scholarly journals Optimized Charging of PV-Batteries for Households Using Real-Time Pricing Scheme: A Model and Heuristics-Based Implementation

Electronics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 113 ◽  
Author(s):  
Robert Basmadjian
Keyword(s):  
Real Time ◽  
Dynamic Pricing ◽  
Real Life ◽  
Solar Panels ◽  
Smart Meters ◽  
Technological Advances ◽  
Pricing Scheme ◽  
Attractive Option ◽  
Real Time Pricing ◽  
Pv Generation

The combination of solar panels (PV) with energy storage systems (ESS) has been becoming more and more a common practice for households. In this context, the battery of ESS satisfies the needs of the household when PV generation is not present. Recently, dynamic pricing became one of the measures taken to shift the demand. Thanks to technological advances (e.g., smart meters), real-time pricing (RTP) has shown to be the most attractive option in the market, due to the ease of estimating price elasticity over various time periods. We studied a PV-battery system for the case of households which are under RTP scheme. To this end, we described and modeled the underlying system, and compiled an objective function having as an optimization goal, the minimization of the charging cost of the battery. Furthermore, we propose a heuristics-based algorithm that schedules the charging process during cheap periods. To evaluate the amount of savings, we considered a real-life testbed and implemented the proposed algorithm by taking into account different scenarios. The results demonstrate the benefits of households adhering to real-time pricing scheme, where the savings reached 50% in certain cases.

Real-time pricing scheme based on Stackelberg game in smart grid with multiple power retailers

2017 ◽  
Vol 260 ◽  
pp. 149-156 ◽  
Author(s):  
Yeming Dai ◽  
Yan Gao ◽  
Hongwei Gao ◽  
Hongbo Zhu
Keyword(s):  
Smart Grid ◽  
Real Time ◽  
Stackelberg Game ◽  
Pricing Scheme ◽  
Multiple Power ◽  
Real Time Pricing

scholarly journals A real-time pricing scheme considering load uncertainty and price competition in smart grid market

2020 ◽  
Vol 16 (2) ◽  
pp. 777-793
Author(s):  
Yeming Dai ◽  
◽  
Yan Gao ◽  
Hongwei Gao ◽  
Hongbo Zhu ◽  
...  
Keyword(s):  
Smart Grid ◽  
Real Time ◽  
Price Competition ◽  
Load Uncertainty ◽  
Pricing Scheme ◽  
Real Time Pricing ◽  
Grid Market

scholarly journals OptiMEMS: An Adaptive Lightweight Optimal Microgrid Energy Management System Based on the Novel Virtual Distributed Energy Resources in Real-Life Demonstration

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2752
Author(s):  
Angelina D. Bintoudi ◽  
Lampros Zyglakis ◽  
Apostolos C. Tsolakis ◽  
Paschalis A. Gkaidatzis ◽  
Athanasios Tryferidis ◽  
...  
Keyword(s):  
Real Time ◽  
Energy Management ◽  
Smart Grids ◽  
Real Life ◽  
Building Blocks ◽  
Optimal Scheduling ◽  
Storage Unit ◽  
Time Operation ◽  
Real Time Operation ◽  
Pv Generation

As microgrids have gained increasing attention over the last decade, more and more applications have emerged, ranging from islanded remote infrastructures to active building blocks of smart grids. To optimally manage the various microgrid assets towards maximum profit, while taking into account reliability and stability, it is essential to properly schedule the overall operation. To that end, this paper presents an optimal scheduling framework for microgrids both for day-ahead and real-time operation. In terms of real-time, this framework evaluates the real-time operation and, based on deviations, it re-optimises the schedule dynamically in order to continuously provide the best possible solution in terms of economic benefit and energy management. To assess the solution, the designed framework has been deployed to a real-life microgrid establishment consisting of residential loads, a PV array and a storage unit. Results demonstrate not only the benefits of the day-ahead optimal scheduling, but also the importance of dynamic re-optimisation when deviations occur between forecasted and real-time values. Given the intermittency of PV generation as well as the stochastic nature of consumption, real-time adaptation leads to significantly improved results.

scholarly journals REAL TIME PRICING BASED POWER SCHEDULING FOR DOMESTIC LOAD IN SMART GRID

2013 ◽  
pp. 226-232
Author(s):  
HEMANT JOSHI ◽  
V J PANDYA
Keyword(s):  
Real Time ◽  
Peak Load ◽  
Load Condition ◽  
Point Of View ◽  
Smart Meters ◽  
Cost Of Energy ◽  
Distribution Company ◽  
Automated Meter Reading ◽  
Real Time Pricing ◽  
Save Energy

The concept of shaping domestic and commercial loads can be an effective way of controlling the load profile of a distribution company. Flat energy rates don’t provide incentives to customers to use power as would be optimal from a utility point of view. Price of energy should be fluctuating according to peak or off peak load condition. Smart meters can offer solution to this by allowing sophisticated measurement of consumption and using real time pricing (RTP) signals sent by utility. The consumer can minimize their expenses on energy by adjusting their intelligent appliances operation. Home Energy Controllers (HEC) control appliances at domestic and commercial consumer’s premises to save energy, reduce cost, increase reliability, efficiency and transparency. In this paper different automated meter reading (AMR) technologies and architecture of smart meter are discussed. Appliance scheduling approach is realized here with help of MATLAB simulation to keep the peak power demand for the homes below target value and reduce the cost of energy

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