A Novel Algorithm for Day-Ahead Real Time Pricing for Energy Management in Smart Grid.
Ismael, I., Saeed, M., Kaddah, S., Abdelkader, S. (2020). A Novel Algorithm for Day-Ahead Real Time Pricing for Energy Management in Smart Grid.. EKB Journal Management System, 42(3), 9-16. doi: 10.21608/bfemu.2020.98142
Islam Mohamed Ismael; Mohammed Saeed; Sahar Sedky Kaddah; Sobhy Mohamed Abdelkader. "A Novel Algorithm for Day-Ahead Real Time Pricing for Energy Management in Smart Grid.". EKB Journal Management System, 42, 3, 2020, 9-16. doi: 10.21608/bfemu.2020.98142
Ismael, I., Saeed, M., Kaddah, S., Abdelkader, S. (2020). 'A Novel Algorithm for Day-Ahead Real Time Pricing for Energy Management in Smart Grid.', EKB Journal Management System, 42(3), pp. 9-16. doi: 10.21608/bfemu.2020.98142
Ismael, I., Saeed, M., Kaddah, S., Abdelkader, S. A Novel Algorithm for Day-Ahead Real Time Pricing for Energy Management in Smart Grid.. EKB Journal Management System, 2020; 42(3): 9-16. doi: 10.21608/bfemu.2020.98142

A Novel Algorithm for Day-Ahead Real Time Pricing for Energy Management in Smart Grid.

MEJ- Mansoura Engineering Journal
Article 10, Volume 42, Issue 3, September 2017, Page 9-16  XML PDF (1.36 MB)
Document Type: Research Studies
DOI: 10.21608/bfemu.2020.98142
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Authors
Islam Mohamed Ismael email 1; Mohammed Saeed1; Sahar Sedky Kaddah2; Sobhy Mohamed Abdelkader3
1Dept. of Electrical Engineering, Faculty of Engineering, Mansoura University, Egypt
2Prof, Electrical Engineering Department, Faculty of Engineering Mansoura University, Egypt, She is the head of Electrical Engineering Department
3Electrical Engineering Department, Mansoura University, Mansoura, Egypt
Abstract
The main objective of Energy Management is to produce demanded power with least cost and least environmental effect. This paper presents a novel algorithm for reshaping the load demand profile via day ahead hourly pricing. The day ahead hourly price schedule is determined in such a way that encourages customers to modify as much as possible of their consumption profile according to renewable energy availability. The proposed technique is composed of three optimization problems based on Non Linear Programming (NLP) solver using Sequential Dynamic Programming (SDP) algorithm. The first one is to determine the optimal consumption pattern for each load type that improves the utilization of the conventional generation through minimizing its peak to average ratio (PAR). The second is to determine the optimal price signal, which maximizes customer saving after following that optimal consumption pattern. The last one is the customer test for minimum consumption cost. The Performance of the proposed algorithm is verified by applying it to a low voltage benchmark of a smart grid with residential, commercial, and industrial loads. The simulation results proved the effectiveness of the new proposed technique for achieving optimal energy management
Keywords
Energy Systems; Demand Side Management; Renewable Energy Sources
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