for Electricity Transmission and Distribution Networks
Contents
- PHP programming is used for web-based dynamic system simulation and analysis.
- Simon Agama and Lambros Economou
- unification of dispersed energies
- George Seitan, Radu Porumb, Costin Capsica, and Sorin Grigorescu They developed an island detection method for distributed PV.
- Summary and case study
- Anastasios Kyritsis, Nick Papanikolaou, Stathis Tselepis, and Christos Christodoulou
- PLC technology is utilized in smart grid applications.
- Above the MV network is the DG paradigm.
- G. Chatzis, S. Liviero, and PG Cottis
- There is a connection between new production and electricity.
- Prerequisite: A course taken in Portugal.
- Pg. J.F. Torres, L. Economou, and P. Karampelas
- Robust work-learning control algorithms for uncertainty
- Marina Vassil Ak
- Reduce the power of system oscillations in the best way.
- J.P.S. Mariano, J.A.N. Pombo, MRA Calado
- Jade. Felipe de Souza
- This is a schematic of a three-phase LCL filter for grid-connected PWM.
- A high-voltage converter using bacteria collection optimization
- Ehab HE Bayoumi
- Real-time error correction control on transformer
- Nikolina Petkova, Petar Yakov, and Valeri Mladenov
- The preliminary analysis serves as the bare minimum for assessing the characteristics of voltage drop.
- Marios N. Moussakas.
preface
The Global Electricity Transmission and Distribution Research Program confirms that by 2030, electricity networks will continue to serve an increasing number of people while maintaining traditional safety and product quality, as well as improving costs and environmental performance. Renewable and dispersed generation. Promoting local renewable energy generation necessitates the development of high-quality transmission and distribution networks that demonstrate the multi-source scenario and expansion of renewable energy. Global approaches to achieving the highest environmental advantages and energy savings include competition for electricity sales, electricity market reform, and two-way energy supply. Finally, renewable energy represents an excellent potential for the power business. In today’s energy market, all participants are striving to effectively address the issue in order to gain a competitive advantage. Considering the significant changes and reforms in the energy industry, this book explores smart and innovative solutions to enhance electricity and distribution networks, thereby supporting these changes. Throughout the book, readers will learn about new, effective, and useful software tools for studying electrical systems, the challenges surrounding distributed generation, and the relationship between renewable energy production and ‘electricity.’ The book will cover innovative methods for addressing network and control issues, the deployment and distribution of security and protection networks, the importance of energy storage and quality, the utilization of installed systems in transmission and distribution areas, and, above all, the challenges associated with the energy economy. industry. We thank all reviewers and contributing authors for sharing their expertise and providing useful resources in the production of this book. We are also grateful to Springer for the opportunity to contribute to the advancement and dissemination of the most recent research in modern electronics and power distribution.
This chapter outlines a method for conducting web-based power system simulations using a PHP-based simulation engine. Power system simulation is critical for designing and understanding how an electrical network will function over time without physically installing it. A modular object-oriented PHP program implements the methodology, which computes power flow solutions for electrical networks using the Newton-Raphson method. The architecture of this solution differs significantly from that of existing web-based power systems simulation applications; other solutions use a three-tier structure: web browser, web server scripts, and simulation engine, whereas this solution runs the simulation engine in the web server scripts, resulting in a slimmer two-tier structure. This two-tier structure, as well as the use of PHP, has significant consequences for the server resources necessary to execute the solution, which is becoming increasingly relevant in the age of cloud computing, Software-as-a-Service (SaaS), and smart power networks. The methodology includes the more current PHP capabilities that allow for such analysis but were not present in previous versions of the language. It also explores the use of additional classes, which are necessary to provide mathematical capabilities not present in the language core, in building the simulation engine. The methodology presents a realistic option for doing fundamental power system studies with open-source software.
Introduction
With the rise of cloud computing, Software-as-a-Service (SaaS), and smart grid technologies, web-based simulation (WBS), analysis, and remote control via web browsers like Microsoft Internet Explorer™, Google Chrome™, and Mozilla Firefox™ are becoming increasingly relevant and even necessary in some cases [1, 2]. The information and communication technology infrastructure that supports this service-oriented software architecture has evolved over time, as have the programming languages used to create these applications [3, 4].When this technique is used, web-based simulation means using the tools and resources that the World Wide Web (WWW) offers to interact with modeling and simulation tools on a server (remote computer) and clients (web browsers). Moreover, the definition does not include simulation packages that download from a server to a local computer and run independently of the web browser, underscoring the need for a browser to actively participate in the modeling or simulation process, either as a graphical interface or, crucially, as a container for the simulation numerical engine. Several extensive reviews, such as [1, 5-7], discuss the programming languages, structures, and methodologies used to perform web-based simulations that do not require an application package to be installed and run on a local computer, regardless of the web browser used. They also provide detailed documentation on the benefits and drawbacks of such procedures.The organization of such WBS applications often comprises three or more layers, as seen in Figure 1. The front end tier, also known as the client side, consists of the web browser on the user’s computer or other device, which is used for user input and results display. The middle tier is a remote web server that hosts software written in web programming languages like ASP.NET, PHP: Hypertext Pre-processor (PHP), CGI scripts, or Perlscripts. This server receives the Hypertext Transfer Protocol (HTTP) requests from the web browser, processes them, and then forwards them to the simulation engine, which either resides on The simulation engine, which is an application such as MATLAB, NEPLAN, or ExtendSIM, takes simulation requests and presents the results to the user via the web browser via the web server program [5]. This is how the vast majority of work breakdown structures in many fields operate. The simulation engine is typically developed in a programming language such as Java, C#, Visual Basic, C, or C++, which are used for both desktop and server applications. Essentially, the web versions offer a “window” into the functions of these typically desktop-based software programs, through a component that facilitates this interaction.
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