柔性多状态开关(soft open point, SOP)作为一种新型的配电网调控设备,在合理的选址定容规划下,能显著发挥促进馈线均衡、降低传输损耗、提升新能源消纳等作用。为此在考虑配电网传统调控手段的基础上提出了SOP选址定容的三层规划模型:...柔性多状态开关(soft open point, SOP)作为一种新型的配电网调控设备,在合理的选址定容规划下,能显著发挥促进馈线均衡、降低传输损耗、提升新能源消纳等作用。为此在考虑配电网传统调控手段的基础上提出了SOP选址定容的三层规划模型:顶层确定SOP的接入位置和容量并传递给中层;继而中层利用模拟退火算法确定常见的有载调压变压器、无功补偿电容器等传统手段的调控变量;最后底层利用粒子群算法确定SOP的运行工况。为了降低三层模型求解的复杂度,引入加权功率传输分布系数指标和网损微增率指标辅助决策。通过IEEE33配电网的算例分析表明:所提模型能够有效整定SOP接入的位置和容量,并能够给出SOP和传统调控手段的联合运行工况,考虑传统调控后的规划模型有效降低了配电网的运行费用。因此,在SOP接入规划时有必要考虑其与传统调控手段相互配合的问题,才能最大限度地提升配电网的运行经济性。展开更多
Fitness of node can denote its competing power and clustering denotes the transitivity of network. Because the fitness of node is uncertain or fuzzy in some social networks, an explicit form of the degree distribution...Fitness of node can denote its competing power and clustering denotes the transitivity of network. Because the fitness of node is uncertain or fuzzy in some social networks, an explicit form of the degree distribution on fuzzy fitness is derived within a mean field approach. It is a weighted sum of different fuzzy fitness. It can be found that the fuzzy fitness of nodes may lead to multiscaling. Moreover, the clustering coefficient of node decays as power law and clustering coefficient of network behavior not-decrease-but-increase’ phenomenon after some time. Some computer simulation results of these models illustrate these analytical results.展开更多
文摘柔性多状态开关(soft open point, SOP)作为一种新型的配电网调控设备,在合理的选址定容规划下,能显著发挥促进馈线均衡、降低传输损耗、提升新能源消纳等作用。为此在考虑配电网传统调控手段的基础上提出了SOP选址定容的三层规划模型:顶层确定SOP的接入位置和容量并传递给中层;继而中层利用模拟退火算法确定常见的有载调压变压器、无功补偿电容器等传统手段的调控变量;最后底层利用粒子群算法确定SOP的运行工况。为了降低三层模型求解的复杂度,引入加权功率传输分布系数指标和网损微增率指标辅助决策。通过IEEE33配电网的算例分析表明:所提模型能够有效整定SOP接入的位置和容量,并能够给出SOP和传统调控手段的联合运行工况,考虑传统调控后的规划模型有效降低了配电网的运行费用。因此,在SOP接入规划时有必要考虑其与传统调控手段相互配合的问题,才能最大限度地提升配电网的运行经济性。
基金This project was supported by"System management",the i mportant subject of shanghai (T0502)
文摘Fitness of node can denote its competing power and clustering denotes the transitivity of network. Because the fitness of node is uncertain or fuzzy in some social networks, an explicit form of the degree distribution on fuzzy fitness is derived within a mean field approach. It is a weighted sum of different fuzzy fitness. It can be found that the fuzzy fitness of nodes may lead to multiscaling. Moreover, the clustering coefficient of node decays as power law and clustering coefficient of network behavior not-decrease-but-increase’ phenomenon after some time. Some computer simulation results of these models illustrate these analytical results.
