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机构地区:[1]哈尔滨工业大学电气工程及自动化学院,黑龙江省哈尔滨市150001
出 处:《中国电机工程学报》2005年第21期45-50,共6页Proceedings of the CSEE
基 金:黑龙江省自然科学基金项目(E-0321)。
摘 要:在满足安全稳定限制的情况下,建立了寻求缺电损失最小的负荷减载模型和算法,以解决系统供电不足时的减负荷问题。该模型是具有等式和不等式约束的函数极值问题,属于最优潮流模型。该算法是在控制变量空间寻优的改进近似规划法:从初始可行的运行点开始,通过计算系统的状态变量对控制变量的灵敏度,将系统的目标函数和约束条件线性化,进行有效约束的筛选,以线性规划修正控制变量,进而解算潮流得到新的可行运行点。通过迭代收敛到最优解。并以IEEE-14节点系统和IEEE-30节点系统为试算系统,验证了该算法的有效性。This paper presents the optimal load shedding model based on minimizing power outage cost and observing system safety and stability restriction during power shortage. With equation restriction and inequation restriction, this model belongs to optimal power flow. A novel optimization algorithm for the model is also presented. Applying improved approximate programming method, optimization is done in the control variable space. Through the sensitivity equation of status variable to control variable, the system objective function and restriction can be linearized at the starting feasible operation point, the control variable can be amended using linear programming method which is simplified by active restriction identifying, the new operating point can be obtained by solving power flow equation. The process is iterated until the operating point converges at the optimal solution. Also, the proposed method has been validated on IEEE 14-bus test system and IEEE 30-bus test system.
关 键 词:电力系统 缺电成本 减负荷 最优潮流 近似规划法 灵敏度方程
分 类 号:TM712[电气工程—电力系统及自动化]
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