Multi-Agent System for Distributed Management of Microgrids
In market operations, distributed generators (DGs) and price-sensitive loads participate in a microgrid energy market implemented in JADE. Each DG and each price-sensitive load is represented by the respective agents which perform various functions such as scheduling, coordination and market clearin...
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| Autor*in: |
Foo Eddy, Y. S [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: IEEE transactions on power systems - New York, NY : IEEE, 1986, 30(2015), 1, Seite 24-34 |
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| Übergeordnetes Werk: |
volume:30 ; year:2015 ; number:1 ; pages:24-34 |
| Links: |
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| DOI / URN: |
10.1109/TPWRS.2014.2322622 |
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| Katalog-ID: |
OLC1957850590 |
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| 520 | |a In market operations, distributed generators (DGs) and price-sensitive loads participate in a microgrid energy market implemented in JADE. Each DG and each price-sensitive load is represented by the respective agents which perform various functions such as scheduling, coordination and market clearing subject to system, DG and load constraints. Each agent is assigned to one of the several agent objectives which maximizes either DG or load surpluses or both. In simulated operation of a microgrid, hourly power reference signals and load control signals from JADE are passed to DG and load models developed in MATLAB/Simulink using MACSimJX. Simulated operation of DGs and loads are studied by performing simulations under different agent objectives. Results from simulation studies demonstrate the effectiveness of implementing multi-agent system (MAS) in the distributed management of microgrids. | ||
| 650 | 4 | |a Load modeling | |
| 650 | 4 | |a microgrid | |
| 650 | 4 | |a market operations | |
| 650 | 4 | |a Pricing | |
| 650 | 4 | |a multi-agent system | |
| 650 | 4 | |a multi-agent systems | |
| 650 | 4 | |a MATLAB-Simulink | |
| 650 | 4 | |a power engineering computing | |
| 650 | 4 | |a multiagent system | |
| 650 | 4 | |a power generation scheduling | |
| 650 | 4 | |a price-sensitive load | |
| 650 | 4 | |a distributed generators | |
| 650 | 4 | |a Generators | |
| 650 | 4 | |a microgrids | |
| 650 | 4 | |a distributed power generation | |
| 650 | 4 | |a distributed management | |
| 650 | 4 | |a JADE | |
| 650 | 4 | |a power system management | |
| 650 | 4 | |a price-sensitive loads | |
| 650 | 4 | |a Deregulated energy market | |
| 650 | 4 | |a MACSimJX | |
| 650 | 4 | |a Software packages | |
| 650 | 4 | |a distributed generation | |
| 700 | 1 | |a Gooi, H. B |4 oth | |
| 700 | 1 | |a Chen, S. X |4 oth | |
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10.1109/TPWRS.2014.2322622 doi PQ20160617 (DE-627)OLC1957850590 (DE-599)GBVOLC1957850590 (PRQ)c2643-d39d14030dc702e48fb618c22ad331b18b99a1967a9af08183ecfc2e3dfefe6a0 (KEY)0163645620150000030000100024multiagentsystemfordistributedmanagementofmicrogri DE-627 ger DE-627 rakwb eng 620 DNB 53.00 bkl 53.30 bkl Foo Eddy, Y. S verfasserin aut Multi-Agent System for Distributed Management of Microgrids 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier In market operations, distributed generators (DGs) and price-sensitive loads participate in a microgrid energy market implemented in JADE. Each DG and each price-sensitive load is represented by the respective agents which perform various functions such as scheduling, coordination and market clearing subject to system, DG and load constraints. Each agent is assigned to one of the several agent objectives which maximizes either DG or load surpluses or both. In simulated operation of a microgrid, hourly power reference signals and load control signals from JADE are passed to DG and load models developed in MATLAB/Simulink using MACSimJX. Simulated operation of DGs and loads are studied by performing simulations under different agent objectives. Results from simulation studies demonstrate the effectiveness of implementing multi-agent system (MAS) in the distributed management of microgrids. Load modeling microgrid market operations Pricing multi-agent system multi-agent systems MATLAB-Simulink power engineering computing multiagent system power generation scheduling price-sensitive load distributed generators Generators microgrids distributed power generation distributed management JADE power system management price-sensitive loads Deregulated energy market MACSimJX Software packages distributed generation Gooi, H. B oth Chen, S. X oth Enthalten in IEEE transactions on power systems New York, NY : IEEE, 1986 30(2015), 1, Seite 24-34 (DE-627)129582344 (DE-600)232866-5 (DE-576)015075893 0885-8950 nnns volume:30 year:2015 number:1 pages:24-34 http://dx.doi.org/10.1109/TPWRS.2014.2322622 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6819467 http://search.proquest.com/docview/1639328105 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_30 GBV_ILN_70 GBV_ILN_105 GBV_ILN_2014 GBV_ILN_2016 53.00 AVZ 53.30 AVZ AR 30 2015 1 24-34 |
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10.1109/TPWRS.2014.2322622 doi PQ20160617 (DE-627)OLC1957850590 (DE-599)GBVOLC1957850590 (PRQ)c2643-d39d14030dc702e48fb618c22ad331b18b99a1967a9af08183ecfc2e3dfefe6a0 (KEY)0163645620150000030000100024multiagentsystemfordistributedmanagementofmicrogri DE-627 ger DE-627 rakwb eng 620 DNB 53.00 bkl 53.30 bkl Foo Eddy, Y. S verfasserin aut Multi-Agent System for Distributed Management of Microgrids 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier In market operations, distributed generators (DGs) and price-sensitive loads participate in a microgrid energy market implemented in JADE. Each DG and each price-sensitive load is represented by the respective agents which perform various functions such as scheduling, coordination and market clearing subject to system, DG and load constraints. Each agent is assigned to one of the several agent objectives which maximizes either DG or load surpluses or both. In simulated operation of a microgrid, hourly power reference signals and load control signals from JADE are passed to DG and load models developed in MATLAB/Simulink using MACSimJX. Simulated operation of DGs and loads are studied by performing simulations under different agent objectives. Results from simulation studies demonstrate the effectiveness of implementing multi-agent system (MAS) in the distributed management of microgrids. Load modeling microgrid market operations Pricing multi-agent system multi-agent systems MATLAB-Simulink power engineering computing multiagent system power generation scheduling price-sensitive load distributed generators Generators microgrids distributed power generation distributed management JADE power system management price-sensitive loads Deregulated energy market MACSimJX Software packages distributed generation Gooi, H. B oth Chen, S. X oth Enthalten in IEEE transactions on power systems New York, NY : IEEE, 1986 30(2015), 1, Seite 24-34 (DE-627)129582344 (DE-600)232866-5 (DE-576)015075893 0885-8950 nnns volume:30 year:2015 number:1 pages:24-34 http://dx.doi.org/10.1109/TPWRS.2014.2322622 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6819467 http://search.proquest.com/docview/1639328105 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_30 GBV_ILN_70 GBV_ILN_105 GBV_ILN_2014 GBV_ILN_2016 53.00 AVZ 53.30 AVZ AR 30 2015 1 24-34 |
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10.1109/TPWRS.2014.2322622 doi PQ20160617 (DE-627)OLC1957850590 (DE-599)GBVOLC1957850590 (PRQ)c2643-d39d14030dc702e48fb618c22ad331b18b99a1967a9af08183ecfc2e3dfefe6a0 (KEY)0163645620150000030000100024multiagentsystemfordistributedmanagementofmicrogri DE-627 ger DE-627 rakwb eng 620 DNB 53.00 bkl 53.30 bkl Foo Eddy, Y. S verfasserin aut Multi-Agent System for Distributed Management of Microgrids 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier In market operations, distributed generators (DGs) and price-sensitive loads participate in a microgrid energy market implemented in JADE. Each DG and each price-sensitive load is represented by the respective agents which perform various functions such as scheduling, coordination and market clearing subject to system, DG and load constraints. Each agent is assigned to one of the several agent objectives which maximizes either DG or load surpluses or both. In simulated operation of a microgrid, hourly power reference signals and load control signals from JADE are passed to DG and load models developed in MATLAB/Simulink using MACSimJX. Simulated operation of DGs and loads are studied by performing simulations under different agent objectives. Results from simulation studies demonstrate the effectiveness of implementing multi-agent system (MAS) in the distributed management of microgrids. Load modeling microgrid market operations Pricing multi-agent system multi-agent systems MATLAB-Simulink power engineering computing multiagent system power generation scheduling price-sensitive load distributed generators Generators microgrids distributed power generation distributed management JADE power system management price-sensitive loads Deregulated energy market MACSimJX Software packages distributed generation Gooi, H. B oth Chen, S. X oth Enthalten in IEEE transactions on power systems New York, NY : IEEE, 1986 30(2015), 1, Seite 24-34 (DE-627)129582344 (DE-600)232866-5 (DE-576)015075893 0885-8950 nnns volume:30 year:2015 number:1 pages:24-34 http://dx.doi.org/10.1109/TPWRS.2014.2322622 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6819467 http://search.proquest.com/docview/1639328105 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_30 GBV_ILN_70 GBV_ILN_105 GBV_ILN_2014 GBV_ILN_2016 53.00 AVZ 53.30 AVZ AR 30 2015 1 24-34 |
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10.1109/TPWRS.2014.2322622 doi PQ20160617 (DE-627)OLC1957850590 (DE-599)GBVOLC1957850590 (PRQ)c2643-d39d14030dc702e48fb618c22ad331b18b99a1967a9af08183ecfc2e3dfefe6a0 (KEY)0163645620150000030000100024multiagentsystemfordistributedmanagementofmicrogri DE-627 ger DE-627 rakwb eng 620 DNB 53.00 bkl 53.30 bkl Foo Eddy, Y. S verfasserin aut Multi-Agent System for Distributed Management of Microgrids 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier In market operations, distributed generators (DGs) and price-sensitive loads participate in a microgrid energy market implemented in JADE. Each DG and each price-sensitive load is represented by the respective agents which perform various functions such as scheduling, coordination and market clearing subject to system, DG and load constraints. Each agent is assigned to one of the several agent objectives which maximizes either DG or load surpluses or both. In simulated operation of a microgrid, hourly power reference signals and load control signals from JADE are passed to DG and load models developed in MATLAB/Simulink using MACSimJX. Simulated operation of DGs and loads are studied by performing simulations under different agent objectives. Results from simulation studies demonstrate the effectiveness of implementing multi-agent system (MAS) in the distributed management of microgrids. Load modeling microgrid market operations Pricing multi-agent system multi-agent systems MATLAB-Simulink power engineering computing multiagent system power generation scheduling price-sensitive load distributed generators Generators microgrids distributed power generation distributed management JADE power system management price-sensitive loads Deregulated energy market MACSimJX Software packages distributed generation Gooi, H. B oth Chen, S. X oth Enthalten in IEEE transactions on power systems New York, NY : IEEE, 1986 30(2015), 1, Seite 24-34 (DE-627)129582344 (DE-600)232866-5 (DE-576)015075893 0885-8950 nnns volume:30 year:2015 number:1 pages:24-34 http://dx.doi.org/10.1109/TPWRS.2014.2322622 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6819467 http://search.proquest.com/docview/1639328105 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_30 GBV_ILN_70 GBV_ILN_105 GBV_ILN_2014 GBV_ILN_2016 53.00 AVZ 53.30 AVZ AR 30 2015 1 24-34 |
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10.1109/TPWRS.2014.2322622 doi PQ20160617 (DE-627)OLC1957850590 (DE-599)GBVOLC1957850590 (PRQ)c2643-d39d14030dc702e48fb618c22ad331b18b99a1967a9af08183ecfc2e3dfefe6a0 (KEY)0163645620150000030000100024multiagentsystemfordistributedmanagementofmicrogri DE-627 ger DE-627 rakwb eng 620 DNB 53.00 bkl 53.30 bkl Foo Eddy, Y. S verfasserin aut Multi-Agent System for Distributed Management of Microgrids 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier In market operations, distributed generators (DGs) and price-sensitive loads participate in a microgrid energy market implemented in JADE. Each DG and each price-sensitive load is represented by the respective agents which perform various functions such as scheduling, coordination and market clearing subject to system, DG and load constraints. Each agent is assigned to one of the several agent objectives which maximizes either DG or load surpluses or both. In simulated operation of a microgrid, hourly power reference signals and load control signals from JADE are passed to DG and load models developed in MATLAB/Simulink using MACSimJX. Simulated operation of DGs and loads are studied by performing simulations under different agent objectives. Results from simulation studies demonstrate the effectiveness of implementing multi-agent system (MAS) in the distributed management of microgrids. Load modeling microgrid market operations Pricing multi-agent system multi-agent systems MATLAB-Simulink power engineering computing multiagent system power generation scheduling price-sensitive load distributed generators Generators microgrids distributed power generation distributed management JADE power system management price-sensitive loads Deregulated energy market MACSimJX Software packages distributed generation Gooi, H. B oth Chen, S. X oth Enthalten in IEEE transactions on power systems New York, NY : IEEE, 1986 30(2015), 1, Seite 24-34 (DE-627)129582344 (DE-600)232866-5 (DE-576)015075893 0885-8950 nnns volume:30 year:2015 number:1 pages:24-34 http://dx.doi.org/10.1109/TPWRS.2014.2322622 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6819467 http://search.proquest.com/docview/1639328105 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_30 GBV_ILN_70 GBV_ILN_105 GBV_ILN_2014 GBV_ILN_2016 53.00 AVZ 53.30 AVZ AR 30 2015 1 24-34 |
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Foo Eddy, Y. S ddc 620 bkl 53.00 bkl 53.30 misc Load modeling misc microgrid misc market operations misc Pricing misc multi-agent system misc multi-agent systems misc MATLAB-Simulink misc power engineering computing misc multiagent system misc power generation scheduling misc price-sensitive load misc distributed generators misc Generators misc microgrids misc distributed power generation misc distributed management misc JADE misc power system management misc price-sensitive loads misc Deregulated energy market misc MACSimJX misc Software packages misc distributed generation Multi-Agent System for Distributed Management of Microgrids |
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620 DNB 53.00 bkl 53.30 bkl Multi-Agent System for Distributed Management of Microgrids Load modeling microgrid market operations Pricing multi-agent system multi-agent systems MATLAB-Simulink power engineering computing multiagent system power generation scheduling price-sensitive load distributed generators Generators microgrids distributed power generation distributed management JADE power system management price-sensitive loads Deregulated energy market MACSimJX Software packages distributed generation |
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ddc 620 bkl 53.00 bkl 53.30 misc Load modeling misc microgrid misc market operations misc Pricing misc multi-agent system misc multi-agent systems misc MATLAB-Simulink misc power engineering computing misc multiagent system misc power generation scheduling misc price-sensitive load misc distributed generators misc Generators misc microgrids misc distributed power generation misc distributed management misc JADE misc power system management misc price-sensitive loads misc Deregulated energy market misc MACSimJX misc Software packages misc distributed generation |
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Multi-Agent System for Distributed Management of Microgrids |
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In market operations, distributed generators (DGs) and price-sensitive loads participate in a microgrid energy market implemented in JADE. Each DG and each price-sensitive load is represented by the respective agents which perform various functions such as scheduling, coordination and market clearing subject to system, DG and load constraints. Each agent is assigned to one of the several agent objectives which maximizes either DG or load surpluses or both. In simulated operation of a microgrid, hourly power reference signals and load control signals from JADE are passed to DG and load models developed in MATLAB/Simulink using MACSimJX. Simulated operation of DGs and loads are studied by performing simulations under different agent objectives. Results from simulation studies demonstrate the effectiveness of implementing multi-agent system (MAS) in the distributed management of microgrids. |
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In market operations, distributed generators (DGs) and price-sensitive loads participate in a microgrid energy market implemented in JADE. Each DG and each price-sensitive load is represented by the respective agents which perform various functions such as scheduling, coordination and market clearing subject to system, DG and load constraints. Each agent is assigned to one of the several agent objectives which maximizes either DG or load surpluses or both. In simulated operation of a microgrid, hourly power reference signals and load control signals from JADE are passed to DG and load models developed in MATLAB/Simulink using MACSimJX. Simulated operation of DGs and loads are studied by performing simulations under different agent objectives. Results from simulation studies demonstrate the effectiveness of implementing multi-agent system (MAS) in the distributed management of microgrids. |
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In market operations, distributed generators (DGs) and price-sensitive loads participate in a microgrid energy market implemented in JADE. Each DG and each price-sensitive load is represented by the respective agents which perform various functions such as scheduling, coordination and market clearing subject to system, DG and load constraints. Each agent is assigned to one of the several agent objectives which maximizes either DG or load surpluses or both. In simulated operation of a microgrid, hourly power reference signals and load control signals from JADE are passed to DG and load models developed in MATLAB/Simulink using MACSimJX. Simulated operation of DGs and loads are studied by performing simulations under different agent objectives. Results from simulation studies demonstrate the effectiveness of implementing multi-agent system (MAS) in the distributed management of microgrids. |
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