基于TSO-DSO协调的有源配电网价格响应学习
Learning the price response of active distribution networks for TSO-DSO coordination
摘要：
分布式能源和灵活的电力消费者的增加已经使TSO-DSO协调策略成为一个具有挑战性的问题。现有的分解/分散方法采用分治策略来削减这个复杂问题的计算负担，但依赖于访问专有信息或故障安全的实时通信基础设施。为了克服这些缺点，我们在本文中提出了一个TSO-DSO协调策略，只需要一系列的观察节点的价格和在变电站连接的传输和分配网络的功率摄入量。使用这些信息，我们学习主动分销网络（DN）的价格响应使用递减的逐步函数，也可以适应一些上下文信息。学习任务可以以计算高效的方式执行，并且它产生的曲线可以被解释为市场报价，从而避免了修改传输网络的当前操作过程的需要。从学习任务中得出的不准确性可能导致次优决策。然而，从一个现实的案例研究的结果表明，所提出的方法产生的经营决策非常接近的一个完全集中的协调传输和分配。
英文摘要：
The increase in distributed energy resources and flexible electricity consumers has turned TSO-DSO coordination strategies into a challenging problem. Existing decomposition/decentralized methods apply divide-and-conquer strategies to trim down the computational burden of this complex problem, but rely on access to proprietary information or fail-safe real-time communication infrastructures. To overcome these drawbacks, we propose in this paper a TSO-DSO coordination strategy that only needs a series of observations of the nodal price and the power intake at the substations connecting the transmission and distribution networks. Using this information, we learn the price response of active distribution networks (DN) using a decreasing step-wise function that can also adapt to some contextual information. The learning task can be carried out in a computationally efficient manner and the curve it produces can be interpreted as a market bid, thus averting the need to revise the current operational procedures for the transmission network. Inaccuracies derived from the learning task may lead to suboptimal decisions. However, results from a realistic case study show that the proposed methodology yields operating decisions very close to those obtained by a fully centralized coordination of transmission and distribution.
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