A rapidly growing amount of small-scale distributed energy resources (DERs) integrated into distribution systems call for an effective distribution electricity market to manage the uncertainty of DERs and remove barriers to the participation of DERs in wholesale electricity markets. To this end, this paper proposes an uncertainty-aware distribution locational marginal pricing (DLMP) mechanism based on robust optimization for day-ahead distribution markets within a transmission-distribution coordinated framework. The transmission-level model clears the wholesale market and forms transmission locational marginal prices (LMPs) to price energy, reserve, and uncertainty. At the distribution level, a robust optimization-based DLMP mechanism is proposed that internalizes uncertainties and coordinates with the wholesale market. Besides active and reactive power DLMPs, the uncertainty DLMP is introduced to reward reserve and charge uncertainties. The novel DLMP mechanism provides transparent and comprehensive price signals for managing voltage, congestion, loss, especially uncertainty. The coordinated model is solved in a decentralized manner by heterogeneous decomposition algorithm. Distribution and wholesale markets are integrated through the coordinated mechanism to fully utilize generation resources. Accordingly, DMLPs are highly correlated and consistent with transmission LMPs, and thus allow DERs to participate in wholesale markets. The effectiveness of the proposed method is verified via numerous case studies.

中文翻译：

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考虑分销与批发市场协调的不确定性下的分销区位边际定价


融入配电系统的小型分布式能源（DER）数量迅速增长，需要有效的配电市场来管理分布式能源的不确定性，并消除分布式能源参与批发电力市场的障碍。为此，本文提出了一种基于输配电协调框架内日前配电市场稳健优化的不确定性配电位置边际定价（DLMP）机制。输电级模型清理了批发市场，并形成输电地点边际价格 (LMP)，以对能源、储备和不确定性进行定价。在分销层面，提出了一种基于优化的鲁棒DLMP机制，将不确定性内部化并与批发市场协调。除了有功功率和无功功率 DLMP 之外，还引入了不确定性 DLMP 来奖励储备和费用的不确定性。新颖的 DLMP 机制提供透明且全面的价格信号，用于管理电压、拥塞、损耗，尤其是不确定性。协调模型通过异构分解算法以分散的方式求解。通过协调机制整合配电市场和批发市场，充分利用发电资源。因此，DMLP 与输电 LMP 高度相关且一致，从而允许 DER 参与批发市场。通过大量案例研究验证了所提出方法的有效性。