基于可行空间并行的安全约束最优潮流

为了提高电网控制决策的实时性，文中将计及预想故障安全约束的经济性优化问题分解为以发电成本最小为目标的基态最优潮流主问题和预想故障安全校核子问题，并提出一种基于可调空间切片并行的分解协调算法进行求解，以避免交替迭代。首先，按不同比例对可调空间进行切片形成多个切片方案，并基于并行计算平台采用原始-对偶内点法对各切片方案进行基态最优潮流主问题求解；然后，对各优化后方式进行预想故障并行安全校核；接着从通过安全校核的切片方案中挑选出发电成本最小的方案；最后，以贵州省某市电网为算例分析验证了所提方法的有效性。

Security constrained optimal power flow based on parallel adjustment space

In order to improve the real-time performance of power grid control decision-making,a scheme is proposed in the paper. This scheme decomposes the economic optimization problem that takes into account the expected fail-safe constraints into the main problem of the ground state optimal power flow with the goal of minimizing the power generation cost and the sub-problem of the expected fail-safe check. At the same time,a decomposition and coordination algorithm based on tunable space slice parallel is proposed to solve the problem without alternate iterations. First of all,the adjustable space is sliced to form multiple slicing schemes according to different proportions. Based on the parallel computing platform and the slicing schemes,the primal dual interior point method is used to solve the base-case optimal power flow master problem. Secondly,security check of contingencies is carried out by parallel computing for different optimized cases. Then,the solution with the minimum cost is chosen from the safe solutions. Finally,the effectiveness of the proposed method is verified by cases in the regional comprehensive energy system of a city in Guizhou province.