Description: 一种确定多目标无功规划补偿点的方法,具有实用性。-A goal to identify many points of reactive power compensation planning method is practical. Platform: |
Size: 537600 |
Author:程飞 |
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Description: 无功优化IEEE论文With the increased loading of existing power system, the problem of voltage stability
and voltage collapse has become a major concern in power system planning and operation. The
dependence of the system voltage profile on reactive power distribution forms the basis for reactive
power optimisation. The technique attempts to utilises fully the reactive power sources in the
system to improve the voltage profile and also to meet the reactive power requirements at the
AC–DC terminals to facilitate the smooth operation of DC links. The method involves successive
solution of steady-state power flows and optimisation of reactive power control variables with
unified power flow controllers using linear programming technique. The proposed method has-With the increased loading of existing power system, the problem of voltage stability
and voltage collapse has become a major concern in power system planning and operation. The
dependence of the system voltage profile on reactive power distribution forms the basis for reactive
power optimisation. The technique attempts to utilises fully the reactive power sources in the
system to improve the voltage profile and also to meet the reactive power requirements at the
AC–DC terminals to facilitate the smooth operation of DC links. The method involves successive
solution of steady-state power flows and optimisation of reactive power control variables with
unified power flow controllers using linear programming technique. The proposed method has
been tested on a real life equivalent 96-bus AC and a two terminal DC system. Platform: |
Size: 470016 |
Author:liuzhaohua |
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Description: 优秀论论及对应源码。电力系统配电网的无功优化规划是保证配电网安全、经济运行的一项有效手段,是降低网损、提高电压质量的重要措施。因此,电力系统配电网无功优化规划问题的研究,既具有理论意义,又具有工程实际应用价值。配电系统最优规划问题是一个复杂的非线性组合优化问题,至今未得到很好的解决。Tabu搜索(TS—Tabu search)算法是近年来出现的用于求解组合优化问题的一种高效的启发式搜索技术。本文采用固定并联电容器作为研究对象对系统进行无功补偿,并利用智能优化方法得到使配电网损耗降低最大对应的最优节点解。并在补偿容量的邻域搜索方面做了改进,采用扩大邻域搜索范围以达到全局最优的效果。用IEEE的两个算例得出的计算结果证明了这种方法的可行性。-Excellent deals on the corresponding source code. Power system with reactive power distribution network optimal planning is to ensure the safety, economic operation of an effective means of reducing the net loss, an important measure to improve the voltage quality. Therefore, the power system reactive power optimization of distribution network planning study, not only has theoretical significance, but also has practical engineering value. Optimal distribution system planning is a complicated nonlinear optimization problem, has not been solved. Tabu Search (TS-Tabu search) algorithm is used in recent years for solving combinatorial optimization problems an efficient heuristic search techniques. In this paper, as the research object of fixed shunt capacitors for reactive power compensation system, and using intelligent optimization method to reduce the loss of the largest distribution network node corresponding to the optimal solution. Compensation capacity in the neighborhood search are Platform: |
Size: 112640 |
Author:NBB |
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Description: 程序为改进的遗传算法对配电网无功优化补偿问题。电力系统配电网的无功优化规划是保证配电网安全、经济运行的一项有效手段,是降低网损、提高电压质量的重要措施。-Reactive power optimization is one of the most important control methods to ensure power system operation securely and economically,and an effective measure to improve the voltage quality and reduce the power loss.Study on reactive power optimization has the great significance in theory and practical application. Transmission network optimal planning problem is a nonlinear,large scale combinatorial optimization problem. Platform: |
Size: 8192 |
Author:徐正 |
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Description: 基于禁忌搜索算法的配电网无功补偿优化规划 能够降低网损
-Planning power distribution grid based on Tabu Search Algorithm for Optimal Reactive Power Compensation Platform: |
Size: 4096 |
Author:余涛 |
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Description: 基于禁忌搜索算法的配电网无功补偿优化规划的 禁忌搜索部分-Optimize the planning of reactive power compensation based on the tabu search algorithm with tabu search part Platform: |
Size: 4096 |
Author:余涛 |
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Description: 基于禁忌搜索算法的配电网无功补偿优化规划的潮流计算部分-Partially based on the trend of Tabu Search Algorithm with Reactive Power Compensation Optimal Planning Platform: |
Size: 1024 |
Author:余涛 |
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Description: 基于禁忌搜索算法的配电网无功补偿优化规划8点算例-Optimal Planning 8:00 example based on Tabu Search Algorithm for Reactive Power Compensation Platform: |
Size: 1024 |
Author:余涛 |
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Description: Power flow studies, commonly known as load flow, form an important part of power system
analysis. They are necessary for planning, economic scheduling and control of an existing system as
well as planning its future expansion. The problem consists of determining the magnitudes and phase
angle of voltages at each bus and active and reactive power flow in each line.
In solving power flow problem, the system is assumed to be operating under balanced
conditions and a single-phase model is used. Four quantities are assumed at each bus. These are voltage magnitude v, phase angle , real power P, and reactive power Q.The Newton Raphson method of load flow analysis is an iterative method which approximates the set of non-linear simultaneous equations to a set of linear simultaneous equations using Taylor’s series expansion and the terms are limited to first order approximation. Platform: |
Size: 32768 |
Author:bindiya kokila |
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Description: A multiobjective approach for reactive power planning in networks with wind
power generation Platform: |
Size: 1872896 |
Author:abbas |
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Description: Due to the increasing deployment of intermittent renewables, the residual load profile, as seen by the dispatchable
generation units, becomes lower and more volatile. This paper introduces a new system planning
model on a power plant resolution, taking into account technical operational constraints. The
objective of this model is to determine the optimal set of generation units, able to serve a given demand.
Two initial solutions are obtained one a classical screening curve model, and another a model
using mixed integer linear programming (MILP). These initial solutions are perturbed and combined with
an operational model to validate and further improve the solution-Due to the increasing deployment of intermittent renewables, the residual load profile, as seen by the dispatchable
generation units, becomes lower and more volatile. This paper introduces a new system planning
model on a power plant resolution, taking into account technical operational constraints. The
objective of this model is to determine the optimal set of generation units, able to serve a given demand.
Two initial solutions are obtained one a classical screening curve model, and another a model
using mixed integer linear programming (MILP). These initial solutions are perturbed and combined with
an operational model to validate and further improve the solution Platform: |
Size: 869376 |
Author:mohammad |
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Description: 用MATLAB编写的遗传算法路径规划,esprit算法对有干扰的信号频率进行估计,遗传算法无功优化。- Genetic algorithms using MATLAB path planning, esprit algorithm signal frequency interference can be assessed Genetic algorithm based reactive power optimization. Platform: |
Size: 7168 |
Author:minghui |
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Description: 遗传算法无功优化,是路径规划的实用方法,微分方程组数值解方法。- Genetic algorithm based reactive power optimization, Is a practical method of path planning, Numerical solution of differential equations method. Platform: |
Size: 8192 |
Author:lounenmou |
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Description: 遗传算法无功优化,ML法能够很好的估计信号的信噪比,用MATLAB编写的遗传算法路径规划。- Genetic algorithm based reactive power optimization, ML estimation method can be a good signal to noise ratio, Genetic algorithms using MATLAB path planning. Platform: |
Size: 4096 |
Author:赵季军 |
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Description: 是路径规划的实用方法,基于掌纹识别的在线身份验证 识别算法本科毕设,遗传算法无功优化。- Is a practical method of path planning, Verify recognition algorithm based on palmprint recognition undergraduate complete set of online identity, Genetic algorithm based reactive power optimization. Platform: |
Size: 6144 |
Author:薛卫 |
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Description: Genetic algorithm based reactive power optimization, Power System Transient Stability Program, can be transient stability, Is a practical method of path planning. Platform: |
Size: 151552 |
Author:徐徐尖美尖美
|
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Description: Genetic algorithm based reactive power optimization, Iterative self-organizing data analysis, Is a practical method of path planning. Platform: |
Size: 150528 |
Author:touqennuipeng
|
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Description: Fuzzy-TLBO optimal reactive power control variables planning
for energy loss minimization Platform: |
Size: 187392 |
Author:jafarisa |
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