Effective power flow control via distributed FACTS considering future uncertainties
Effective power flow control via distributed FACTS considering future uncertainties
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DOI：
10.1016/j.epsr.2018.11.017
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发表时间：
2019-03
影响因子：
3.9
通讯作者：
Yuanrui Sang;M. Sahraei-Ardakani
中科院分区：
文献类型：
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作者：
Yuanrui Sang;M. Sahraei-Ardakani
柔性交流输电系统（FACTS）是智能输电系统的重要贡献者。它们可以提供一定程度的潮流控制并增强现有网络的传输能力。这种灵活性可用于缓解拥堵和可再生能源整合。分布式FACTS（D-FACTS）是FACTS的轻量级版本，可以方便地重新部署。由于成本较低且易于安装，D-FACTS 近年来已成为一种颇具吸引力的潮流控制技术。本文提出了一种计算高效的 D-FACTS 随机分配模型，并研究了它们对潮流的影响。与传统 FACTS 相比，通过 D-FACTS 实现了运营成本和可再生能源削减的降低。结果是在多种情景下呈现的，以反映未来不断变化和不确定的条件。这些情景包括燃料价格波动、旧发电机退役和可再生能源发电。结果表明，D-FACTS 由于其额外的灵活性和更低的成本，可以比传统 FACTS 带来更大的经济节省；结果还表明 D-FACTS 可以更好地适应未来的不确定性。
Flexible AC transmission systems (FACTS) are important contributors to smart transmission systems. They can offer some level of power flow control and enhance the transfer capability over the existing network. This flexibility can be utilized for congestion mitigation and renewable energy integration. Distributed FACTS (D-FACTS) is a light-weight version of FACTS, which can be redeployed conveniently. Due to its lower cost and ease of installation, D-FACTS has become an attractive power flow control technology in recent years. This paper proposes a computationally efficient stochastic allocation model for D-FACTS and studies their impact on power flows. The reduction in operation cost and renewable energy curtailment, achieved through D-FACTS, is compared with that of conventional FACTS. The results are presented under a wide range of scenarios to reflect the changing and uncertain conditions of the future. The scenarios include fluctuating fuel prices, retirement of old generators, and renewable energy generation. The results show that D-FACTS can bring larger economic savings than conventional FACTS, due to its additional flexibility and lower cost; the results also suggest that D-FACTS can better accommodate the future uncertainties.