Intelligent distribution planning and control incorporating microgrids
This paper proposes a comprehensive approach to the planning of distribution networks and the control of microgrids. Firstly, a Modified Discrete Particle Swarm Optimization (MDPSO) method is used to optimally plan a distribution system upgrade over a 20 year planning period. The optimization is con...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Conference Paper |
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Institute of Electrical and Electronics Engineers ( IEEE )
2011
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| Online Access: | http://hdl.handle.net/20.500.11937/5315 |
| _version_ | 1848744762965753856 |
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| author | Wishart, M. Dewadasa, M. Ziari, I. Ledwich, G. Ghosh, Arindam |
| author2 | - |
| author_facet | - Wishart, M. Dewadasa, M. Ziari, I. Ledwich, G. Ghosh, Arindam |
| author_sort | Wishart, M. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper proposes a comprehensive approach to the planning of distribution networks and the control of microgrids. Firstly, a Modified Discrete Particle Swarm Optimization (MDPSO) method is used to optimally plan a distribution system upgrade over a 20 year planning period. The optimization is conducted at different load levels according to the anticipated load duration curve and integrated over the system lifetime in order to minimize its total lifetime cost. Since the optimal solution contains Distributed Generators (DGs) to maximize reliability, the DG must be able to operate in islanded mode and this leads to the concept of microgrids. Thus the second part of the paper reviews some of the challenges of microgrid control in the presence of both inertial (rotating direct connected) and non-inertial (converter interfaced) DGs. More specifically enhanced control strategies based on frequency droop are proposed for DGs to improve the smooth synchronization and real power sharing minimizing transient oscillations in the microgrid. Simulation studies are presented to show the effectiveness of the control. |
| first_indexed | 2025-11-14T06:06:37Z |
| format | Conference Paper |
| id | curtin-20.500.11937-5315 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:06:37Z |
| publishDate | 2011 |
| publisher | Institute of Electrical and Electronics Engineers ( IEEE ) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-53152017-02-28T01:29:48Z Intelligent distribution planning and control incorporating microgrids Wishart, M. Dewadasa, M. Ziari, I. Ledwich, G. Ghosh, Arindam - This paper proposes a comprehensive approach to the planning of distribution networks and the control of microgrids. Firstly, a Modified Discrete Particle Swarm Optimization (MDPSO) method is used to optimally plan a distribution system upgrade over a 20 year planning period. The optimization is conducted at different load levels according to the anticipated load duration curve and integrated over the system lifetime in order to minimize its total lifetime cost. Since the optimal solution contains Distributed Generators (DGs) to maximize reliability, the DG must be able to operate in islanded mode and this leads to the concept of microgrids. Thus the second part of the paper reviews some of the challenges of microgrid control in the presence of both inertial (rotating direct connected) and non-inertial (converter interfaced) DGs. More specifically enhanced control strategies based on frequency droop are proposed for DGs to improve the smooth synchronization and real power sharing minimizing transient oscillations in the microgrid. Simulation studies are presented to show the effectiveness of the control. 2011 Conference Paper http://hdl.handle.net/20.500.11937/5315 Institute of Electrical and Electronics Engineers ( IEEE ) restricted |
| spellingShingle | Wishart, M. Dewadasa, M. Ziari, I. Ledwich, G. Ghosh, Arindam Intelligent distribution planning and control incorporating microgrids |
| title | Intelligent distribution planning and control incorporating microgrids |
| title_full | Intelligent distribution planning and control incorporating microgrids |
| title_fullStr | Intelligent distribution planning and control incorporating microgrids |
| title_full_unstemmed | Intelligent distribution planning and control incorporating microgrids |
| title_short | Intelligent distribution planning and control incorporating microgrids |
| title_sort | intelligent distribution planning and control incorporating microgrids |
| url | http://hdl.handle.net/20.500.11937/5315 |