IoT Based Approach in a Power System Network for Optimizing Distributed Generation Parameters

Abstract

The objective of this paper is to provide a robust Virtual Power Plant (VPP) network collaborated with Internet of Things (IoT) which uses a conceptual model to integrate each device in the grid. Based on the functionality all the devices which are purely distributed within the grid are networked initially from residential units to substations and up to service data and demand centres. To ensure the trapping of the available power and the efficient transfer of Distributed Generation (DG) power to the grid Distribution Active Control (DAC) strategy is used. Synchronized optimization of DG parameter which includes DG size, location and type are adopted using Dispatch strategy. The case studies are optimized by rescheduling the generation and with load curtailment. Maximized Customer Benefit (MCB) is taken as an objective function and a straight forward solution is given by heuristic search techniques. This method was vindicated in a practical Indian Utility system. This control proposes better performances, ensures reliability and efficiency even under parameter variations along with disturbances which is justified using IEEE 118 bus system and real time Indian utility 63 bus system. Results reveal that the proposed technique proves advantages of low computational intricacy.

Edge Intelligence with Distributed Processing of DNNs: A Survey

“…Smart City Edge computing is a powerful distributed paradigm for processing the distributed big data of cities. The combination of deep learning and edge computing enables the cities to become more economic, green and efficient [54,55].…”

A Review on Intelligent Detection and Classification of Power Quality Disturbances: Trends, Methodologies, and Prospects

“…PQD detection technique was used to locate and classify various disturbances in the grid quickly and accurately [9]. Many researchers have designed and improved detection techniques for different application environments and objects to achieve better detection rates and to ensure the stability of power transmission in the grid [10,11]. This paper divides the PQD detection technique into feature extraction, feature optimization, and intelligent classification.…”

Case Retrieval Strategy of Turning Process Based on Grey Relational Analysis

“…How to achieve metal cutting in a low-cost and high-efficiency way has always been the purpose of machinists, many attempts have been done to improve the cutting efficiency or reduce cost. These include 1) Modifying the cutting item material, such as improvement of tool substrate material [1], coating [2] or both [3]; 2) Optimizing machining processes, such as proper selection of tools [4], development of novel special inserts [5][6][7], and optimization of cutting parameters [8,9]. Among them, improving tool materials and developing novel inserts are not time-saving and cost-friendly, due to the requirement of the complex preparation process and expensive equipment.…”