Smart transactive energy based approach for planning and scheduling in multi-looped microgrid distribution network across planning horizon

Mustafa Tariq; Syed Ali Abbas Kazmi; Abdullah Altamimi; Zafar A Khan; Bader Alharbi; Hamoud Alafnan; Halemah Alshehry

doi:10.1016/j.heliyon.2024.e25408

Smart transactive energy based approach for planning and scheduling in multi-looped microgrid distribution network across planning horizon

Heliyon. 2024 Feb 16;10(5):e25408. doi: 10.1016/j.heliyon.2024.e25408. eCollection 2024 Mar 15.

Authors

Mustafa Tariq¹, Syed Ali Abbas Kazmi¹, Abdullah Altamimi^{2

3}, Zafar A Khan⁴, Bader Alharbi², Hamoud Alafnan⁵, Halemah Alshehry⁶

Affiliations

¹ US-Pakistan Center for Advanced Studies in Energy (USPCAS-E), National University of Sciences and Technology (NUST), H-12, Islamabad, 44000, Pakistan.
² Department of Electrical Engineering, College of Engineering, Majmaah University, Al-Majmaah, 11952, Saudi Arabia.
³ Engineering and Applied Science Research Center, Majmaah University, Al-Majmaah, 11952, Riyadh, Saudi Arabia.
⁴ Department of Electrical Engineering, Mirpur University of Science and Technology, Mirpur, AJK, 10250, Pakistan.
⁵ Department of Electrical Engineering, College of Engineering, University of Ha'il, Ha'il, 55476, Saudi Arabia.
⁶ Department of Educational Sciences and Design, College of Education, Majmaah University, Al-Majmaah, 11952, Saudi Arabia.

Abstract

In this paper, an innovative transactive energy approach is proposed as viable option for coordinated distribution system planning across a certain horizon. The proposed approach is evaluated across a multi-looped (meshed) test system and is implemented with load growth having prosumers participating in the electrical market in transactive energy system aiming at evaluation on techno-economic basis. Apart from prosumer sensitivity analysis, evaluations have been carried across reducing total production cost of energy, reduction in per unit price, active power losses. Whereas improving voltage profile, cost of scheduling and consumer per kWh purchase and sales in comparison with traditional counterpart. The proposed framework includes optimization algorithm aiming at sources scheduling and IEEE 69 system for validation. The algorithm minimizes cost, maximizes energy efficiency, increases renewable energy mix and reduces consumers cost of energy purchase. Reduction of 51.44 % in cost of energy is achieved, whereas loss reduction of 12.6% is achieved. The comparison of IEEE 69-bus base case with the 10 %, 15% and 20% transactive energy applied with simulations to evaluate performance parameters that will directly benefit both prosumers and utility alike in-terms of low bills and further reduction of stress on the grid amid load growth across multiple years.

Keywords: Distribution network; Electric systems; Micro-grid; Power system planning; Power system scheduling; Renewables; Transactive energy.