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Optimal sizing strategy for energy storage system considering correlated forecast uncertainties of dispatchable resources

机译：考虑可调度资源相关预测不确定性的储能系统最优规模策略

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This paper, from the perspective of hourly dispatch, proposes an approach of sizing Energy Storage System (ESS) in an isolated grid. The objective is to minimize the total cost by optimizing the size of ESS, thermal units generation power, wind curtailment and load demand response. While transforming the chance constraints, such as the network constraints, into the deterministic constraints, the model takes into account the correlations of the forecast errors among wind farms, and load at different buses. In addition, two types of transmission line overloading probability (TLOP) constraints are considered in the ESS sizing models. In particular, an approach of linearizing the scenario generation network constraints is proposed, so that the commercial software can solve the optimization problem. Meanwhile, the performance of the proposed sizing method is validated on a 4-Bus system and a modified IEEE RTS-79 system.
机译：本文从每小时调度的角度出发，提出了一种在隔离电网中确定储能系统（ESS）规模的方法。目的是通过优化ESS的尺寸，热电单元的发电功率，减少风力和负载需求响应来最小化总成本。在将机会约束（例如网络约束）转换为确定性约束时，该模型会考虑风电场之间的预测误差与不同公交车负荷的相关性。此外，在ESS规模模型中考虑了两种类型的传输线过载概率（TLOP）约束。特别地，提出了一种使情景产生网络约束线性化的方法，从而使得商业软件可以解决优化问题。同时，在4总线系统和改进的IEEE RTS-79系统上验证了所提出的调整大小方法的性能。

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