A distributed rule‐based power management strategy in a photovoltaic/hybrid energy storage based on an active compensation filtering technique
Abstract This paper proposes a distributed rule‐based power management strategy for dynamic power balancing and power smoothing in a photovoltaic (PV)/battery‐supercapacitor hybrid energy storage system. The system contains a PV system, a battery‐supercapacitor hybrid energy storage system (HESS), a...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-11-01
|
| Series: | IET Renewable Power Generation |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/rpg2.12263 |
| _version_ | 1797995409347444736 |
|---|---|
| author | Seyyed Ali Ghorashi Khalil Abadi Ali Bidram |
| author_facet | Seyyed Ali Ghorashi Khalil Abadi Ali Bidram |
| author_sort | Seyyed Ali Ghorashi Khalil Abadi |
| collection | DOAJ |
| description | Abstract This paper proposes a distributed rule‐based power management strategy for dynamic power balancing and power smoothing in a photovoltaic (PV)/battery‐supercapacitor hybrid energy storage system. The system contains a PV system, a battery‐supercapacitor hybrid energy storage system (HESS), and a group of loads. Firstly, an active compensation technique is proposed which improves the efficiency of the power smoothing filter. Then, a distributed supervisory control technique is employed that prevents the BESS and SC from SOC violation while maintaining the balance between generation and load. To this end, the system components are divided into three different reactive agents including an HESS agent, a PV agent, and a load agent. These agents react to the system changes by switching their operational mode upon satisfying a predefined rule. To analyse the hybrid dynamical behaviour of the agents and design the supervisory controllers, the agents are modelled in hybrid automata frameworks. It is shown that the proposed distributed approach reduces the complexity of the supervisory control system and increases its scalability compared to its equivalent centralized method. Finally, the performance of the proposed approach is validated using a test system simulated in MATLAB/Simulink. |
| first_indexed | 2024-04-11T10:01:09Z |
| format | Article |
| id | doaj.art-e22bbd1d2cef4c47ba0a71cf4503816a |
| institution | Directory Open Access Journal |
| issn | 1752-1416 1752-1424 |
| language | English |
| last_indexed | 2024-04-11T10:01:09Z |
| publishDate | 2021-11-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Renewable Power Generation |
| spelling | doaj.art-e22bbd1d2cef4c47ba0a71cf4503816a2022-12-22T04:30:25ZengWileyIET Renewable Power Generation1752-14161752-14242021-11-0115153688370310.1049/rpg2.12263A distributed rule‐based power management strategy in a photovoltaic/hybrid energy storage based on an active compensation filtering techniqueSeyyed Ali Ghorashi Khalil Abadi0Ali Bidram1Department of Electrical & Computer Engineering University of New Mexico MSC01 1100, 1 University of New Mexico Albuquerque USADepartment of Electrical & Computer Engineering University of New Mexico MSC01 1100, 1 University of New Mexico Albuquerque USAAbstract This paper proposes a distributed rule‐based power management strategy for dynamic power balancing and power smoothing in a photovoltaic (PV)/battery‐supercapacitor hybrid energy storage system. The system contains a PV system, a battery‐supercapacitor hybrid energy storage system (HESS), and a group of loads. Firstly, an active compensation technique is proposed which improves the efficiency of the power smoothing filter. Then, a distributed supervisory control technique is employed that prevents the BESS and SC from SOC violation while maintaining the balance between generation and load. To this end, the system components are divided into three different reactive agents including an HESS agent, a PV agent, and a load agent. These agents react to the system changes by switching their operational mode upon satisfying a predefined rule. To analyse the hybrid dynamical behaviour of the agents and design the supervisory controllers, the agents are modelled in hybrid automata frameworks. It is shown that the proposed distributed approach reduces the complexity of the supervisory control system and increases its scalability compared to its equivalent centralized method. Finally, the performance of the proposed approach is validated using a test system simulated in MATLAB/Simulink.https://doi.org/10.1049/rpg2.12263Solar power stations and photovoltaic power systemsOther power stations and plantsPower and energy controlControl of electric power systemsOptimisation techniquesPower system management, operation and economics |
| spellingShingle | Seyyed Ali Ghorashi Khalil Abadi Ali Bidram A distributed rule‐based power management strategy in a photovoltaic/hybrid energy storage based on an active compensation filtering technique IET Renewable Power Generation Solar power stations and photovoltaic power systems Other power stations and plants Power and energy control Control of electric power systems Optimisation techniques Power system management, operation and economics |
| title | A distributed rule‐based power management strategy in a photovoltaic/hybrid energy storage based on an active compensation filtering technique |
| title_full | A distributed rule‐based power management strategy in a photovoltaic/hybrid energy storage based on an active compensation filtering technique |
| title_fullStr | A distributed rule‐based power management strategy in a photovoltaic/hybrid energy storage based on an active compensation filtering technique |
| title_full_unstemmed | A distributed rule‐based power management strategy in a photovoltaic/hybrid energy storage based on an active compensation filtering technique |
| title_short | A distributed rule‐based power management strategy in a photovoltaic/hybrid energy storage based on an active compensation filtering technique |
| title_sort | distributed rule based power management strategy in a photovoltaic hybrid energy storage based on an active compensation filtering technique |
| topic | Solar power stations and photovoltaic power systems Other power stations and plants Power and energy control Control of electric power systems Optimisation techniques Power system management, operation and economics |
| url | https://doi.org/10.1049/rpg2.12263 |
| work_keys_str_mv | AT seyyedalighorashikhalilabadi adistributedrulebasedpowermanagementstrategyinaphotovoltaichybridenergystoragebasedonanactivecompensationfilteringtechnique AT alibidram adistributedrulebasedpowermanagementstrategyinaphotovoltaichybridenergystoragebasedonanactivecompensationfilteringtechnique AT seyyedalighorashikhalilabadi distributedrulebasedpowermanagementstrategyinaphotovoltaichybridenergystoragebasedonanactivecompensationfilteringtechnique AT alibidram distributedrulebasedpowermanagementstrategyinaphotovoltaichybridenergystoragebasedonanactivecompensationfilteringtechnique |