Keywords
Assumeguarantee contracts, microgrids, cyberphysical systems, correctbydesign verification
Context
In power systems in general, and in microgrids in particular, existing approaches are not capable of fully exploiting the potential of CyberPhysical Systems (CPSs) [1], i.e. physical systems augmented with computation and communication infrastructure making it possible to design highly dynamic systems able to perform efficiently under high uncertainty. Considering microgrids as CPSs is one of the means to facilitate the integration of new components (new storage devices, connections with a new microgrid, Plug&Play of renewables, etc). The physical layer comprising of power/energy infrastructures and the cyber layer comprising control, communication, and computation need to be designed to achieve the overall goals of energy sustenance. Thanks to their reconfigurable structure, CPSs can support the definition of the modern power systems as a flexible and resilient composition of microgrids, thus facilitating the possibility to decompose them in more manageable subsystems and to favor the integration of new components.
Contract theory [2,3] is a promising framework for rigorous componentbased design of highly dynamic distributed systems, thus permitting the correctbydesign definition of cyberphysical power systems (CPPSs). Intuitively, a contract is a formal specification consisting of pairs of assumptions and guarantees. A guarantee describes the task that the component must fulfill when its environment (made of other components and of the external environment) satisfies the associated assumption. Hence, assumeguarantee contracts make it possible to design components that can adapt under various working conditions. Moreover, compositional reasoning makes it possible to prove properties of the global system based on the contracts satisfied by its components.
Classical control approaches for power systems are hierarchical, and consider a de facto separation among the control levels according to the time scale of the considered dynamics [4,5]. Nowadays, the underlying hypothesis are outdated due to the integration of high shares of renewables and energy storage systems, and therefore there is a need for a holistic approach for the control hierarchy. Contractbased design is the promising solution for unraveling the full potential of CPPSs by merging the possibility to have correctbydesign verification of stability and synthesis of multilevel controllers.
Scientific work
In this doctoral work, we will develop a refinement method to empower priority of actions among the control levels of microgrids and permit an efficient vertical arrangement of the control hierarchy while enhancing horizontal coordination among the several physical devices composing the microgrid. We target the following microgridoriented results:
• Correctbydesign verification of power systems’ specifications: by considering a microgrid as a CPS in a systematic way since the design phase of the control systems, we will implement a system of systems approach based on contract theory to define the desired specifications with respect to the given components. Then, we will investigate the effects of possible interactions among the components and the optimal configurations with respect to desired requirements.
• Multilevel controller synthesis: given a contract and a component model, synthesize a controller that fulfills the contract. Based on the modeling via contracts and the possible horizontal and vertical interactions, we target considering the hierarchy as a whole for stability purposes and to achieve a global control objective.
In the last year of the thesis, it is expected that the PhD candidate will assist a senior postdoc that will be in charge of implementing the obtained results on experimental tests.
References:
[1] P. Derler, E. A. Lee, and A. Sangiovanni Vincentelli, “Modeling cyber–physical systems,” Proceedings of the IEEE, vol. 100, no. 1, pp. 13–28, 2012.
[2] A. Benveniste, B. Caillaud, D. Nickovic, R. Passerone, J.B. Raclet, P. Reinkemeier, A. SangiovanniVincentelli, W. Damm, T. Henzinger, and K. Larsen, “Contracts for system design,” Foundations and Trends in Electronic Design Automation, vol. 12, no. 23, pp. 124–400, 2018.
[3] A. SangiovanniVincentelli, W. Damm, and R. Passerone, “Taming dr. frankenstein: Contractbased design for cyberphysical systems,” European Journal of Control, vol. 18, no. 3, pp. 217–238, 2012.
[4] M. Farrokhabadi et al., « Microgrid Stability Definitions, Analysis, and Examples, » in IEEE Transactions on Power Systems, vol. 35, no. 1, pp. 1329, Jan. 2020.
[5] A. Iovine, T. Rigaut, G. Damm, E. De Santis, M. D. Di Benedetto, « Power Management for a DC MicroGrid integrating Renewables and Storages », Control Engineering Practice, Volume 85, 2019, Pages 5979, ISSN 09670661.
[6] A. Saoud, A. Girard, and L. Fribourg, “Assumeguarantee contracts for continuoustime systems,” Automatica, vol. 134, p. 109910, 2021.
[7] A. Girard and A. Iovine, “Invariant Sets for AssumeGuarantee Contracts”, to appear in IEEE CDC, 2022.
[8] M. Mirabilio, A. Iovine, E. De Santis, M. D. Di Benedetto and G. Pola, « Scalable Mesh Stability of Nonlinear Interconnected Systems, » in IEEE Control Systems Letters, vol. 6, pp. 968973, 2022.
[9] D. Zonetti, A. Saoud, A. Girard, and L. Fribourg, “A symbolic approach to voltage stability and power sharing in timevarying DC microgrids”. European Control Conference (ECC). IEEE, 2019. p. 903909.
[10] Y. Chen, et al. “Safetycritical control synthesis for network systems with control barrier functions and assumeguarantee contracts”, IEEE Transactions on Control of Network Systems, 2020, vol. 8, no 1, p. 487499.
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