暂态稳定约束下期望收益最大的断面输电极限

Approach for Optimal Expected Power Transfer with Transient Stability Constraints

基于机会约束规划理论,提出了暂态稳定约束下断面输电极限计算的随机模型。对给定的置信水平,模型中概率暂态稳定约束被转化为最小临界切除时间代数约束,结合泛函最优控制原理,上述随机模型被变换为线性不等式约束的数学规划模型。最后应用风险决策中的期望值准则,对不同置信水平下系统的收益损失进行综合评估,得到了系统在暂态稳定约束下期望收益最大的运行方案。39节点新英格兰系统上的仿真结果说明了所提方法的有效性和实用性。

Based on the principle of chance-constrained programming （CCP）, a stochastic model for maximum transfer power with transient stability constraints is proposed in this paper. For a given confidence level, probability constraints of system transient stability are transformed into minimum critical clearing time （CCT） constraints and with the principle of functional optimal control, the probability constraints are finally converted into linear inequality constraints. Then an optimal generation reallocation approach is proposed using expectation rule in risk decision, to obtain maximum expected benefit of power transfer under different confidence levels. Case study on the New England 39-bus test system is reported to validate the stochastic model and the proposed approach.