Renewable generation intermittence and economic dispatch control of autonomous microgrid with distributed sliding mode

This work addresses the Frequency Regulation (FR) and Economic Dispatch (ED) of autonomous Microgrid (MG) with distributed Renewable Energy Agents (REA). The MG possesses low inertia and lacks the natural synchronization capability requiring a fast-convergent control for FR and ED. Moreover, the nonlinear coupled dynamics of MG with unknown network parameter and network topology poses a critical control design challenge. The existing distributed control solutions; possess sluggish response against fluctuating power demand and system-disturbances, based on impractical assumptions and not applicable to generic network topologies. Moreover, the contemporary control schemes are unable to handle the renewable intermittence and fail to converge in presence of volatile production capacities of REA. A Distributed SMC based secondary control is proposed to fulfill the control requirements of MG. A novel decoupling technique is introduced that enables the application of control on generic network topologies with unknown network parameters. A constrained ED solution is derived for renewable agents possessing non-uniform and volatile production capacities and successfully achieved using the proposed control technique. The convergence of proposed control is proved using the Lyapunov Candidate function, while the performance is validated using IEEE 14 bus system and the results are compared with DAI control.

Automated summary

This work addresses the control challenges of Frequency Regulation (FR) and Economic Dispatch (ED) in autonomous Microgrid (MG) with distributed Renewable Energy Agents (REA). A Distributed SMC based secondary control is proposed to fulfill the control requirements of MG, enabling control on generic network topologies with unknown parameters. The proposed control technique successfully achieves constrained Economic Dispatch for renewable agents with non-uniform and volatile production capacities.