Distributed Control of DC Grids: Integrating Prosumers’ Motives

Cucuzzella, Michele; Bouman, Thijs; Kosaraju, Krishna Chaitanya; Schuitema, Geertje; Lemmen, Nieke; Zawadzki, Stephanie Johnson; Fischione, Carlo; Steg, Linda; Scherpen, Jacquelien M. A.

doi:10.1109/tpwrs.2021.3109024

Cited by 11 publications

(25 citation statements)

References 41 publications

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“…Following [3] and the references therein, we consider a microgrid consisting of a certain number of distributed generation units (DGUs), equipped with distributed controllers and decision systems. Moreover, we consider that each DGU includes constant impedance and constant current loads, and DGUs are interconnected with each other via distribution power lines.…”

Section: Model Descriptionmentioning

confidence: 99%

“…By connecting the designed controller to the DGU i ∈ N in a passive way (see e.g. [3]), we obtain the following closed-loop system:…”

Section: Algorithm Design and Analysismentioning

confidence: 99%

“…However, compared with the opponent centralized framework, the DCOF requires to pay more attention to the design of the control objectives and deal with the constraints (especially with the coupling constraints). In general, the control objectives for the DC microgrids focus on system-level requirements, e.g., system stability [3] and convergence rate. However, the optimization objectives might focus also on economic aspects, such as maximizing the profit from selling power, minimizing power costs, and reducing power losses.…”

Section: Introductionmentioning

confidence: 99%

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A Distributed control framework for the optimal operation of DC microgrids

Fu¹,

Cucuzzella²,

Cenedese³

et al. 2022

Preprint

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In this paper we propose an original distributed control framework for DC mcirogrids. We first formulate the (optimal) control objectives as an aggregative game suitable for the energy trading market. Then, based on the dual theory, we analyze the equivalent distributed optimal condition for the proposed aggregative game and design a distributed control scheme to solve it. By interconnecting the DC mcirogrid and the designed distributed control system in a power preserving way, we steer the DC microgrid's state to the desired optimal equilibrium, satisfying a predefined set of local and coupling constraints. Finally, based on the singular perturbation system theory, we analyze the convergence of the closed-loop system. The simulation results show excellent performance of the proposed control framework.

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Section: Model Descriptionmentioning

confidence: 99%

“…By connecting the designed controller to the DGU i ∈ N in a passive way (see e.g. [3]), we obtain the following closed-loop system:…”

Section: Algorithm Design and Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Distributed control framework for the optimal operation of DC microgrids

Fu¹,

Cucuzzella²,

Cenedese³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Due to dramatic cost reduction in wind and solar photovoltaic (PV), renewable energy is being increasingly incorporated into power grids [1], [2]. The uncertainty and intermittent of renewable energy generation considerably affect the security operation of power grids [3]. Energy storage technologies are promising options to address these intermittency and uncertainty problems of renewable energy generation through daily and multi-day energy shifting under high penetration of renewable energy [4].…”

Section: Introductionmentioning

confidence: 99%

“…is the relative error, loss Q is the accurate cycle aging cost of BESS by(3), loss Q is the actual cycle aging cost estimated by the proposed model in this paper. The piece-wise linear cycle aging cost model can estimate the cycle aging cost of BESS accurately with enough numbers of segments because more numbers of segments make the approximate function closer to the original function(e.g., between S2 and S3) in Fig.1.…”

mentioning

confidence: 99%

Improved Cycle Aging Cost Model for Battery Energy Storage Systems Considering More Accurate Battery Life Degradation

Zhang¹,

et al. 2022

IEEE Access

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Battery energy storage systems (BESSs) have been widely used in power grids to improve their flexibility and reliability. However, the inevitable battery life degradation is the main cost in BESS operations. Thus, an accurate estimation of battery aging cost is strongly needed to cover the actual cost of BESSs. The existing models of battery life degradation either are not fully accurate to estimate the actual cost or are not solved easily because of their computation nonlinearity. In this paper, a piece-wise linear battery aging cost model with an accurate estimate of battery life degradation for BESSs is proposed to extend battery life and improve battery profits. In our method, the widely-used Arrhenius law is modified to quantify the battery life degradation affected by the depth of cycle. Further, a nonlinear battery cycle aging cost model is developed by finding the derivative of battery life degradation with respect to discharging power, which indicates the battery life degradation rate due to depth of cycle. To reduce the complexity of computation, a piece-wise linearization method is proposed to simplify the battery cycle aging cost model. Finally, the cycle aging cost model with an accurate estimation of battery life degradation is applied to the optimization dispatch in the day-ahead energy and auxiliary service market. The results show that the error of estimating the battery cycle aging cost of BESSs is less than 5% under proper piece-wise segment numbers. The profits are increased by 27% and the battery life is extended by 11% than the fixed cost method.

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