Real-Time Algorithm based Intelligent EV Parking Lot Charging Management Strategy Providing PLL Type Demand Response Program

2020 ◽  
pp. 1-1
Author(s):  
Ibrahim Sengor ◽  
Sitki Guner ◽  
Ozan Erdinc
Keyword(s):  
Real Time ◽  
Demand Response ◽  
Management Strategy ◽  
Time Algorithm ◽  
Parking Lot ◽  
Demand Response Program

scholarly journals Techno-Economic Planning and Operation of the Microgrid Considering Real-Time Pricing Demand Response Program

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4597
Author(s):  
Zi-Xuan Yu ◽  
Meng-Shi Li ◽  
Yi-Peng Xu ◽  
Sheraz Aslam ◽  
Yuan-Kang Li
Keyword(s):  
Real Time ◽  
Demand Response ◽  
Positive Impact ◽  
Environmental Aspects ◽  
Component Size ◽  
Cost Of Energy ◽  
Four Seasons ◽  
Demand Response Program ◽  
Real Time Pricing

The optimal planning of grid-connected microgrids (MGs) has been extensively studied in recent years. While most of the previous studies have used fixed or time-of-use (TOU) prices for the optimal sizing of MGs, this work introduces real-time pricing (RTP) for implementing a demand response (DR) program according to the national grid prices of Iran. In addition to the long-term planning of MG, the day-ahead operation of MG is also analyzed to get a better understanding of the DR program for daily electricity dispatch. For this purpose, four different days corresponding to the four seasons are selected for further analysis. In addition, various impacts of the proposed DR program on the MG planning results, including sizing and best configuration, net present cost (NPC) and cost of energy (COE), and emission generation by the utility grid, are investigated. The optimization results show that the implementation of the DR program has a positive impact on the technical, economic, and environmental aspects of MG. The NPC and COE are reduced by about USD 3700 and USD 0.0025/kWh, respectively. The component size is also reduced, resulting in a reduction in the initial cost. Carbon emissions are also reduced by 185 kg/year.

scholarly journals A Real Time Algorithm for Versatile Mode Parking System and Its Implementation on FPGA Board

2022 ◽  
Vol 12 (2) ◽  
pp. 655
Author(s):  
Baligh Naji ◽  
Chokri Abdelmoula ◽  
Mohamed Masmoudi
Keyword(s):  
Real Time ◽  
Evaluation Process ◽  
Time Algorithm ◽  
Hardware Description Language ◽  
Optimal Solutions ◽  
Description Language ◽  
Parking System ◽  
Parking Lot ◽  
Field Programmable ◽  
Hardware Description

This paper presents the design and development of a technique for an Autonomous and Versatile mode Parking System (AVPS) that combines a various number of parking modes. The proposed approach is different from that of many developed parking systems. Previous research has focused on choosing only a parking lot starting from two parking modes (which are parallel and perpendicular). This research aims at developing a parking system that automatically chooses a parking lot starting from four parking modes. The automatic AVPS was proposed for the car-parking control problem, and could be potentially exploited for future vehicle generation. A specific mode can be easily computed using the proposed strategy. A variety of candidate modes could be generated using one developed real time VHDL (VHSIC Hardware Description Language) algorithm providing optimal solutions with performance measures. Based on simulation and experimental results, the AVPS is able to find and recognize in advance which parking mode to select. This combination describes full implementation on a mobile robot, such as a car, based on a specific FPGA (Field-Programmable Gate Array) card. To prove the effectiveness of the proposed innovation, an evaluation process comparing the proposed technique with existing techniques was conducted and outlined.

Energy trading and control of islanded DC microgrid using multi-agent systems

2021 ◽  
Vol 17 (2) ◽  
pp. 113-128
Author(s):  
Diana Rwegasira ◽  
Imed Ben Dhaou ◽  
Masoumeh Ebrahimi ◽  
Anders Hallén ◽  
Nerey Mvungi ◽  
...  
Keyword(s):  
Real Time ◽  
Demand Response ◽  
Dynamic Pricing ◽  
Energy Sector ◽  
Load Shedding ◽  
Dc Microgrid ◽  
Energy Trading ◽  
Development Framework ◽  
Demand Response Program ◽  
Multi Agent

The energy sector is experiencing a revolution that is fuelled by a multitude of factors. Among them are the aging grid system, the need for cleaner energy and the increasing demands on energy sector. The demand-response program is an advanced feature in smart grid that strives to match suppliers to their demands using price-based and incentive programs. The objective of the work is to analyse the performance of the load shedding technique using dynamic pricing algorithm. The system was designed using multi-agent system (MAS) for a DC microgrid capable of real-time monitoring and controlling of power using price-based demand-response program. As a proof of concept, the system was implemented using intelligent physical agents, Java Agent Development Framework (JADE), and agent simulation platform (REPAST) with two residential houses (non-critical loads) and one hospital (critical load). The architecture has been implemented using embedded devices, relays, and sensors to control the operations of load shedding and energy trading in residential areas that have no access to electricity. The measured results show that the system can shed the load with the latency of less than 600 ms, and energy cost saving with an individual houses by 80% of the total cost with 2USD per day. The outcome of the studies demonstrates the effectiveness of the proposed multi-agent approach for real-time operation of a microgrid and the implementation of demand-response program.

scholarly journals Implementation of a Demand-Side Management Solution for South Korea’s Demand Response Program

2020 ◽  
Vol 10 (5) ◽  
pp. 1751 ◽  
Author(s):  
Wonsuk Ko ◽  
Hamsakutty Vettikalladi ◽  
Seung-Ho Song ◽  
Hyeong-Jin Choi
Keyword(s):  
South Korea ◽  
Real Time ◽  
Demand Response ◽  
Mean Squared Error ◽  
Demand Side Management ◽  
Demand Side ◽  
Root Mean Squared Error ◽  
Squared Error ◽  
Demand Response Program ◽  
Relative Root

In this paper, we show the development of a demand-side management solution (DSMS) for demand response (DR) aggregator and actual demand response operation cases in South Korea. To show an experience, Korea’s demand response market outline, functions of DSMS, real contracted capacity, and payment between consumer and load aggregator and DR operation cases are revealed. The DSMS computes the customer baseline load (CBL), relative root mean squared error (RRMSE), and payments of the customers in real time. The case of 10 MW contracted customers shows 108.03% delivery rate and a benefit of 854,900,394 KRW for two years. The results illustrate that an integrated demand-side management solution contributes by participating in a DR market and gives a benefit and satisfaction to the consumer.

Optimum residential load management strategy for real time pricing (RTP) demand response programs

Energy Policy ◽  
2012 ◽  
Vol 45 ◽  
pp. 671-679 ◽  
Author(s):  
Juan M. Lujano-Rojas ◽  
Cláudio Monteiro ◽  
Rodolfo Dufo-López ◽  
José L. Bernal-Agustín
Keyword(s):  
Real Time ◽  
Demand Response ◽  
Management Strategy ◽  
Load Management ◽  
Real Time Pricing ◽  
Demand Response Programs
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