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| Content Provider | IET Digital Library |
|---|---|
| Author | Latif, Abdul Das, Dulal Chandra Barik, Amar Kumar Ranjan, Sudhanshu |
| Abstract | This study proposes an earliest approach toward coordinated frequency stabilisation of wind turbine driven generator-tidal power generation-biodiesel driven generator-micro-turbine generator-based islanded two-area interconnected microgrid system with demand response support (DRS) mechanism. A recent bio-inspired optimisation technique, named yellow saddle goatfish algorithm (YSGA) is employed to optimally tune the controller gains. The comparative dynamic performance of conventional proportional–integral–derivative (CPID), fractional order (FO) PID, dual-stage PIFOD-one plus PI [PIFOD-(1 + PI)] controllers’ parameters optimised by several algorithmic tools such as particle swarm optimisation, firefly algorithmic tool, salp swarm technique and YSGA clearly designates the superiority of YSGA-PIFOD-(1 + PI) controller under different scenarios (considering the real-time recorded wind and load data) in terms of change in frequency, tie-line power fluctuation and objective function. Furthermore, the impact of the DRS mechanism in both areas is analysed first time under real-time wind and load disturbances. Finally, the rigorous sensitivity analysis of YSGA-optimised PIFOD-(1 + PI) controller has been conducted with the variation of wind turbine driven generator gain, ±30% change in synchronising tie-line factor, frequency bias value, microgrid system time constant and + 30% change in loading magnitude without retuning the optimal base condition values. |
| Starting Page | 1074 |
| Ending Page | 1086 |
| Page Count | 13 |
| ISSN | 17521416 |
| Volume Number | 14 |
| e-ISSN | 17521424 |
| Issue Number | Issue 6, Apr (2020) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-rpg/14/6 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2019.0940 |
| Journal | IET Renewable Power Generation |
| Publisher Date | 2020-01-13 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Bio-inspired Optimisation Technique Biodiesel Driven Generator Comparative Dynamic Performance Control of Electric Power System Controller Gain Coordinated Frequency Stabilisation Demand Response Support Mechanism Demand Side Management Distributed Power Generation DRS Mechanism Dual-stage PIFOD-one Plus Controller Fractional Order Frequency Bias Value Frequency Control Load Frequency Control Analysis Load Regulation Microturbine Generator Objective Function Optimisation Optimisation Technique PI Control PID Controller Power Cables Power Generation Control Power System Control Power System Economics Power System Interconnection Power System Managemen Power System Operation Proportional–integral–derivative Controllers Sensitivity Analysis Three-term Control Tidal Power Generation Tie-line Power Fluctuation TurboGenerator Two-area Interconnected Renewable Microgrid System Wind Power Plant Wind Turbine Wind Turbine Driven Generator Gain Yellow Saddle Goatfish Algorithm YSGA YSGA-optimised Dual-stage Controller |
| Content Type | Text |
| Resource Type | Article |
| Subject | Renewable Energy, Sustainability and the Environment |
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