多时间尺度下配微一体化双层级协同优化调度方法

Two-Layer Collaborative Optimization Scheduling Method for Micro-Distribution Network under Multi-Time Scales

中文关键词:配微一体化  双层优化调度  多时间尺度  模型预测控制  二阶锥规划

keywords:integrated distribution network and microgrid  bi-level optimal scheduling  multi-time scale  model predictive control  second-order cone programming

中文摘要:为充分挖掘分布式发电效益，并确保配电网安全、可靠、高质量运行，提出一种多时间尺度下配微一体化双层优化调度方法。在下层微电网中，基于模型预测控制算法，分别对孤岛模式和并网模式实现计及日前调度、日内滚动和实时反馈的多时间尺度优化调度；在上层配电网中，建立以系统网损最小为目标的最优潮流模型，并采用二阶锥技术求解模型，实现上下层的协调优化，有效缓解了分布式电源出力不确定性所带来的负面影响。基于改进的IEEE 33节点系统进行仿真验证，实验结果表明，所提方法能够实现主动配电网和微电网的最优调度。

Abstract:To fully exploit the benefits of distributed generation and ensure the safe， reliable and high-quality operation of distribution networks， a multi-time-scale bi-level collaborative optimal scheduling method for integrated distribution network and microgrid is proposed. In the lower-layer microgrid， based on model predictive control （MPC）， multi-time-scale optimal scheduling including day-ahead scheduling， intra-day rolling and real-time feedback is implemented for both islanded and grid-connected modes. In the upper-layer distribution network， an optimal power flow model aiming at minimizing system power loss is established and solved by second-order cone programming to realize coordinated optimization between the upper and lower layers， which effectively mitigates the negative impact caused by the uncertainty of distributed generation output. Simulation verification based on the improved IEEE 33-bus system shows that the proposed method can achieve optimal scheduling of active distribution networks and microgrids.