基于机会约束规划的多PET互联的交直流配电网日前优化调度

随着电力电子技术的发展，基于电力电子变压器(power electronic transformer，PET)构建可实现大范围互联的交直流配电网成为新的发展趋势。首先基于多PET应用于交直流配电网的应用场景，对其柔性调节作用进行了分析；其次，计及分布式电源日前预测出力的不确定性，构建了基于机会约束规划的多PET互联的交直流配电网日前优化调度模型；再次，利用蒙特卡洛方法模拟分布式电源出力的不确定性，采用粒子群优化算法对所提出的运行优化模型进行求解；最后，基于改进的IEEE 33节点算例对所提出的优化模型进行分析，通过与确定性运行优化模型进行比较，验证了所提模型的有效性和正确性。

Day-Ahead Optimal Scheduling of AC /DC Hybrid Distributed Energy System with Multi-Power Electronic Transformer Adopting Chance-Constrained Programming

With the development of power electronics technology， it has become a new development trend to build hybrid AC/DC distribution network which can realize large-scale interconnection by power electronic transformer (PET). Firstly， for the application scenario of multi-PET in hybrid AC/DC distribution network， the flexible regulation function is analyzed. Secondly， considering the uncertainty of the day-ahead forecast output of distributed power supply， the day-ahead optimal scheduling model of the multi-PET interconnected hybrid AC/DC distribution network based on opportunity constraint programming is constructed. Thirdly， Monte Carlo method is used to simulate the uncertainty of distributed power supply output， and particle swarm optimization algorithm is used to solve the proposed optimization model. Finally， on the basis of the improved IEEE 33-node calculation example， the proposed optimization model is analyzed， and the validity and correctness of the proposed model are verified by comparing with the deterministic operation optimization model.