Optimisation framework for the operation of battery storage within solar-rich microgrids
The growing trend of distributed generation, such as solar photovoltaic (PV) systems and small scale wind turbines have promoted the development of microgrids which are highly dependent on renewable energy. Due to the intermittent nature of renewable energy, these microgrids are generally equipped w...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-06-01
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| Series: | IET Smart Grid |
| Subjects: | |
| Online Access: | https://digital-library.theiet.org/content/journals/10.1049/iet-stg.2019.0084 |
| _version_ | 1819052326723256320 |
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| author | Asanga Jayawardana Ashish P. Agalgaonkar Duane A. Robinson Duane A. Robinson Massimo Fiorentini |
| author_facet | Asanga Jayawardana Ashish P. Agalgaonkar Duane A. Robinson Duane A. Robinson Massimo Fiorentini |
| author_sort | Asanga Jayawardana |
| collection | DOAJ |
| description | The growing trend of distributed generation, such as solar photovoltaic (PV) systems and small scale wind turbines have promoted the development of microgrids which are highly dependent on renewable energy. Due to the intermittent nature of renewable energy, these microgrids are generally equipped with energy storage, such as batteries. Batteries are generally operated using fixed control methods, often deviating from the optimal operation. This aspect has created an opportunity to gain improved outcomes for microgrid owners and operators. This research study describes a pathway for designing an optimisation framework which can be used to optimise the charge and discharge operation of battery storage within a microgrid containing a solar PV system. Optimisation is implemented in terms of gaining maximum cost benefit for microgrid owners. The advantages of using model predictive control optimisation compared to fixed control methods for this particular problem, solvers and verification procedures are highlighted. A case study is provided with results including analysis of battery operation, energy usage, and impact on overall tariff. The study describes each step of the control and optimisation platform development ensuring readers to be able to replicate the process utilised. |
| first_indexed | 2024-12-21T12:18:04Z |
| format | Article |
| id | doaj.art-3dfae53b233744e39efd711e079b0bf2 |
| institution | Directory Open Access Journal |
| issn | 2515-2947 |
| language | English |
| last_indexed | 2024-12-21T12:18:04Z |
| publishDate | 2019-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Smart Grid |
| spelling | doaj.art-3dfae53b233744e39efd711e079b0bf22022-12-21T19:04:23ZengWileyIET Smart Grid2515-29472019-06-0110.1049/iet-stg.2019.0084IET-STG.2019.0084Optimisation framework for the operation of battery storage within solar-rich microgridsAsanga Jayawardana0Ashish P. Agalgaonkar1Duane A. Robinson2Duane A. Robinson3Massimo Fiorentini4Australian Power Quality and Reliability Centre, University of WollongongAustralian Power Quality and Reliability Centre, University of WollongongSustainable Buildings Research Centre, University of WollongongSustainable Buildings Research Centre, University of WollongongSustainable Buildings Research Centre, University of WollongongThe growing trend of distributed generation, such as solar photovoltaic (PV) systems and small scale wind turbines have promoted the development of microgrids which are highly dependent on renewable energy. Due to the intermittent nature of renewable energy, these microgrids are generally equipped with energy storage, such as batteries. Batteries are generally operated using fixed control methods, often deviating from the optimal operation. This aspect has created an opportunity to gain improved outcomes for microgrid owners and operators. This research study describes a pathway for designing an optimisation framework which can be used to optimise the charge and discharge operation of battery storage within a microgrid containing a solar PV system. Optimisation is implemented in terms of gaining maximum cost benefit for microgrid owners. The advantages of using model predictive control optimisation compared to fixed control methods for this particular problem, solvers and verification procedures are highlighted. A case study is provided with results including analysis of battery operation, energy usage, and impact on overall tariff. The study describes each step of the control and optimisation platform development ensuring readers to be able to replicate the process utilised.https://digital-library.theiet.org/content/journals/10.1049/iet-stg.2019.0084predictive controldistributed power generationbattery storage plantspower generation controlpower generation economicssolar power stationsoptimisation frameworkbattery storagesolar-rich microgridsdistributed generationsolar photovoltaic systemsrenewable energyenergy storagefixed control methodsoptimal operationdischarge operationsolar pv systemmodel predictive control optimisationbattery operationenergy usagesmall scale wind turbinescharge operationoverall tariff |
| spellingShingle | Asanga Jayawardana Ashish P. Agalgaonkar Duane A. Robinson Duane A. Robinson Massimo Fiorentini Optimisation framework for the operation of battery storage within solar-rich microgrids IET Smart Grid predictive control distributed power generation battery storage plants power generation control power generation economics solar power stations optimisation framework battery storage solar-rich microgrids distributed generation solar photovoltaic systems renewable energy energy storage fixed control methods optimal operation discharge operation solar pv system model predictive control optimisation battery operation energy usage small scale wind turbines charge operation overall tariff |
| title | Optimisation framework for the operation of battery storage within solar-rich microgrids |
| title_full | Optimisation framework for the operation of battery storage within solar-rich microgrids |
| title_fullStr | Optimisation framework for the operation of battery storage within solar-rich microgrids |
| title_full_unstemmed | Optimisation framework for the operation of battery storage within solar-rich microgrids |
| title_short | Optimisation framework for the operation of battery storage within solar-rich microgrids |
| title_sort | optimisation framework for the operation of battery storage within solar rich microgrids |
| topic | predictive control distributed power generation battery storage plants power generation control power generation economics solar power stations optimisation framework battery storage solar-rich microgrids distributed generation solar photovoltaic systems renewable energy energy storage fixed control methods optimal operation discharge operation solar pv system model predictive control optimisation battery operation energy usage small scale wind turbines charge operation overall tariff |
| url | https://digital-library.theiet.org/content/journals/10.1049/iet-stg.2019.0084 |
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