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这是一篇关于采用粒子群算法的电力系统多目标无功优化的电容补偿研究的IEEE论文。-Determination of Capacity Benefi t Margin
in Multiarea Power Systems Using
Particle Swarm Optimization。
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A Survey of Particle Swarm Optimization
Applications in Electric Power Systems
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将网损价格因子和网损协调系数引入目标函数,建立了改进直流潮流模型,实现了负荷在机组间的最优分配 利用交流潮流方法计算系统实际网损,并利用增量直流潮流模型将网损在机组间进行合理分摊 最后利用交直流迭代思想修正网损价格因子和网损协调系数以优化网损分配方案。IEEE14节点和IEEE118节点算例验证了该方法的可行性,算例结果充分逼近了交流最优潮流的计算结果,符合实际系统运行状况。-The net loss and net loss of coordination price factor intro
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Microgrid-Based Co-Optimization of Generation and
Transmission Planning in Power Systems
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提高电源的动态响应 非线性和复杂的系统是一个转换器 电力电子的有趣的挑战。摘要介绍了 设计和实现数字PID控制器使用 混沌粒子群优化(复)提振 转换器,提出了自动调优转换器的方法 最优启动响应。当系统启动时,处理器 单元分析了开环启动响应转炉和 在一些迭代使用复准备最佳反应 算法。使用逻辑映射混沌映射序列 增加它的收敛速度和精度。模拟 和实现结果显示提出的效率 方法-Improving dynamic response of DC-DC
converters whi
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HOMER is the global standard for microgrid optimization. Avoid costly mistakes by focusing on optimal hybrid power systems that meet your needs.
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嵌入式系统对强大实时处理能力的需求和相对紧张的内存及内核资源的现实，对嵌入式操作系统任务调度提出了较高的要求。因此任务调度的算法的分析，实现和优化，对实现嵌入式系统的实时性有着重大的意义。从算法提出的理论基础出发，深入分析了经典的单调速率调度算法的思想，特点，具体实现并重点评价了该算法的优点和局限性。-Strong demand for real-time embedded systems processing power and memory, and the reality of a rel
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Spectral Efficient Optimization in OFDM Systems with Wireless Information and Power Transfer
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These are important papers to PSo and application to the optimization of power systems, a must have for power system researchers-These are important papers to PSo and application to the optimization of power systems, a must have for power system rese
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Optimal Placement of Unified Power Flow Controllers in Electrical Power Systems for
Maximize the Loadability of Transmission Lines Using Chaotic Optimization Algorithm
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The document details optimization of reactive power in DG systems integrated to utility networks
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In this work we present the ED (economic dispatch) problem in mixed AC-DC (alternative currant- direct current) systems based on the calculation of PF (power flow) and its equivalent losses matrix. The procedure starts by the calculation of the PF fo
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A combination of genetic algorithm and particle swarm optimization for optimal
DG location and sizing in distribution systems
Distributed generation (DG) sources are becoming more prominent in distribution systems due to the
incremental dema
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Our previous work on real-valued function optimization problems
had shown that cultural learning emerged as the result of meta-level interaction
or swarming of knowledge sources, “knowledge swarms” in the belief
space. These meta-level swarms i
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根据常规鲁棒方法 太过于保守 随机优化方法不够准确 可用于电力系统优化调度(Conventional robust methods are too conservative stochastic optimization methods are not accurate enough to be used for optimal dispatching of power systems)
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