Abstract
With the increasing penetration of distributed renewable generations (DRGs), microgrids will play an important role in the future power system. This paper studies the coordinated scheduling strategy of networked microgrids with private data exchange limitations and local management independence. Based on an adaptive robust optimization method, a coordinated scheduling model of networked systems considering the uncertainty of renewable generations is established. Then distributed algorithms are developed to meet the needs of data privacy protection of individual microgrids. The Augmented Lagrangian (AL) decomposition method decomposes the model into several sub-problems, and an alternate optimization method is developed to speed up the solution. Case studies demonstrate the effectiveness of the proposed model and the solution methods.
Highlights
To peruse carbo neutrality, various distributed renewable generations (DRGs) are rapidly increasing, and microgrids are gaining in importance in countries and regions where the power supply is gradually reducing dependence on traditional energy sources like coal-fired units (Lee et al, 2015; Li X et al, 2016)
The tie-line flow schedules are given in Figure 9, where a positive power refers to tie-line flow withdrawing from microgrid I and injecting into microgrid II
At on-peak hours, the local distributed generations (DGs) can hardly supply all the loads in microgrid II, it is necessary to import energy from microgrid I to microgrid II, and the tie-line schedules are positive at these hours
Summary
Various distributed renewable generations (DRGs) are rapidly increasing, and microgrids are gaining in importance in countries and regions where the power supply is gradually reducing dependence on traditional energy sources like coal-fired units (Lee et al, 2015; Li X et al, 2016). This work focuses on the impact of DRG uncertainty on coordinated dispatching strategy for interconnected microgrids with high penetration distributed renewable generations It formulates the problem in a distributed way and the proposed framework can preserve information privacy and management independence of individual microgrids. We present the framework of networked microgrids, and it raises the formulation of the proposed optimization model by introducing the coordinated dispatching strategy preserving decision independence and information privacy. Individual microgrids intend to independently obtain a robust strategy to avoid the risk from uncertainties of renewables and loads while keeping their data private In this setting, this paper studies a model that considers two stages, i.e., the first one considers the joint scheduling of on/ off states of generation units and tie-line power, and the second one considers the dispatch with uncertain DRG power. The exchange power represents the coordination among individual microgrids, which is decided in a decentralized way to preserve the decision independence and information privacy
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