Energy management system using double layer approach for residential micro-grid system
This project proposes a double-layer coordination of energy management system (EMS) in stand-alone mode micro-grid (MG) system that considering demand response (DR) scheme in order to reduce electricity cost at power and demand side. The main advantage of this method is that the coordination between...
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Main Author: | |
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Format: | Thesis |
Language: | English |
Published: |
2020
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/93008/1/SyahirahAqilahAbuMSKE2020.pdf |
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Summary: | This project proposes a double-layer coordination of energy management system (EMS) in stand-alone mode micro-grid (MG) system that considering demand response (DR) scheme in order to reduce electricity cost at power and demand side. The main advantage of this method is that the coordination between power side and demand side can be ensured. While ensuring that operations at power side is economically controlled, the satisfaction of load demands can also be achieved. In this work, two strategies has been implemented, load shifting process based on pricing strategy as well as micro sources scheduling strategy. The performance of proposed approach will be tested based on two different load conditions; fixed and varies load conditions. For first layer EMS, the goal is to reduce the electricity bill through load shifting process. Therefore, each house will experience 5 different selective modes of operation during the load shifting process and then the electricity bill can be determined. Then, the load profile from all 20 houses is used as input to the second layer EMS. In this layer, the aim is to ensure that the MG operates economically while ensuring a continuous electricity supply to demand. Later, the operation and maintenance (O&M) cost of MG will be determined. From first layer strategy, the maximum cost saving of electricity bill is 4.96%. In the second layer EMS, the cost of O&M saving for fixed load condition is 1.92% and for varies load condition is 4.58%. Therefore, the proposed approach has achieved the objective of this research which is reducing the cost of electricity at demand and power side. |
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