Energy Management, Planning and Operation of Distributed Energy Resources in Smart Grids

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

Deadline for manuscript submissions: closed (31 January 2023) | Viewed by 4474

Special Issue Editors


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Guest Editor
1. Department of Electrical and Computer Engineering, Clemson University, Clemson, SC 29634, USA
2. Dayananda Sagar College of Engineering, Bengaluru, Karnataka, India
Interests: power systems; power electronics; smart grid; flexible AC transmission system (FACTS); power system stability; renewable energy system—PV and wind; smart inverters; power quality; distribution systems
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Electrical and Electronics Engineering, University of the Ryukyus, Nishihara, Okinawa 903-0213, Japan
Interests: high-efficiency energy conversion system; renewable energy in small islands; optimization of power system operation and control
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Electrical and Computer Engineering, Clemson University, Clemson, SC 29634, USA
Interests: power distribution systems; power electronics; electric machines; adjustable speed motor drives; electric power quality monitoring; grid connected inverters; renewable energy systems - PV and wind; smart inverters; distributed generation; electronic lighting and control; hardware-in-the-loop grid simulator
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The efficacy of distributed energy resources has made them the crux of the smart grids as the demand of electric energy is increasing steadily across the globe, and further considering the environmental and economic point of view. The presence of distributed energy resources in the form of renewable energy, electric vehicles and distributed storage has given rise to several challenges in terms of security, predictability and the stochastic nature associated with such resources. This requires the utilities to frame several novel approaches that calls for upgrades in the existing infrastructure of the power system, leading to the formation of a smart grid. As the DER penetration and spatial distribution is evolving, communication and information systems have become critical to enable a more intelligent power system. Interoperability standards and integration interfaces between DERs and Electric power systems such as IEC 61850 and IEEE 2030 have become an essential element to handle automation in the utility sector, energy efficiency and reliability.

This Special Issue focuses on the technological advancements in a smart grid in the form of energy management, planning and operational challenges in the presence of distributed energy resources.

Topics of interest for publication include but are not limited to:

  • Smart grid;
  • Renewable energy systems;
  • Electric vehicles (V2G and G2V);
  • Power-electronics based distributed energy resources;
  • Artificial intelligence, machine learning, and IoT in distributed energy resources;
  • Smart inverters;
  • Energy storage technologies.

Dr. Shriram Srinivasarangan Rangarajan
Prof. Dr. Tomonobu Senjyu
Prof. Dr. E. Randolph Collins
Guest Editors

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Keywords

  • distributed energy resources
  • power systems
  • power electronics
  • smart grid
  • electric vehicles
  • renewable generation
  • microgrids
  • optimal planning and operation
  • reliability

Published Papers (3 papers)

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Research

18 pages, 1148 KiB  
Article
Metaheuristic Method for a Wind-Integrated Distribution Network to Support Voltage Stabilisation Employing Electric Vehicle Loads
by Nasir Rehman, Mairaj-Ud Din Mufti and Neeraj Gupta
Appl. Sci. 2023, 13(4), 2254; https://0-doi-org.brum.beds.ac.uk/10.3390/app13042254 - 09 Feb 2023
Cited by 3 | Viewed by 1132
Abstract
Distributed generation (DG) has been incorporated into the distribution networks and, despite the rising prevalence of electric vehicle (EV) loads that are uncertain and cause substantial challenges in their operation, it is necessary to enhance the voltage profile, reduce power losses, and consequently [...] Read more.
Distributed generation (DG) has been incorporated into the distribution networks and, despite the rising prevalence of electric vehicle (EV) loads that are uncertain and cause substantial challenges in their operation, it is necessary to enhance the voltage profile, reduce power losses, and consequently improve the stability of whole networks. The recently proposed beluga whale optimisation algorithm is explored in the optimisation framework to determine the most suitable size of wind turbine generating systems (WTGS), while the optimum placements are determined by minimising the placement index (P-Index) using the distribution load flow (DLF) method. The voltage stability factor (VSF) is employed to formulate the P-Index to enhance voltage sensitivity in distribution systems. The main purpose of this article is to assess the influence of voltage-dependent, uncertain ZIP-form EV loads in order to analyse their potential in the active and reactive power operations of the distribution network while retaining the system voltage within a specified limit by significantly reducing system losses and taking distribution network-level constraints into account. The efficacy of the methodology is validated on the standard IEEE-33 test system by formulating two performance indices to determine a significant enhancement in convergence characteristics and a reduction in system losses. Full article
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14 pages, 1219 KiB  
Article
Energy Bidding Quadratic Model and the Use of the B-Loss Matrix for Determining Consumer Energy Price
by Jangkung Raharjo and Hermagasantos Zein
Appl. Sci. 2022, 12(19), 9743; https://0-doi-org.brum.beds.ac.uk/10.3390/app12199743 - 28 Sep 2022
Viewed by 1190
Abstract
The liberalization trend has led to electric restructuring in market industries. At the start of the 1990s, it was recommended to shift the electricity business from a monopoly to a competitive system. The electric power problem becomes more complex from competition because competitors [...] Read more.
The liberalization trend has led to electric restructuring in market industries. At the start of the 1990s, it was recommended to shift the electricity business from a monopoly to a competitive system. The electric power problem becomes more complex from competition because competitors must be ready to win or lose. The method that has succeeded in determining energy prices in competition is the locational marginal price method implemented by the New York Service Operator. In general, the characteristic of the supplier offers are in step function forms, so optimizing prices and allocating transmission losses are a problem. This paper proposes a method for determining electrical energy prices on the consumer side in each location. The method uses a quadratic approach to perform direct method optimization. The transmission losses are calculated through the B-loss matrix approach, and then allocations of the transmission losses are separated with the proportional method. Simulation results for three locations with six suppliers, as well as on a larger scale (118 buses, 54 generators) were obtained. Full article
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21 pages, 7882 KiB  
Article
Design of Novel HG-SIQBC-Fed Multilevel Inverter for Standalone Microgrid Applications
by Suvetha Poyyamani Sunddararaj, Shriram S. Rangarajan, Subashini Nallusamy, Umashankar Subramaniam, E. Randolph Collins and Tomonobu Senjyu
Appl. Sci. 2022, 12(18), 9347; https://0-doi-org.brum.beds.ac.uk/10.3390/app12189347 - 18 Sep 2022
Cited by 5 | Viewed by 1252
Abstract
The growth of distributed power generation using renewable energy sources has led to the development of new-generation power electronic converters. This is because DC–DC converters and inverters form the fundamental building blocks in numerous applications, which include renewable integrations, energy harvesting, and transportation. [...] Read more.
The growth of distributed power generation using renewable energy sources has led to the development of new-generation power electronic converters. This is because DC–DC converters and inverters form the fundamental building blocks in numerous applications, which include renewable integrations, energy harvesting, and transportation. Additionally, they play a vital role in microgrid applications. The deployment of distributed energy resources (DERs) with renewable sources such as solar has paved the way for microgrid support systems, thus forming an efficient electric grid. To enhance the voltage of such sources and to integrate them into the grid, high-gain DC–DC converters and inverter circuits are required. In this paper, a novel single-switch high-gain converter (HG-SIQBC) with quadratic voltage gain and wide controllable range of load is proposed, the output of which is fed to a modified multilevel inverter for conversion of voltage. The overall performance of the newly designed converter and inverter is analyzed and compared with the existing topologies. A prototype of the investigated multilevel inverter is designed and tested in the laboratory. Development and testing of such novel topologies have become the need of the hour as the grid becomes smarter with increased penetration of distributed resources. Full article
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