计及高比例风电暂态电压安全的主从协同动态无功优化方法  

Master-Slave Cooperative Dynamic Reactive Power Optimization Method Considering Transient Voltage Security of High Proportion of Wind Power

作　　者：薛霖 牛涛 方斯顿 陈冠宏 XUE Lin;NIU Tao;FANG Sidun;CHEN Guanhong(State Key Laboratory of Power Transmission Equipment&System Security and New Technology(Chongqing University),Chongqing 400044,China)

机构地区：[1]输配电装备及系统安全与新技术国家重点实验室(重庆大学),重庆市400044

出　　处：《电力系统自动化》2023年第17期57-66,共10页Automation of Electric Power Systems

基　　金：重庆市自然科学基金面上项目(CSTB2022NSCQ-MSX0498);国家自然科学基金资助项目(52007017)。

摘　　要：相比于传统电力系统,大规模高比例的风电馈入导致处于末端电网的风电基地网架结构更为薄弱,低电压穿越能力和动态无功支撑水平进一步降低。为保证整个风电系统的电压安全,必须精确计及大规模风电汇集区域内每台风电机组的暂态电压特性。该优化问题具有规模大、暂态约束多、主从系统交互变量多等特点,传统无功优化方法还存在计算时间长、收敛性无法充分保证等问题。因此,针对含高比例风电馈入系统的动态无功备用优化问题,提出一种计及暂态电压安全约束的广义主从分裂优化算法,实现主从系统的协同优化,同时保证计算的精度和收敛性。首先,基于轨迹灵敏度分析法将暂态稳定性约束转化为代数方程约束。然后,根据Karush-Kuhn-Tucker条件将原问题分解为主网无功优化模型和各风电子系统无功优化模型,主、子系统通过交互边界信息实现主从协同优化,并基于边界信息一致性保障含暂态约束问题的求解精度。最后,通过实际系统验证了所提方法的计算速度和结果精度。Compared with the traditional power system,the integration of large-scale and high proportion of wind power leads to a weaker terminal grid structure of wind power base and a further decline in low-voltage ride-through capability and dynamic reactive power support level.To guarantee the voltage security of the whole wind power system,the transient voltage characteristics of each wind turbine in the large-scale wind power collection area must be accurately considered.The optimization problem has the characteristics of large scale,multiple transient constraints,and multiple interaction variables of the master-slave system,traditional reactive power optimization methods also have problems such as long calculation time and insufficient guarantee of convergence.Therefore,this paper proposes a generalized master-slave splitting optimization algorithm for dynamic reactive power reserve optimization of a system with integration of high proportion of wind power,which considers the transient voltage security constraints,and realizes the cooperative optimization of the master-slave system while ensuring the computational accuracy and convergence.First,the transient stability constraints are transformed to the algebraic equation constraints based on the trajectory sensitivity analysis method.Then,the original problem is decomposed into the reactive power optimization model of the main power grid and the reactive power optimization model of each salve wind power system based on Karush-Kuhn-Tucker condition.The master and slave systems realize master-slave cooperative optimization by interacting boundary information,and guarantee the solution accuracy of the problem with transient constraints based on the consistency of boundary information.Finally,the computational speed and result accuracy of the proposed method are verified in an actual wind power system.

关 键 词：高比例风电 主从协同优化 暂态电压 动态无功 

分 类 号：TM714.3[电气工程—电力系统及自动化] TM614