Command Governor Strategies for the Online Management of Reactive Power in Smart Grids With Distributed Generation

Casavola, Alessandro; Tedesco, Francesco; Vizza, Maurizio

doi:10.1109/tase.2017.2655460

Cited by 13 publications

(7 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Demand. e grid connection of a high proportion of renewable distributed generators and the access of a variety of timevarying loads on the load side to the distribution network make the source load and both ends of the distribution network uncertain [8].…”

Section: E Uncertainty Of Power Output and Loadmentioning

confidence: 99%

Review on Reactive Power and Voltage Optimization of Active Distribution Network with Renewable Distributed Generation and Time-Varying Loads

et al. 2021

Mathematical Problems in Engineering

View full text Add to dashboard Cite

With a high proportion of renewable distributed generation and time-varying load connected to the distribution network, great challenges have appeared in the reactive power optimization control of the active distribution networks. This paper first introduces the characteristics of active distribution networks, the mechanism and research status of wind power, photovoltaic, and other renewable distributed generators, and time-varying loads participating in reactive power and voltage optimization. Then, the paper summarizes the methods of reactive power optimization and voltage regulation of active distribution network, including multi-timescale voltage optimization, coordinated optimization of network reconfiguration and reactive power optimization, coordinated optimization of active and reactive power optimization based on model predictive control, hierarchical and zoning control of reactive power, and voltage and power electronic switch voltage regulation. The pros and cons of the reactive power optimization algorithms mentioned above are summarized. Finally, combined with the development trend of the energy Internet, the future directions of reactive power and voltage control technology in the active distribution network are discussed.

show abstract

Section: E Uncertainty Of Power Output and Loadmentioning

confidence: 99%

Review on Reactive Power and Voltage Optimization of Active Distribution Network with Renewable Distributed Generation and Time-Varying Loads

et al. 2021

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

“…To sum up, the MGs are modelled as PQ generation nodes with predefined active and reactive power trends, i.e. p mg, * and q mg, * , allowing for active and reactive power set-points variations, ∆p mg, * and ∆q mg, * which must respect predefined capability limits, defined by (27)- (30). It should be considered that some approximations are introduced by the MG equivalent representation.…”

Section: A Modelling Of the Mgs As Equivalent Generatorsmentioning

confidence: 99%

Design of Aggregators for the Day-Ahead Management of Microgrids Providing Active and Reactive Power Services

Bella

Farina

Sandroni

et al. 2020

IEEE Trans. Contr. Syst. Technol.

View full text Add to dashboard Cite

The increasing diffusion of distributed energy generation systems requires the development of new control paradigms for the coordination of micro-generators, storage systems, and loads aimed at maintaining the efficiency and the safe operability of the electricity network. MicroGrids (MGs) are an interesting way to locally manage groups of generation devices, but they cannot singularly provide a significant contribution to sustain the main electricity grid in terms of ancillary services, such as the availability of a minimum amount of power reserve for the frequency regulation. For these reasons, in this paper we propose a framework for the aggregation and coordination of interconnected MGs to provide ancillary services to the main utility. The proposed framework is structured in three main phases. In the first one, a distributed optimization algorithm computes the day-ahead profile of the active power production of the MGs based on the available forecasts of the renewable sources production and the loads absorption. In this phase, scalability of the optimization problem and confidentiality requirements are guaranteed. In the second phase, reactive power flows are scheduled and it is ensured that the active power trends planned in the first phase do not compromise the voltage/current limitations. A final third phase is used to schedule the active and reactive power profiles of the generation units of each MG to make them consistent with the requirements and results of the previous two phases. The developed method is used for control of the IEEE 13-bus system network and the results achieved are thoroughly discussed in terms of performance and scalability properties.

show abstract

“…Here, the developed voltage controller is combined with a conventional droop-based control technique for eliminating the line impedance mismatch. In [5] , [6] , a coordinated control strategy is proposed for reactive power injection with a grid integrated distributed generation (DG) system. This approach coordinates the DGs and controllable devices by constraining system variables under a prescribed operating condition.…”

Section: Introductionmentioning

confidence: 99%

Resource management with kernel-based approaches for grid-connected solar photovoltaic systems

Kurukuru¹,

Haque

Khan

et al. 2021

Heliyon

View full text Add to dashboard Cite

The increasing penetration of photovoltaic (PV) power generation into the distribution grids has resulted in frequent reverse active power flows, rapid fluctuations in voltage magnitudes, and power loss. To overcome these challenges, this paper identifies the resource management of grid-connected PV systems with active and reactive power injection capabilities using smart inverters. This approach is aimed to minimize the voltage deviations and power losses in the grid-connected systems to accommodate the high penetration of PV systems. A kernel-based approach is proposed to learn policies and evaluate the reactive power injections with smart inverters for improving grid profile, minimizing power losses, and maintaining safe operating voltage limits. The proposed approach performs inverter coordination through nonlinear control policies using anticipated scenarios for load and generation. To assess the performance of the proposed approach, numerical simulations are performed with a single-phase grid-connected PV system connected to an IEEE bus system. The results show the effectiveness of the proposed approach in minimizing power losses and achieving a good voltage regulation.

show abstract

Command Governor Strategies for the Online Management of Reactive Power in Smart Grids With Distributed Generation

Cited by 13 publications

References 40 publications

Review on Reactive Power and Voltage Optimization of Active Distribution Network with Renewable Distributed Generation and Time-Varying Loads

Review on Reactive Power and Voltage Optimization of Active Distribution Network with Renewable Distributed Generation and Time-Varying Loads

Design of Aggregators for the Day-Ahead Management of Microgrids Providing Active and Reactive Power Services

Resource management with kernel-based approaches for grid-connected solar photovoltaic systems

Contact Info

Product

Resources

About