Optimal and Decentralized Control Strategies for Inverter-Based AC Microgrids
This paper presents two control strategies: (i) An optimal exergy destruction (OXD) controller and (ii) a decentralized power apportionment (DPA) controller. The OXD controller is an analytical, closed-loop optimal feedforward controller developed utilizing exergy analysis to minimize exergy destruc...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-09-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/12/18/3529 |
| _version_ | 1811184020856242176 |
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| author | Michael D. Cook Eddy H. Trinklein Gordon G. Parker Rush D. Robinett Wayne W. Weaver |
| author_facet | Michael D. Cook Eddy H. Trinklein Gordon G. Parker Rush D. Robinett Wayne W. Weaver |
| author_sort | Michael D. Cook |
| collection | DOAJ |
| description | This paper presents two control strategies: (i) An optimal exergy destruction (OXD) controller and (ii) a decentralized power apportionment (DPA) controller. The OXD controller is an analytical, closed-loop optimal feedforward controller developed utilizing exergy analysis to minimize exergy destruction in an AC inverter microgrid. The OXD controller requires a star or fully connected topology, whereas the DPA operates with no communication among the inverters. The DPA presents a viable alternative to conventional <inline-formula> <math display="inline"> <semantics> <mrow> <mi>P</mi> <mo>−</mo> <mi>ω</mi> <mo>/</mo> <mi>Q</mi> <mo>−</mo> <mi>V</mi> </mrow> </semantics> </math> </inline-formula> droop control, and does not suffer from fluctuations in bus frequency or steady-state voltage while taking advantage of distributed storage assets necessary for the high penetration of renewable sources. The performances of OXD-, DPA-, and <inline-formula> <math display="inline"> <semantics> <mrow> <mi>P</mi> <mo>−</mo> <mi>ω</mi> <mo>/</mo> <mi>Q</mi> <mo>−</mo> <mi>V</mi> </mrow> </semantics> </math> </inline-formula> droop-controlled microgrids are compared by simulation. |
| first_indexed | 2024-04-11T13:06:20Z |
| format | Article |
| id | doaj.art-9f288a52e04c4bbeb0387133244f6592 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T13:06:20Z |
| publishDate | 2019-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-9f288a52e04c4bbeb0387133244f65922022-12-22T04:22:45ZengMDPI AGEnergies1996-10732019-09-011218352910.3390/en12183529en12183529Optimal and Decentralized Control Strategies for Inverter-Based AC MicrogridsMichael D. Cook0Eddy H. Trinklein1Gordon G. Parker2Rush D. Robinett3Wayne W. Weaver4Department of Mechanical Engineering, Milwaukee School of Engineering, Milwaukee, WI 53202, USADepartment of Mechanical Engineering & Engineering Mechanics, Michigan Technological University, Houghton, MI 49931, USADepartment of Mechanical Engineering & Engineering Mechanics, Michigan Technological University, Houghton, MI 49931, USADepartment of Mechanical Engineering & Engineering Mechanics, Michigan Technological University, Houghton, MI 49931, USADepartment of Electrical & Computer Engineering, Michigan Technological University, Houghton, MI 49931, USAThis paper presents two control strategies: (i) An optimal exergy destruction (OXD) controller and (ii) a decentralized power apportionment (DPA) controller. The OXD controller is an analytical, closed-loop optimal feedforward controller developed utilizing exergy analysis to minimize exergy destruction in an AC inverter microgrid. The OXD controller requires a star or fully connected topology, whereas the DPA operates with no communication among the inverters. The DPA presents a viable alternative to conventional <inline-formula> <math display="inline"> <semantics> <mrow> <mi>P</mi> <mo>−</mo> <mi>ω</mi> <mo>/</mo> <mi>Q</mi> <mo>−</mo> <mi>V</mi> </mrow> </semantics> </math> </inline-formula> droop control, and does not suffer from fluctuations in bus frequency or steady-state voltage while taking advantage of distributed storage assets necessary for the high penetration of renewable sources. The performances of OXD-, DPA-, and <inline-formula> <math display="inline"> <semantics> <mrow> <mi>P</mi> <mo>−</mo> <mi>ω</mi> <mo>/</mo> <mi>Q</mi> <mo>−</mo> <mi>V</mi> </mrow> </semantics> </math> </inline-formula> droop-controlled microgrids are compared by simulation.https://www.mdpi.com/1996-1073/12/18/3529DC power systemAC power systemoptimal controldecentralized controldistributed controlmicrogridpower system control |
| spellingShingle | Michael D. Cook Eddy H. Trinklein Gordon G. Parker Rush D. Robinett Wayne W. Weaver Optimal and Decentralized Control Strategies for Inverter-Based AC Microgrids Energies DC power system AC power system optimal control decentralized control distributed control microgrid power system control |
| title | Optimal and Decentralized Control Strategies for Inverter-Based AC Microgrids |
| title_full | Optimal and Decentralized Control Strategies for Inverter-Based AC Microgrids |
| title_fullStr | Optimal and Decentralized Control Strategies for Inverter-Based AC Microgrids |
| title_full_unstemmed | Optimal and Decentralized Control Strategies for Inverter-Based AC Microgrids |
| title_short | Optimal and Decentralized Control Strategies for Inverter-Based AC Microgrids |
| title_sort | optimal and decentralized control strategies for inverter based ac microgrids |
| topic | DC power system AC power system optimal control decentralized control distributed control microgrid power system control |
| url | https://www.mdpi.com/1996-1073/12/18/3529 |
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