Multicast middleware for performance and topology analysis of multimedia grids

Xie, Jerry; Chen, Shaoli; Yang, Zhaobiao

doi:10.1049/joe.2017.0090

Cited by 1 publication

(1 citation statement)

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“…In (Simões et al, 2016), a strategy was recommended for the exchange of information between MGs-cluster to enhance the coordination among the MGs to increase the profit and reduce the operational cost of each member of the cluster. In (Xie et al, 2017), an economicprobabilistic model was presented for the balanced exchange of energy between the MGs-cluster by controlling the energy resources and loads of the MGs.…”

Section: Introductionmentioning

confidence: 99%

Optimal Operation of Isolated Micro-Grids-cluster Via Coalitional Energy Scheduling and Reserve Sharing

et al. 2021

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Microgrids (MG) cluster are isolated from the utility grid but they have the potential to achieve better techno-economic performance by using joint energy and reserve sharing among MGs. This paper proposes a techno-economic framework for the optimal operation of isolated MGs-cluster by scheduling cooperative energy sharing and real-time reserve sharing for ancillary services based on the cooperative game theory. In the day-ahead scheduling, a coalitional sharing scheme is formulated as an adjustable robust optimization (ARO) problem to optimally schedule the energy and reserves of distributed generators (DGs) and energy storage systems (ESSs), thereby responding to the uncertainties of photovoltaic systems, wind turbines, and loads. These uncertainties are the main reason for power system imbalance which is mitigated by regulating the frequency in real-time and a dynamic droop control process is used to realize the reserves in a distributed manner. This control process is embedded into the ARO problem, which is formulated as an affine ARO problem and then transformed into a deterministic optimization problem that is solved by off-shore solvers Apart from the reduction in the operation cost, the frequency restoration can be improved jointly, resulting in the coupled techno-economic contribution of the MGs in the coalition. The contribution of each MG is quantified using shapely value, a cooperative game approach. Simulations are conducted for a case study with 4 MGs and the results demonstrate the merits of the proposed cooperative scheduling scheme.

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Section: Introductionmentioning

confidence: 99%