This research develops a comprehensive method to solve a combinatorial problem consisting of distribution system reconfiguration, capacitor allocation, and renewable energy resources sizing and siting simultaneously a...This research develops a comprehensive method to solve a combinatorial problem consisting of distribution system reconfiguration, capacitor allocation, and renewable energy resources sizing and siting simultaneously and to improve power system's accountability and system performance parameters. Due to finding solution which is closer to realistic characteristics, load forecasting, market price errors and the uncertainties related to the variable output power of wind based DG units are put in consideration. This work employs NSGA-II accompanied by the fuzzy set theory to solve the aforementioned multi-objective problem. The proposed scheme finally leads to a solution with a minimum voltage deviation, a maximum voltage stability, lower amount of pollutant and lower cost. The cost includes the installation costs of new equipment, reconfiguration costs, power loss cost, reliability cost, cost of energy purchased from power market, upgrade costs of lines and operation and maintenance costs of DGs. Therefore, the proposed methodology improves power quality, reliability and security in lower costs besides its preserve, with the operational indices of power distribution networks in acceptable level. To validate the proposed methodology's usefulness, it was applied on the IEEE 33-bus distribution system then the outcomes were compared with initial configuration.展开更多
为了提高电动汽车机电复合方式完成制动效果,开发了一种能够同时满足能量高效回收并达到安全制动性能的机械摩擦与电机制动相结合的协调制动分配方法。该协调制动控制方案通过电机提供稳态制动力,并且液压制动系统对轮速进行稳态调节,...为了提高电动汽车机电复合方式完成制动效果,开发了一种能够同时满足能量高效回收并达到安全制动性能的机械摩擦与电机制动相结合的协调制动分配方法。该协调制动控制方案通过电机提供稳态制动力,并且液压制动系统对轮速进行稳态调节,防止车轮发生抱死现象,最终实现ABS液压制动效果。分别在新标欧洲测试循环(New European Driving Cycle,NEDC)和全球轻型汽车测试循环(WLTC)工况下对开展仿真测试,采用CRUISE建立相应的仿真工况。本控制方案构建的再生制动系统行驶测试后发现电池SOC降低程度更小,可以实现对更多制动能量的回收,表现出了优异的节能效果,可以达到现有车辆的制动条件。通过综合比较发现,这里控制方案获得了比传统控制方案更优的性能。展开更多
文摘This research develops a comprehensive method to solve a combinatorial problem consisting of distribution system reconfiguration, capacitor allocation, and renewable energy resources sizing and siting simultaneously and to improve power system's accountability and system performance parameters. Due to finding solution which is closer to realistic characteristics, load forecasting, market price errors and the uncertainties related to the variable output power of wind based DG units are put in consideration. This work employs NSGA-II accompanied by the fuzzy set theory to solve the aforementioned multi-objective problem. The proposed scheme finally leads to a solution with a minimum voltage deviation, a maximum voltage stability, lower amount of pollutant and lower cost. The cost includes the installation costs of new equipment, reconfiguration costs, power loss cost, reliability cost, cost of energy purchased from power market, upgrade costs of lines and operation and maintenance costs of DGs. Therefore, the proposed methodology improves power quality, reliability and security in lower costs besides its preserve, with the operational indices of power distribution networks in acceptable level. To validate the proposed methodology's usefulness, it was applied on the IEEE 33-bus distribution system then the outcomes were compared with initial configuration.
文摘为了提高电动汽车机电复合方式完成制动效果,开发了一种能够同时满足能量高效回收并达到安全制动性能的机械摩擦与电机制动相结合的协调制动分配方法。该协调制动控制方案通过电机提供稳态制动力,并且液压制动系统对轮速进行稳态调节,防止车轮发生抱死现象,最终实现ABS液压制动效果。分别在新标欧洲测试循环(New European Driving Cycle,NEDC)和全球轻型汽车测试循环(WLTC)工况下对开展仿真测试,采用CRUISE建立相应的仿真工况。本控制方案构建的再生制动系统行驶测试后发现电池SOC降低程度更小,可以实现对更多制动能量的回收,表现出了优异的节能效果,可以达到现有车辆的制动条件。通过综合比较发现,这里控制方案获得了比传统控制方案更优的性能。
