Description: 这是一篇优秀的博士论文,题目是《基于粒子群体优化算法的电力系统无功优化研究》-This is an outstanding doctoral dissertation, entitled Particle-based optimization algorithm groups Power System Reactive Power Optimization Study Platform: |
Size: 3776512 |
Author:chenjy |
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Description: 用标准PSO算法解决电力系统最优化问题,粒子采用的是40个节点的大规模问题-Standard PSO algorithm to solve power system optimization problems, particle using 40 nodes of large-scale problems Platform: |
Size: 3072 |
Author:Mei Juan |
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Description: 在电力系统中,用matlab源代码编写的基于pso算法优化程序-In power system using matlab source code prepared by the procedure based on PSO algorithm to optimize Platform: |
Size: 63488 |
Author:zoe |
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Description: 摘要:本文旨在研究一种能对复杂热工对象的有效建模方法。基于遗传算法的辨识方法有较强的抗干扰能力,对低、高阶系统、延时系统都可以达到很好的辨识效果。根据单元机组的低阶非线性模型,推导出一个双进双出、能够描述机组动态特性及机炉间相互耦合关系的协调控制系统传递函数矩阵。依次模型为基础,提出一种基于改进的遗传算法的参数辨识方法。-Abstract: This paper aims to study a thermal complex objects can be an effective modeling method. Identification method based on genetic algorithm has strong anti-jamming ability, low, high-end systems, delay systems can achieve very good recognition results. According to unit power plant low-level non-linear model, derived a double inlet and outlet, can describe the dynamic characteristics and boiler-turbine unit is coupled between two relations, coordination and control system transfer function matrix. Turn model was proposed based on improved genetic algorithm based on parameter identification method. Platform: |
Size: 118784 |
Author:space6 |
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Description: 粒子群加连续潮流法,能优化变压器分接头,进行多变量优化,使系统非常稳定-PSO plus continuous power flow, transformer taps can be optimized, multi-variable optimization, making the system very stable Platform: |
Size: 31744 |
Author:周礼 |
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Description: The economic load dispatch plays an important role in the operation of power system,
and several models by using different techniques have been used to solve these problems.
Several traditional approaches, like lambda-iteration and gradient method are utilized to find out
the optimal solution of non-linear problem. More recently, the soft computing techniques have
received more attention and were used in a number of successful and practical applications. The
purpose of this work is to find out the advantages of application of the evolutionary computing
technique and Particle Swarm Optimization (PSO) in particular to the economic load dispatch
problem. Here, an attempt has been made to find out the minimum cost by using PSO using the
data of three and six generating units Platform: |
Size: 542720 |
Author:amijeet |
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Description: 利用粒子位置和速度的改变更新,在熟悉多目标粒子群算法的基础上利用测试函数对该算法进行仿真,并对仿真结果进行优化。-The particle position and velocity changes update in the familiar multi-objective particle swarm optimization based on the use of test functions to simulate the algorithm, and the optimization of simulation results. Platform: |
Size: 223232 |
Author:durongmao |
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Description: 这是一篇基于粒子群优化算法的电力系统多目标的无功优化研究的IEEE论文。希望有所帮助。-This is a PSO-based power system multi-objective reactive power optimization of the IEEE papers. Hope that helps. Platform: |
Size: 217088 |
Author:船长 |
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Description: 使用粒子群优化算法对电力系统最有潮流进行优化,比较不错的程序-Using particle swarm optimization algorithm for power system to optimize the power flow, relatively good program Platform: |
Size: 2048 |
Author:dj |
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Description: 基于粒子群算法的电力系统经济负荷分配研究-Based on particle swarm optimization of power system economic load allocation study Platform: |
Size: 134144 |
Author:zhaoweike |
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Description: 主要计算电力系统机组组合问题,高智能算法,收敛效果好,迭代稳定-Calculate the power system unit commitment problem, intelligent algorithm, the convergence effect, iterative stable Platform: |
Size: 2048 |
Author:leo |
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Description: 基于改进小生境粒子群优化算法的电力系统无功优化研究-Reactive Power Optimization Based on Improved Niche PSO power system Platform: |
Size: 610304 |
Author:拉姆塞 |
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Description: 未来高比例可再生能源电力系统愿景下,具有波动
性和不确定性的风/光等可再生能源作为主要能源供应者,给
电力系统带来了巨大的灵活性需求,考虑单一类型灵活性资
源提供调节能力的规划模型和以净负荷包络线为基础的电源
规划方法将不再适用。引入灵活性指标量化评估源荷储多类
型灵活性资源的调节潜力并作为优化决策变量纳入到规划模
型中(Under the vision of the high penetration renewable energy power systems in the future, the renewable energy, such as wind and solar, with volatility and uncertainty becomes the main energy provider, which brings the great flexibility requirement to the power system. The power planning model will no longer be applicable, which considers single flexible resource to provide the regulatory ability and power planning method based on the net load envelope. This paper introduces the flexibility indices to quantitatively assess the regulatory potential of multi-type flexible resources of source-load-storage and incorporate it into the planning model as an optimization decision-making variable.) Platform: |
Size: 2048 |
Author:最帅的张飞 |
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