网络封套内可调整的价格敏感型 DER 竞标

Ahmad Attarha;Masoume Mahmoodi;S. Mahdi Noori R. A.;Paul Scott;José Iria;Sylvie Thiébaux
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引用次数: 1

摘要

分布式能源(DER)的日益普及突出了聚合商作为调解人的作用,使DER车队能够参与能源和储备市场。由于DER分散在配电网中,因此到达市场的总体出价需要考虑配电网的物理限制。这是具有挑战性的,因为电网运营商和聚合器是具有不同角色和隐私需求的独立方。需求、太阳能和电价的不确定性进一步使聚合商在计算可靠的网络安全投标时的工作复杂化。为了克服这些挑战,我们提出了一种在网络运营信封内对价格敏感的投标方法,使聚合商能够提供可靠的市场服务。为了确保数据的不确定性既不会导致网络违规,也不会让聚合器无法兑现其市场承诺,我们在竞标问题中引入了分段仿射可调优化(PAARO)控制器。我们还扩展了聚合器竞标问题,以解释整体消费者不确定性抵消的情况,提供了一个不那么保守的解决方案。我们用69总线/906总线分配网络说明了我们提出的方法的有效性。结果表明,与价格不敏感和确定性方法相比,我们的方法可以将聚合器和消费者的利益提高14%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adjustable Price-Sensitive DER Bidding Within Network Envelopes
The increasing penetration of distributed energy resources (DER) has highlighted the role of aggregators as mediators who enable the participation of DER fleet in energy and reserve markets. Since DER are scattered across the distribution network, the overall bids reaching the market need to account for distribution network physical limits. This is challenging as the grid operator and aggregators are independent parties with separate roles and privacy requirements. The uncertainty around demand, solar power, and electricity price further complicates aggregators' job in calculating reliable network-secure bids. To overcome these challenges, we propose a price-sensitive bidding approach within network operating envelopes that enables aggregators to provide reliable market services. To ensure that data uncertainty neither leads to network violations nor leaves aggregators unable to deliver their market commitments, we introduce a piecewise affinely adjustable optimisation (PAARO) controller into our bidding problem. We also extend the aggregator bidding problem to account for cases where the overall consumer uncertainty cancels out, providing a less conservative solution. We illustrate the effectiveness of our proposed approach using 69-bus/906-bus distribution networks. The results show that our approach could increase aggregator and hence consumer benefits by up to 14%, compared to a price-insensitive and deterministic approach.
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