Optimization Technique for Renewable Energy Storage Systems for Power Quality Analysis with Connected Grid
Power quality is the main problem with the power system network. Poor electricity quality may cause disruptions and financial challenges for consumers. Additionally, it could cause electronic gadgets to overheat, be damaged, or operate inadvertently. Transformers and other components of the power di...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
|
| Series: | International Transactions on Electrical Energy Systems |
| Online Access: | http://dx.doi.org/10.1155/2023/4675421 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849697622889070592 |
|---|---|
| author | R. Senthil Kumar B. V. S. Acharyulu P. K. Dhal Richa Adlakha Sonu Kumar C. Saravanan Krishna Bikram Shah |
| author_facet | R. Senthil Kumar B. V. S. Acharyulu P. K. Dhal Richa Adlakha Sonu Kumar C. Saravanan Krishna Bikram Shah |
| author_sort | R. Senthil Kumar |
| collection | DOAJ |
| description | Power quality is the main problem with the power system network. Poor electricity quality may cause disruptions and financial challenges for consumers. Additionally, it could cause electronic gadgets to overheat, be damaged, or operate inadvertently. Transformers and other components of the power distribution system may also overheat and experience core saturation. This study investigates potential problems with the quality of the electricity in a photovoltaic linked power system. This paper suggests a new optimization method for day-ahead trading and control in DC microgrid power management (MG). The goal of the multiobjective optimization dispatch (MOOD) problem is to lower overall operational costs as well as the costs associated with power loss in efficient conservation systems and exhaust emission quantities such as nitrogen oxides, sulphur dioxide, and carbon dioxide. Using the weighted sum approach, the multiobjective optimization problem is reduced to a single optimization problem. The analytical hierarchy process (AHP) method is then used to calculate the weight coefficients while accounting for each objective function’s preferences. Power balancing, high levels of renewable energy penetration, the most effective scheduling of battery charging and discharging, control of load curtailment, and the technical limitations of the system are all taken into account when evaluating the system’s performance in both grid-connected and standalone operation modes. The ant lion optimizer (ALO) technique is taken into account to tackle MOOD, comparing the effectiveness of the proposed method to other well-known heuristic optimization techniques. The simulation’s results demonstrate how effectively the proposed strategy can address the coordinated control and optimization dispatch difficulties. They also found that operating the MG system economically in grid-connected mode can save overall costs by roughly 4.70% compared to doing it in independent mode. |
| format | Article |
| id | doaj-art-737658971dc7483194cb72063dc320c4 |
| institution | DOAJ |
| issn | 2050-7038 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Transactions on Electrical Energy Systems |
| spelling | doaj-art-737658971dc7483194cb72063dc320c42025-08-20T03:19:08ZengWileyInternational Transactions on Electrical Energy Systems2050-70382023-01-01202310.1155/2023/4675421Optimization Technique for Renewable Energy Storage Systems for Power Quality Analysis with Connected GridR. Senthil Kumar0B. V. S. Acharyulu1P. K. Dhal2Richa Adlakha3Sonu Kumar4C. Saravanan5Krishna Bikram Shah6Department of Electrical and Electronics EngineeringDepartment of Electrical and Electronics EngineeringDepartment of Electrical and Electronics EngineeringDepartment of Electrical and Electronics EngineeringDepartment of Electronics and Communication EngineeringDepartment of Electrical and Electronics EngineeringDepartment of Computer Science and EngineeringPower quality is the main problem with the power system network. Poor electricity quality may cause disruptions and financial challenges for consumers. Additionally, it could cause electronic gadgets to overheat, be damaged, or operate inadvertently. Transformers and other components of the power distribution system may also overheat and experience core saturation. This study investigates potential problems with the quality of the electricity in a photovoltaic linked power system. This paper suggests a new optimization method for day-ahead trading and control in DC microgrid power management (MG). The goal of the multiobjective optimization dispatch (MOOD) problem is to lower overall operational costs as well as the costs associated with power loss in efficient conservation systems and exhaust emission quantities such as nitrogen oxides, sulphur dioxide, and carbon dioxide. Using the weighted sum approach, the multiobjective optimization problem is reduced to a single optimization problem. The analytical hierarchy process (AHP) method is then used to calculate the weight coefficients while accounting for each objective function’s preferences. Power balancing, high levels of renewable energy penetration, the most effective scheduling of battery charging and discharging, control of load curtailment, and the technical limitations of the system are all taken into account when evaluating the system’s performance in both grid-connected and standalone operation modes. The ant lion optimizer (ALO) technique is taken into account to tackle MOOD, comparing the effectiveness of the proposed method to other well-known heuristic optimization techniques. The simulation’s results demonstrate how effectively the proposed strategy can address the coordinated control and optimization dispatch difficulties. They also found that operating the MG system economically in grid-connected mode can save overall costs by roughly 4.70% compared to doing it in independent mode.http://dx.doi.org/10.1155/2023/4675421 |
| spellingShingle | R. Senthil Kumar B. V. S. Acharyulu P. K. Dhal Richa Adlakha Sonu Kumar C. Saravanan Krishna Bikram Shah Optimization Technique for Renewable Energy Storage Systems for Power Quality Analysis with Connected Grid International Transactions on Electrical Energy Systems |
| title | Optimization Technique for Renewable Energy Storage Systems for Power Quality Analysis with Connected Grid |
| title_full | Optimization Technique for Renewable Energy Storage Systems for Power Quality Analysis with Connected Grid |
| title_fullStr | Optimization Technique for Renewable Energy Storage Systems for Power Quality Analysis with Connected Grid |
| title_full_unstemmed | Optimization Technique for Renewable Energy Storage Systems for Power Quality Analysis with Connected Grid |
| title_short | Optimization Technique for Renewable Energy Storage Systems for Power Quality Analysis with Connected Grid |
| title_sort | optimization technique for renewable energy storage systems for power quality analysis with connected grid |
| url | http://dx.doi.org/10.1155/2023/4675421 |
| work_keys_str_mv | AT rsenthilkumar optimizationtechniqueforrenewableenergystoragesystemsforpowerqualityanalysiswithconnectedgrid AT bvsacharyulu optimizationtechniqueforrenewableenergystoragesystemsforpowerqualityanalysiswithconnectedgrid AT pkdhal optimizationtechniqueforrenewableenergystoragesystemsforpowerqualityanalysiswithconnectedgrid AT richaadlakha optimizationtechniqueforrenewableenergystoragesystemsforpowerqualityanalysiswithconnectedgrid AT sonukumar optimizationtechniqueforrenewableenergystoragesystemsforpowerqualityanalysiswithconnectedgrid AT csaravanan optimizationtechniqueforrenewableenergystoragesystemsforpowerqualityanalysiswithconnectedgrid AT krishnabikramshah optimizationtechniqueforrenewableenergystoragesystemsforpowerqualityanalysiswithconnectedgrid |