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arXiv 2305.04456eess.SYcs.SY
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主动配电网中多微电网分布式协调以提供辅助服务

Distributed Coordination of Multi-Microgrids in Active Distribution Networks for Provisioning Ancillary Services

Arghya Mallick, Abhishek Mishra, Ashish R. Hota, Prabodh Bajpai

AI总结:

本文提出一种基于交替方向乘子法的全分布式优化框架,协调主动配电网中多微电网利用逆变器无功能力和储能灵活性向输电网提供无源电压支撑辅助服务,并通过IEEE 33节点系统验证其有效性与可扩展性。

摘要:

随着可再生能源发电的迅猛增长,传统的基于同步发电机的发电厂正逐渐被基于可再生能源的微电网所取代。这种转变带来了从微电网获取各种辅助服务的挑战。我们提出了一种分布式优化框架,用于协调主动配电网中的多个微电网,以在满足运行约束的同时提供基于无源电压支撑的辅助服务。具体而言,我们利用逆变器的无功功率支撑能力以及微电网所配备的储能系统提供的灵活性,向输电网提供辅助服务支持。我们开发了新的混合整数不等式来表示与输电网之间可行的有功和无功功率交换集合,从而确保无源电压支撑。所提出的基于交替方向乘子法的算法是完全分布式的,不需要集中式实体的存在即可实现微电网之间的协调。我们在IEEE 33节点配电测试系统上给出了详细的数值结果,以证明所提出方法的有效性,并考察了分布式算法在不同超参数选择和网络规模下的可扩展性和收敛行为。

英文摘要:

With the phenomenal growth in renewable energy generation, the conventional synchronous generator-based power plants are gradually getting replaced by renewable energy sources-based microgrids. Such transition gives rise to the challenges of procuring various ancillary services from microgrids. We propose a distributed optimization framework that coordinates multiple microgrids in an active distribution network for provisioning passive voltage support-based ancillary services while satisfying operational constraints. Specifically, we exploit the reactive power support capability of the inverters and the flexibility offered by storage systems available with microgrids for provisioning ancillary service support to the transmission grid. We develop novel mixed-integer inequalities to represent the set of feasible active and reactive power exchange with the transmission grid that ensures passive voltage support. The proposed alternating direction method of multipliers-based algorithm is fully distributed, and does not require the presence of a centralized entity to achieve coordination among the microgrids. We present detailed numerical results on the IEEE 33-bus distribution test system to demonstrate the effectiveness of the proposed approach and examine the scalability and convergence behavior of the distributed algorithm for different choice of hyperparameters and network sizes.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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