基于原始对偶梯度算法的分布式微电网最优电压控制

OPTIMAL VOLTAGE CONTROL OF DISTRIBUTED MICROGRID BASED ON PRIMAL DUAL GRADIENT ALGORITHM

  • 摘要: 为了建立一个广义的优化控制框架,提出一种基于原始对偶梯度算法的分布式微电网最优电压控制。设计一个遵循分布式发电机输出电压和无功功率容量技术约束的优化问题,从而在电压调节和无功功率共享之间实现最佳平衡,将问题转换为凸优化问题以便于计算。进一步引入一种原始对偶梯度求解算法,从而解决目标函数不可分离、全局平均电压不可用和全局耦合无功功率约束等问题。通过测试微电网和总线分布式测试系统仿真证明了该方法的有效性。

     

    Abstract: In order to establish a generalized optimal control framework, an optimal voltage control scheme for distributed microgrids based on primal dual gradient algorithm is proposed. An optimization problem was designed that followed the technical constraints of distributed generator output voltage and reactive power capacity, so as to achieve the optimal balance between voltage regulation and reactive power sharing. The problem was converted into a convex optimization problem for easy calculation. Furthermore, a primal dual gradient algorithm was introduced to solve the problems such as inseparability of objective function, unavailability of global average voltage, and constraints on global coupling reactive power. The effectiveness of the proposed method was verified by testing microgrid and bus distributed test system simulation.

     

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