Optimal Market Participation of Distributed Load Resources Under Distribution Network Operational Limits and Renewable Generation Uncertainties
Optimal Market Participation of Distributed Load Resources Under Distribution Network Operational Limits and Renewable Generation Uncertainties
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DOI：
10.1109/tsg.2018.2830751
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发表时间：
2019-07
影响因子：
9.6
通讯作者：
Ashkan Sadeghi-Mobarakeh;A. Shahsavari;H. Haghighat;Hamed Mohsenian-Rad
中科院分区：
文献类型：
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作者：
Ashkan Sadeghi-Mobarakeh;A. Shahsavari;H. Haghighat;Hamed Mohsenian-Rad
目前鼓励分布式负荷资源积极参与能源市场。作为配电系统的一部分，它们影响着电网的潮流模式，并与配电系统中的间歇性可再生发电相互作用。在这方面，一个尚未解决的根本挑战是在需求竞价模式下推导出一个最优市场参与模型，该模型系统地考虑了与电力市场和配电网系统相关的不确定性，从而考虑了实物配电网的运行极限。因此，本文研究了不确定市场、配电系统数据和网络运行极限下的最优需求报价问题。在假设价格接受者分布效用具有可再生能源、负荷不可变动和延迟的两阶段结算市场模型的情况下，建立了一个两阶段稳健随机竞价公式，并用分解算法求解。我们得到了使能源采购成本最小且完全符合配电网运营标准的最优竞价曲线。此外，还提出了新的指标来帮助公用事业公司评估其网络在可推迟负载和可再生资源方面的运行性能。最后，通过对一个算例系统和33节点系统的一系列数值实验，说明了该模型的优越性。
Distributed load resources are encouraged nowadays to actively participate in the energy market. As a part of the distribution system, they affect the power flow pattern of the network and interact with intermittent renewable generation in the distribution system. In this regard, one fundamental challenge, not yet addressed, is to derive an optimal market participation model, under the demand bidding paradigm, that systemically accounts for the operational limits of a physical distribution grid considering uncertainty associated with both the electricity market, and distribution network system. Accordingly, this paper addresses the optimal demand biding under uncertain market and distribution system data and network operational limits. Assuming a price-taker distribution utility with renewable energy, inflexible and deferrable loads and a two-settlement market model, we develop a two-stage robust stochastic bidding formulation solved using a decomposition algorithm. We derive optimal bid curves that minimize energy procurement cost and fully comply with the operational standards of the distribution network. Moreover, novel indexes are proposed to help the utility evaluate the operational performance of its network with regard to deferrable loads and renewable resources. Finally, we illustrate the advantage of the proposed model from a set of numerical experiments on an example system and the 33-bus system.