Decentralized Control Strategy for Optimal Energy Management in Grid-Connected and Islanded DC Microgrids
This paper proposes a decentralized control technique to minimize the total operation cost of a DC microgrid in both grid-connected and islanded modes. In this study, a cost-based droop control scheme based on the hourly bids of all participant distributed generators (DGs) and the hourly energy pric...
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| Format: | Article |
| Language: | English |
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Iran University of Science and Technology
2017-12-01
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| Series: | Iranian Journal of Electrical and Electronic Engineering |
| Subjects: | |
| Online Access: | http://ijeee.iust.ac.ir/browse.php?a_code=A-10-690-3&slc_lang=en&sid=1 |
| _version_ | 1819064822566748160 |
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| author | E. Alizadeh A. Motie Birjandi M. Hamzeh |
| author_facet | E. Alizadeh A. Motie Birjandi M. Hamzeh |
| author_sort | E. Alizadeh |
| collection | DOAJ |
| description | This paper proposes a decentralized control technique to minimize the total operation cost of a DC microgrid in both grid-connected and islanded modes. In this study, a cost-based droop control scheme based on the hourly bids of all participant distributed generators (DGs) and the hourly energy price of the utility is presented. An economic power sharing technique among various types of DG units is adopted to appropriately minimize the daily total operation cost of DC microgrid without a microgrid central controller. The DC microgrid may include non-dispatchable DG units (such as photovoltaic systems) and dispatchable generation units. Unlike other energy management techniques, the proposed method suffers neither from forecasting errors for both load demand and renewable energy power prediction modules, nor from complicated optimization techniques. In the proposed method, all DGs and the utility are classified in a sorting rule based on their hourly bids and open market price, and then the droop parameters are determined. The simulation results are presented to verify the effectiveness of the proposed method using MATLAB/SIMULINK software. The results show that the proposed strategy is able to be implemented in various operation conditions of DC microgrid with resistance to uncertainties. |
| first_indexed | 2024-12-21T15:36:41Z |
| format | Article |
| id | doaj.art-86f50a58d51f4d628c1f32131180684e |
| institution | Directory Open Access Journal |
| issn | 1735-2827 2383-3890 |
| language | English |
| last_indexed | 2024-12-21T15:36:41Z |
| publishDate | 2017-12-01 |
| publisher | Iran University of Science and Technology |
| record_format | Article |
| series | Iranian Journal of Electrical and Electronic Engineering |
| spelling | doaj.art-86f50a58d51f4d628c1f32131180684e2022-12-21T18:58:38ZengIran University of Science and TechnologyIranian Journal of Electrical and Electronic Engineering1735-28272383-38902017-12-01134399408Decentralized Control Strategy for Optimal Energy Management in Grid-Connected and Islanded DC MicrogridsE. Alizadeh0A. Motie Birjandi1M. Hamzeh2 Department of Electrical Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran Department of Electrical Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran Department of Electrical Engineering, Shahid Beheshti University, Tehran, Iran This paper proposes a decentralized control technique to minimize the total operation cost of a DC microgrid in both grid-connected and islanded modes. In this study, a cost-based droop control scheme based on the hourly bids of all participant distributed generators (DGs) and the hourly energy price of the utility is presented. An economic power sharing technique among various types of DG units is adopted to appropriately minimize the daily total operation cost of DC microgrid without a microgrid central controller. The DC microgrid may include non-dispatchable DG units (such as photovoltaic systems) and dispatchable generation units. Unlike other energy management techniques, the proposed method suffers neither from forecasting errors for both load demand and renewable energy power prediction modules, nor from complicated optimization techniques. In the proposed method, all DGs and the utility are classified in a sorting rule based on their hourly bids and open market price, and then the droop parameters are determined. The simulation results are presented to verify the effectiveness of the proposed method using MATLAB/SIMULINK software. The results show that the proposed strategy is able to be implemented in various operation conditions of DC microgrid with resistance to uncertainties.http://ijeee.iust.ac.ir/browse.php?a_code=A-10-690-3&slc_lang=en&sid=1Cost-Based Droop Strategy Decentralized Control DC Microgrids Optimal Energy Management. |
| spellingShingle | E. Alizadeh A. Motie Birjandi M. Hamzeh Decentralized Control Strategy for Optimal Energy Management in Grid-Connected and Islanded DC Microgrids Iranian Journal of Electrical and Electronic Engineering Cost-Based Droop Strategy Decentralized Control DC Microgrids Optimal Energy Management. |
| title | Decentralized Control Strategy for Optimal Energy Management in Grid-Connected and Islanded DC Microgrids |
| title_full | Decentralized Control Strategy for Optimal Energy Management in Grid-Connected and Islanded DC Microgrids |
| title_fullStr | Decentralized Control Strategy for Optimal Energy Management in Grid-Connected and Islanded DC Microgrids |
| title_full_unstemmed | Decentralized Control Strategy for Optimal Energy Management in Grid-Connected and Islanded DC Microgrids |
| title_short | Decentralized Control Strategy for Optimal Energy Management in Grid-Connected and Islanded DC Microgrids |
| title_sort | decentralized control strategy for optimal energy management in grid connected and islanded dc microgrids |
| topic | Cost-Based Droop Strategy Decentralized Control DC Microgrids Optimal Energy Management. |
| url | http://ijeee.iust.ac.ir/browse.php?a_code=A-10-690-3&slc_lang=en&sid=1 |
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