Voltage-Based Distributed Optimal Control for Generation Cost Minimization and Bounded Bus Voltage Regulation in DC Microgrids

Peng, Jiangkai; Fan, Bo; Liu, Wenxin

doi:10.1109/tsg.2020.3013303

Cited by 69 publications

(36 citation statements)

References 39 publications

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“…Hence, allowing for the development of more sophisticated models of MG [48]. MG-setup, optimization techniques, and the standard model are considered significant parameters that control the optimal cost of MG [49], [50]. Development Cost and Distribution Network Operator (DNO) Costs estimate the total cost of an MG. Control and protection schemes, types of EESDs, and installation and operational cost of the equipment contribute to development cost.…”

Section: Economic and Market Considerationsmentioning

confidence: 99%

A Review on Microgrids’ Challenges & Perspectives

et al. 2021

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Due to the sheer global energy crisis, concerns about fuel exhaustion, electricity shortages, and global warming are becoming increasingly severe. Solar and wind energy, which are clean and renewable, provide solutions to these problems through distributed generators. Microgrids, as an essential interface to connect the power produced by renewable energy resources-based distributed generators to the power system, have become a research hotspot. Modern research in the field of microgrids has focused on the integration of microgrid technology at the load level. Due to the complexity of protection and control of multiple interconnected distributed generators, the traditional power grids are now outmoded. Microgrids are feasible alternatives to the conventional grid since they provide an integrating platform for micro-resources-based distributed generators, storage equipment, loads, and voltage source converters at the user end, all within a compact footprint. A microgrid can be architected to function either in grid-connected or standalone mode, depending upon the generation, integration potential to the main grid, and consumers' requirements. The amalgamation of distributed energy resources-based microgrids to the conventional power system is giving rise to a new power framework. Nevertheless, the grids' control, protection, operational stability, and reliability are major concerns. There has yet to be an effective real-time implementation and commercialization of micro-grids. This review article summarizes various concerns associated with microgrids' technical and economic aspects and challenges, power flow controllers, microgrids' role in smart grid development, main flaws, and future perspectives.

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Section: Economic and Market Considerationsmentioning

confidence: 99%

A Review on Microgrids’ Challenges & Perspectives

et al. 2021

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“…To reduce the communication burden and to reach faster convergence under this controller, it has respectively been modified to event-triggered and finite-time versions in [7] and [8]. In [9], a distributed optimal control scheme is proposed under which the DGs can achieve economic current-sharing. Therein, to overcome the initialization and noise robustness problems related to dynamic consensus-based estimation, a modified dynamic consensus-based average voltage observer is used which determines the voltage reference of converters so that the DG currents are shared properly.…”

Section: A Existing Literature and Research Gapmentioning

confidence: 99%

Distributed Control and Optimization of DC Microgrids: A Port-Hamiltonian Approach

Abdolmaleki¹,

Bergna-Diaz²

2021

Preprint

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This article proposes a distributed secondary control scheme that drives a dc microgrid to an equilibrium point where the generators share optimal currents, and their voltages have a weighted average of nominal value. The scheme does not rely on the electric system topology nor its specifications; it guarantees plug-and-play design and functionality of the generators. First, the incremental model of the microgrid system with constant impedance, current, and power devices is shown to admit a port-Hamiltonian (pH) representation, and its passive output is determined. The economic dispatch problem is then solved by the Lagrange multipliers method; the Karush-Kuhn-Tucker conditions and weighted average formation of voltages are then formulated as the control objectives. We propose a control scheme that is based on the Control by Interconnection design philosophy, where the consensus-based controller is viewed as a virtual pH system to be interconnected with the physical one. We prove the regional asymptotic stability of the closedloop system using Lyapunov and LaSalle theorems. Equilibrium analysis is also conducted based on the concepts of graph theory and economic dispatch. Finally, the effectiveness of the presented scheme for different case studies is validated with a test microgrid system, simulated in both MATLAB/Simulink and OPAL-RT environments.

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“…To enhance energy efficiency and reliability, distributed optimizations are implemented for dc microgrids to minimize the operation loss [28]- [30]. Nevertheless, optimization and control are performed at different time scales in these methods, which makes it hard to realize real-time optimization in dc microgrids [31]. This is mainly because the optimization is implemented periodically to obtain the optimal bus voltage or output current references for given operating conditions [32], which will unavoidably deviate from the actual ones.…”

Section: Introductionmentioning

confidence: 99%