A Comparative Design of a Campus Microgrid Considering a Multi-Scenario and Multi-Objective Approach

Yongyi Huang, Hasan Masrur, Ryuto Shigenobu, Ashraf Mohamed Hemeida, Alexey Mikhaylov and Tomonobu Senjyu
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Yongyi Huang: Department of Electrical and Electronics Engineering, University of the Ryukyus, Okinawa 903-0213, Japan
Hasan Masrur: Department of Electrical and Electronics Engineering, University of the Ryukyus, Okinawa 903-0213, Japan
Ryuto Shigenobu: Department of Electrical and Electronics Engineering, University of Fukui, 3-9-1 Bunkyo, Fukui 910-8507, Japan
Ashraf Mohamed Hemeida: Electrical Engineering Department, Faculty of Energy Engineering, Aswan University, Aswan 81528, Egypt
Tomonobu Senjyu: Department of Electrical and Electronics Engineering, University of the Ryukyus, Okinawa 903-0213, Japan

Energies, 2021, vol. 14, issue 11, 1-20

Abstract: This article proposes a plan to replace real-time power with constant power from the grid to reduce costs and reduce the impact of the micro-grid on the main grid at the same time. Most of the peak electricity consumption periods of universities or some enterprise institutions are during the daytime. If solar energy can be used reasonably at this time, it can provide a good guarantee of peak power. In this study, a grid-linked solar-plus-storage micro-grid was used to supply power to a university located in Okinawa, Japan. The non-dominated sorting genetic algorithm II (NSGA-II) was used to optimize the model size, and the loss of power supply probability (LPSP), life cycle cost (LCC), and waste of energy (WE) were taken as the optimization indicators. For this study, three scenarios were considered where the first scheme (Case 1) was a comparison scheme, which used a PV battery and real-time power from the infinity bus. Both the second and third cases used constant power. While Case 2 used constant power throughout the year, Case 3 used daily constant power. The optimal solutions for the power supply units were grouped into three cases where Case 1 was found to be the most expensive one. It was found that the costs of Cases 2 and 3 were 62.8% and 63.3% less than Case 1. As a result, the waste of energy was found to be more significant than Case 1: 70 times and 60 times, respectively. On the contrary, Case 1 had 15.2% and 16.7% less carbon emissions than Case 2 and Case 3, respectively. This article put forward the idea of constant power supply growth at the financial markets, which breaks the traditional way in which the power supply side follows the user’s consumption. While reducing costs, it reduces the impact on large-scale power grids and can also ensure the reliability of campus microgrids.

Keywords: NSGA-II; multi-objective optimization; solar/battery/grid; microgrid; peak load shifting; constant power supply (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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