services
  • Risk modeling and management in AEGs
  • Micro- and nano-energy systems and technologies
  • Energy conversion, storage, and management
  • Modelling and optimization of AEGs
  • Distributed generation resources
  • Transactive energy
  • Energy forecasting
  • Energy resource management
  • Renewable technology assessment and management
  • Flexible demand and energy storages
  • Cyberphysical systems, information and communication infrastructure, and data analytics
  • Real-world practical applications of regional energy system and microgrids.

 

Dr. Amjad Anvari-Moghaddam
Prof. Dr. João P. S. Catalão
Guest Editors

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Published Papers (11 papers)

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Research

13 pages, 3339 KiB  
Article
Simulation and Characteristics Analysis of On-Shore OWC System Proposal as Distributed Generation Resource Considering the Irregular Wave Interaction
by Josué Aarón López-Leyva, Carolina Barrera-Silva, Luisa Fernanda Sarmiento-Leyva and María Fernanda González-Romero
Electronics 2021, 10(7), 773; https://doi.org/10.3390/electronics10070773 - 25 Mar 2021
Viewed by 1692
Abstract
This article presents the simulation and characterization of an on-shore oscillating water column (OWC) system as part of a distributed generation network considering the irregular interaction of sea waves. The main issue is the adequate calculation of the power generated considering the real [...] Read more.
This article presents the simulation and characterization of an on-shore oscillating water column (OWC) system as part of a distributed generation network considering the irregular interaction of sea waves. The main issue is the adequate calculation of the power generated considering the real variations of the sea waves, employing the stochastic analysis of the wave height and period. The characterization of the wave height was carried out using the Fisher-Tippett Type 1 function, and for the wave period, an empirical probability density function to obtain the instantaneous and accumulated power in an annual period. A basic on-shore OWC system was proposed with different physical dimensions. The theoretical and numerical results present a very similar performance for both turbines (600 W and 25 kW) analyzed. Regarding the 600 W turbine, the resulting accuracy is ≈94.5%, which implies that the annual generated power is 3.13 ± 1.02 MWh/year and the overall efficiency is 23.51% ± 1.9%. However, due to the reduced power generated, the chamber dimensions were modified, achieving 160.61 ± 9.99 MWh/year with an accuracy of ≈93.2%, based on an installed power capacity proposal using a 25 kW turbine. Also, the average overall efficiency for both turbines considering the irregular wave interaction is ≈23.5% and ≈21.1% for 600 W and 25 kW turbines, respectively. Full article
(This article belongs to the Special Issue Active Regional Energy Systems and Microgrids)
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16 pages, 1211 KiB  
Article
Combined Correlation and Cluster Analysis for Long-Term Power Quality Data from Virtual Power Plant
by Michał Jasiński
Electronics 2021, 10(6), 641; https://doi.org/10.3390/electronics10060641 - 10 Mar 2021
Cited by 7 | Viewed by 1492
Abstract
Analysis of the connection between different units that operate in the same area assures always interesting results. During this investigation, the concerned area was a virtual power plant (VPP) that operates in Poland. The main distributed resources included in the VPP are a [...] Read more.
Analysis of the connection between different units that operate in the same area assures always interesting results. During this investigation, the concerned area was a virtual power plant (VPP) that operates in Poland. The main distributed resources included in the VPP are a 1.25 MW hydropower plant and an associated 0.5 MW energy storage system. The mentioned VPP was a source of synchronic, long-term, multipoint power quality (PQ) data. Then, for five related measurement points, the conclusion about the relation in point of PQ was performed using correlation analysis, the global index approach, and cluster analysis. Global indicators were applied in place of PQ parameters to reduce the amount of analyzed data and to check the correlation between phase values. For such a big dataset, the occurrence of outliers is certain, and outliers may affect the correlation results. Thus, to find and exclude them, cluster analysis (k-means algorithm, Chebyshev distance) was applied. Finally, the correlation between PQ global indicators of different measurement points was performed. It assured general information about VPP units’ relation in point of PQ. Under the investigation, both Pearson’s and Spearman’s rank correlation coefficients were considered. Full article
(This article belongs to the Special Issue Active Regional Energy Systems and Microgrids)
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22 pages, 6005 KiB  
Article
An Effective Algorithm for MAED Problems with a New Reliability Model at the Microgrid
by Amirreza Naderipour, Akhtar Kalam, Zulkurnain Abdul-Malek, Iraj Faraji Davoudkhani, Mohd Wazir Bin Mustafa and Josep M. Guerrero
Electronics 2021, 10(3), 257; https://doi.org/10.3390/electronics10030257 - 22 Jan 2021
Cited by 8 | Viewed by 1871
Abstract
This paper proposes a new framework for multi-area economic dispatch (MAED) in which the cost associated with the reliability consideration is taken into account together with the common operational and emission costs using expected energy not supplied (EENS) index. To improve the reliability [...] Read more.
This paper proposes a new framework for multi-area economic dispatch (MAED) in which the cost associated with the reliability consideration is taken into account together with the common operational and emission costs using expected energy not supplied (EENS) index. To improve the reliability level, the spinning reserve capacity is considered in the model as well. Furthermore, the MAED optimization problem and non-smooth cost functions are taken into account as well as other technical limitations such as tie-line capacity restriction, ramp rate limits, and prohibited operating zones at the microgrid. Considering all the above practical issues increases the complexity in terms of optimization, which, in turn, necessitates the use of a powerful optimization tool. A new successful algorithm inspired by phasor theory in mathematics, called phasor particle swarm optimization (PPSO), is used in this paper to address this problem. In PPSO, the particles’ update rules are driven by phase angles to essentially ensure a spread of variants across the population so that exploitation and exploration can be balanced. The optimal results obtained via simulations confirmed the capability of the proposed PPSO algorithm to find suitable optimal solutions for the proposed model. Full article
(This article belongs to the Special Issue Active Regional Energy Systems and Microgrids)
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14 pages, 9475 KiB  
Article
Practical Evidence-Based Evaluation of a Combined Heat Reduction Technique for Power Transformer Buildings
by İlker Dursun, Sıtkı Güner, İbrahim Şengör, Ayşe Kübra Erenoğlu, Ozan Erdinç and João P. S. Catalão
Electronics 2020, 9(12), 2127; https://doi.org/10.3390/electronics9122127 - 12 Dec 2020
Cited by 2 | Viewed by 2191
Abstract
Transformer buildings are at the heart of the effective operation of distribution systems, and heating problems of transformers under severe operational conditions are among the main factors affecting the lifetime, efficiency, technical losses, etc., of such important power system assets. It is crucial [...] Read more.
Transformer buildings are at the heart of the effective operation of distribution systems, and heating problems of transformers under severe operational conditions are among the main factors affecting the lifetime, efficiency, technical losses, etc., of such important power system assets. It is crucial that the inside temperature of transformer buildings is higher than the outside temperature due to the operation of the transformer and the effect of ambient conditions. This issue may cause several problems such as additional transformer aging, losses, and moisture. The main purpose of this study is to decrease the inside temperature of transformer buildings; in other words, to prevent the inside temperature from being higher than the outside temperature. To realize this, it is recommended to apply a combined heat reduction technique by covering the outer surface with a reflective surface and use a low-emitting material on the inner surface. The relevant results of the practical evidence in this manner are presented in detail at a distribution system in Turkey with different climate and loading conditions in the summertime. Full article
(This article belongs to the Special Issue Active Regional Energy Systems and Microgrids)
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16 pages, 2639 KiB  
Article
Simulation and Characteristics Analysis of Multiple Wind Generators in Large-Scale Wind Farms Based on Simplified Model
by Jing Wang and Guopeng Zhao
Electronics 2020, 9(12), 1994; https://doi.org/10.3390/electronics9121994 - 25 Nov 2020
Cited by 1 | Viewed by 1523
Abstract
In the view of the high complexity and a large amount of data of the electromagnetic transient model for the single wind generator, it is difficult to realize the multi-unit simulation modeling of large-scale wind farms by power system simulation software. In this [...] Read more.
In the view of the high complexity and a large amount of data of the electromagnetic transient model for the single wind generator, it is difficult to realize the multi-unit simulation modeling of large-scale wind farms by power system simulation software. In this paper, the simplified models of single direct drive and doubly-fed wind generator system are proposed, respectively. In order to study the output characteristics of the wind generator system, the components with small inertia constant in the electromagnetic transient model are neglected, and the shafting model, the converter model, and the control loops are simplified and reduced, respectively. Based on the study of the single electromagnetic transient model of wind generators, the simplified simulation models are built by the PSCAD (Power Systems Computer Aided Design) simulation platform, which are carried out under the conditions of constant wind speed, step wind speed, and fault. The output characteristics of the simplified models under different working conditions are compared in detail models. The simulation results show that, within the allowable calculation accuracy range, the dynamic response curves of the single simplified model and the electromagnetic transient model are consistent. The simulation speed can be significantly improved, the time consumption can be reduced, and the simulation speed can be increased more obviously when the number of simulation models increases. Therefore, it can be applied to the simulation research of multi-wind generators in large-scale wind farms. Full article
(This article belongs to the Special Issue Active Regional Energy Systems and Microgrids)
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25 pages, 8075 KiB  
Article
Design and Dynamic Modelling of PV-Battery Hybrid Systems for Custom Electromagnetic Transient Simulation
by Seok-Il Go and Joon-Ho Choi
Electronics 2020, 9(10), 1651; https://doi.org/10.3390/electronics9101651 - 11 Oct 2020
Cited by 15 | Viewed by 3264
Abstract
Battery energy storage systems (BESS) can alleviate the unstable effects of intermittent renewable energy systems, such as solar and wind power systems. In addition, a BESS can level the load of the existing utility grid. The penetration rate of this type of system [...] Read more.
Battery energy storage systems (BESS) can alleviate the unstable effects of intermittent renewable energy systems, such as solar and wind power systems. In addition, a BESS can level the load of the existing utility grid. The penetration rate of this type of system is expected to increase in the future power grid, i.e., the microgrid. In this paper, a modeling technique is proposed that allows users to customize the photovoltaic (PV) battery hybrid systems. A dynamic power system computer-aided design/electromagnetic transients including DC system (PSCAD/EMTDC) model of a PV battery hybrid system is presented in this paper. Dynamic modeling of PV arrays, BESS, maximum power point tracking (MPPT) algorithms, and bidirectional converters are provided as well. The PV model, battery model, and MPPT control model are designed using a user-defined model (UDM) for custom electromagnetic transient simulation. A control method for stabilizing the output of the PV battery hybrid system is proposed. Finally, a PSCAD/EMTDC simulation is conducted to verify the effectiveness of the operating algorithm. Full article
(This article belongs to the Special Issue Active Regional Energy Systems and Microgrids)
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17 pages, 3168 KiB  
Article
Bi-Level Operation Scheduling of Distribution Systems with Multi-Microgrids Considering Uncertainties
by Saeid Esmaeili, Amjad Anvari-Moghaddam, Erfan Azimi, Alireza Nateghi and João P. S. Catalão
Electronics 2020, 9(9), 1441; https://doi.org/10.3390/electronics9091441 - 03 Sep 2020
Cited by 8 | Viewed by 1972
Abstract
A bi-level operation scheduling of distribution system operator (DSO) and multi-microgrids (MMGs) considering both the wholesale market and retail market is presented in this paper. To this end, the upper-level optimization problem minimizes the total costs from DSO’s point of view, while the [...] Read more.
A bi-level operation scheduling of distribution system operator (DSO) and multi-microgrids (MMGs) considering both the wholesale market and retail market is presented in this paper. To this end, the upper-level optimization problem minimizes the total costs from DSO’s point of view, while the profits of microgrids (MGs) are maximized in the lower-level optimization problem. Besides, a scenario-based stochastic programming framework using the heuristic moment matching (HMM) method is developed to tackle the uncertain nature of the problem. In this regard, the HMM technique is employed to model the scenario matrix with a reduced number of scenarios, which is effectively suitable to achieve the correlations among uncertainties. In order to solve the proposed non-linear bi-level model, Karush–Kuhn–Tucker (KKT) optimality conditions and linearization techniques are employed to transform the bi-level problem into a single-level mixed-integer linear programming (MILP) optimization problem. The effectiveness of the proposed model is demonstrated on a real-test MMG system. Full article
(This article belongs to the Special Issue Active Regional Energy Systems and Microgrids)
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19 pages, 8634 KiB  
Article
An Energy Community Implementation: The Unical Energy Cloud
by Andrea Giordano, Carlo Mastroianni, Daniele Menniti, Anna Pinnarelli and Nicola Sorrentino
Electronics 2019, 8(12), 1517; https://doi.org/10.3390/electronics8121517 - 11 Dec 2019
Cited by 20 | Viewed by 3393
Abstract
Reducing greenhouse gas emissions, limiting the effects of climate change and decreasing the environmental, social and economic costs of energy production are some of the main issues related to the sustainable development of modern society. Energy communities, envisioned to enable local energy exchange [...] Read more.
Reducing greenhouse gas emissions, limiting the effects of climate change and decreasing the environmental, social and economic costs of energy production are some of the main issues related to the sustainable development of modern society. Energy communities, envisioned to enable local energy exchange between consumers and producers of renewable energy, represent a possible scenario towards a cleaner and sustainable energy system. In this paper, an energy community management model called Power Cloud and presented in previous papers is proposed for a real-world practical application at the University of Calabria. In particular, the implementation of the information and communication technology (ICT) architecture and other enabling technologies, such as the nanogrid and the smart energy box, are discussed in detail. The experiment results show that by adopting the Power Cloud management model it is possible to obtain significant savings in terms of energy cost, which provide benefit for a community, such as a university campus. Full article
(This article belongs to the Special Issue Active Regional Energy Systems and Microgrids)
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18 pages, 1668 KiB  
Article
Sub-Transmission Network Expansion Planning Considering Regional Energy Systems: A Bi-Level Approach
by Mohammad Navidi, Seyed Masoud Moghaddas Tafreshi and Amjad Anvari-Moghaddam
Electronics 2019, 8(12), 1416; https://doi.org/10.3390/electronics8121416 - 27 Nov 2019
Cited by 7 | Viewed by 3226
Abstract
In order to facilitate the transformation of the existing generation and transmission networks’ structure into a scalable and competitive grid structure, this paper introduced regional energy systems (RGESs) that have the role of aggregating distributed energy resources (DERs) and flexible loads. The economic [...] Read more.
In order to facilitate the transformation of the existing generation and transmission networks’ structure into a scalable and competitive grid structure, this paper introduced regional energy systems (RGESs) that have the role of aggregating distributed energy resources (DERs) and flexible loads. The economic justification for the expansion of sub-transmission networks in the presence of regional energy systems was also investigated. To achieve this goal, multi-criteria optimization solutions were employed to find techno-economic solutions. While solving the proposed multi-criteria optimization problem, a Pareto front was determined to show the tradeoff between the criteria examined. In addition, fuzzy satisfying and the max-min method were used for finding equilibrium point. In order to demonstrate the performance and effectiveness of the proposed model, a realistic sub-transmission system in Guilan Province, Iran, was used as a test system and the results were compared to those from a traditional sub-transmission expansion planning model. Full article
(This article belongs to the Special Issue Active Regional Energy Systems and Microgrids)
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19 pages, 2367 KiB  
Article
Optimal Design of a Wide Area Measurement System Using Hybrid Wireless Sensors and Phasor Measurement Units
by Amir Bashian, Mohsen Assili, Amjad Anvari-Moghaddam and João P. S. Catalão
Electronics 2019, 8(10), 1085; https://doi.org/10.3390/electronics8101085 - 24 Sep 2019
Cited by 14 | Viewed by 2405
Abstract
Real-time monitoring of the power system by phasor measurement units (PMUs) leads to the development of such devices in a wide area measurement system (WAMS). However, the power system observability cannot be obtained by employing only PMUs. The communication infrastructure (CI) is a [...] Read more.
Real-time monitoring of the power system by phasor measurement units (PMUs) leads to the development of such devices in a wide area measurement system (WAMS). However, the power system observability cannot be obtained by employing only PMUs. The communication infrastructure (CI) is a significant part of the WAMS that has to be optimally designed and implemented to collect data from PMUs and deliver them to control centers. In this paper, a novel hybrid wireless sensor network is proposed for the connection of PMUs throughout the system to enable convenient and low-cost communication media. The problem of observability in the communication system is checked along with the optimal placement of PMUs in the power system to reach full observability. A hybrid wireless sensor network including plug-in powered sensor nodes (PPSNs) and energy harvesting sensor nodes (EHSNs) is utilized for increasing the reliability of the communication system. In the proposed co-optimal PMU-sensor placement problem, the main objective is to minimize the total cost of PMU placement and the related communication system, considering full observability of the power system and CI. To achieve better results, the zero-injection bus (ZIB) effect and system observability redundancy index (SORI) are considered as a constraint in the objective function. A binary-coded genetic algorithm is used for solving the proposed mixed-objective optimization problem subject to different technical operating constraints. The proposed method is examined on IEEE 13-bus and IEEE 37-bus test feeder systems. The results show the applicability and effectiveness of the proposed method compared with the conventional methods in this subject area. Full article
(This article belongs to the Special Issue Active Regional Energy Systems and Microgrids)
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17 pages, 3098 KiB  
Article
Risk-Constrained Stochastic Scheduling of a Grid-Connected Hybrid Microgrid with Variable Wind Power Generation
by Mostafa Vahedipour-Dahraie, Homa Rashidizadeh-Kermani and Amjad Anvari-Moghaddam
Electronics 2019, 8(5), 577; https://doi.org/10.3390/electronics8050577 - 25 May 2019
Cited by 11 | Viewed by 2591
Abstract
This paper presents a risk-constrained scheduling optimization model for a grid-connected hybrid microgrid including demand response (DR), electric vehicles (EVs), variable wind power generation and dispatchable generation units. The proposed model determines optimal scheduling of dispatchable units, interactions with the main grid as [...] Read more.
This paper presents a risk-constrained scheduling optimization model for a grid-connected hybrid microgrid including demand response (DR), electric vehicles (EVs), variable wind power generation and dispatchable generation units. The proposed model determines optimal scheduling of dispatchable units, interactions with the main grid as well as adjustable responsive loads and EVs demand to maximize the expected microgrid operator’s profit under different scenarios. The uncertainties of day-ahead (DA) market prices, wind power production and demands of customers and EVs are considered in this study. To address these uncertainties, conditional value-at-risk (CVaR) as a risk measurement tool is added to the optimization model to evaluate the risk of profit loss and to indicate decision attitudes in different conditions. The proposed method is finally applied to a typical hybrid microgrid with flexible demand-side resources and its applicability and effectives are verified over different working conditions with uncertainties. Full article
(This article belongs to the Special Issue Active Regional Energy Systems and Microgrids)
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