论文标题
通过精确的OPF松弛方法在分销网络中的最佳下垂控制位置
Optimal droop control placement in distribution network via an exact OPF relaxation method
论文作者
论文摘要
在过去的十年中，由于它们的许多技术，经济和环境利益，可再生能源（RES）在分销网络中的整合不断增加。但是，RES的大规模渗透受网格安全限制的限制，例如电压和当前限制。对逆变器互换的RES的控制可以保证在保留RESS性能的同时遵守这些约束。但是，安装其他可控转换器单元会引入补充投资成本，因此必须有限。在本文中，开发了混合量二阶锥体（MISOCP）优化问题，以最佳地放置RES转换器的Q-V和P-V下垂控制器。优化问题的目标是最大程度地减少投资成本，维护成本以及从系统限制的电网购买的能源购买成本。为了提供这些约束的准确和凸的公式，我们适应了一种增强的松弛方法，最近提出了解决径向分布网络中最佳功率流问题的方法。我们的方法在标准IEEE 34-BUS网络上进行了测试，并将结果与替代方法提供的结果进行了比较。
In the last decade, the integration of Renewable Energy Sources (RES) in distribution networks has been constantly increasing due to their many technical, economical, and environmental benefits. However, the large-scale penetration of RESs is limited by the grid security constraints, e.g., voltage and current limits. The control of inverter-interfaced RESs can guarantee to comply with those constraints while preserving the RESs performance. However, the installation of additional controllable converter units introduces supplementary investment costs and has therefore to be limited. In this paper, a Mixed-Integer Second-Order Cone (MISOCP) optimization problem is developed to optimally place the Q-V and P-V droop controllers for the RES converters. The objectives of the optimization problem are to minimize investment costs, maintenance costs, and the cost of energy purchase from the grid subject to the system constraints. To provide an accurate and convex formulation of these constraints, we adapt an augmented relaxation method, recently proposed to address the optimal power flow problem in radial distribution networks. Our method is tested on a standard IEEE 34-bus network and the results are compared to those provided by alternative approaches.
