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- This procedure abdicates the solution of optimal power flow problem with Newton-Raphson. 该程序用牛顿-拉夫逊法计算潮流,拉格朗日函数和网损微增率法求无功功率最优化补偿。
- Thirdly, the model of Optimal Power Flow (OPF) with UPFC is established, and solved by interior point method. 然后,建立了计及UPFC的最优潮流数学模型,并用内点法进行求解。
- Optimal Power Flow (OPF) can be defined as a typical flexible nonlinear programming problem with many targets. 电力系统最优潮流问题是典型的具有可伸缩性的多目标非线性规划问题。
- This paper introduced a model of Multi-objective Optimal Power Flow, which taken both market benefit and system security as optimal objective. 摘要介绍了一个把电力系统安全性和市场效益同时作为优化目标的多目标最优潮流计算模型。
- A chance constrained programming model is built to the stochastic optimal power flow problem(S-OPF)considering load probabilistic distributions. 针对考虑负荷概率分布的随机最优潮流问题,建立了相应的机会约束规划模型。
- Then it is integrated into standard optimal power flow (OPF) formulation, and set up a new ATC model considering angle stability and voltage stability. 因此，用线路传输有功功率极限近似简洁地表达这2种复杂约束的方法，建立考虑功角和电压稳定约束的可用输电能力新模型。
- A novel two-swarm based PSO algorithm (TSPSO) with roulette wheel selection was proposed to solve optimal power flow problem. 提出一种带赌轮选择的双种群粒子群优化算法(TSPSO)求解最优潮流问题。
- Fast and robust optimal power flow(OPF) algorithm becomes the key of calculation and running control for large scale system. 快速、稳定的最优潮流算法已经成为大规模电力系统计算与运行控制的关键。
- Abstract: A novel two-swarm based PSO algorithm (TSPSO) with roulette wheel selection was proposed to solve optimal power flow problem. 摘 要： 提出一种带赌轮选择的双种群粒子群优化算法(TSPSO)求解最优潮流问题。
- Transient stability constrained optimal power flow (TSC-OPF) problem is divided into two sub-problems, which are optimal power flow (OPF) and transient stability control. 摘要为将暂态稳定约束最优潮流问题转化为最优潮流和暂态稳定两个子问题，根据暂态稳定计算结果求出发电机转角及转速相对于机械输入功率的轨迹灵敏度。
- We use it in the solution of the optimal power flow along with the Mult-SUMT, which is combined by interior point penalty function and exterior point penalty function. 该文介绍了一种新的演化优化算法，即粒子群算法（PSO）。
- A three-point estimate method to solve the probabilistically optimal power flow for electricity market with uncertain factors was proposed in this paper. 针对电力市场运营中存在的不确定因素，该文提出一种基于三点估计的概率最优潮流算法。
- As the basic foundation of this thesis's algorithm study, a novel class optimal power flow (OPF) algorithm named Global Semi-Smooth Newton (GSSN) algorithm based on nonlinear complementarity problem (NCP) function is presented. 提出了一类新的基于非线性互补问题NCP函数的全局半光滑牛顿最优潮流算法,作为全文算法研究的基础。
- An approach to congestion problem is presented,which combines OPF(Optimal Power Flow) and CPF(Continuation Power Flow) and maintains the system operating within voltage security margin. 采用将最优潮流与连续潮流相结合的方法解决阻塞问题,并使系统运行在电压安全裕度之内。
- Combining power system safety with economy, the Optimal Power Flow (OPF) is a necessary optimizing tool in electric network. 最优潮流是将运行经济性与静态安全性结合在一起的电力系统稳态运行工况控制分析方法。
- A novel improved particle swarm optimization (PSO) algorithm based on feasible retention strategy and mutation operator is proposed to solve optimal power flow (OPF) problems. 提出了一种新的基于可行保留策略和变异算子的改进粒子群优化算法来求解最优潮流问题。
- Power flow and reactive power optimization are very importantcalculations in power system, both are included in optimal power flow (OPF) calculation of power system. 潮流计算和无功优化计算是电力系统非常重要的计算，两者都包括在电力系统最优潮流(OPF)问题中。
- Abstract： Power flow and reactive power optimization are very important calculations in power system, both are included in optimal power flow (OPF) calculation of power system. 摘 要： 潮流计算和无功优化计算是电力系统非常重要的计算，两者都包括在电力系统最优潮流(OPF)问题中。
- Finally,the algorithm is used to solve the optimal power flows with transient stability constraints(OTS) in power systems. Numerical results show the effectiveness of the proposed approach. 利用该方法求解电力系统暂态稳定约束的最优潮流(optim al power flows w ith transient stab ility constraints-OTS)问题;计算结果显示该算法的有效性.
