In distribution systems,network reconfiguration and capacitor placement are commonly used to diminish power losses and keep voltage profiles within acceptable limits.Moreover,the problem of DG allocation and sizing is...In distribution systems,network reconfiguration and capacitor placement are commonly used to diminish power losses and keep voltage profiles within acceptable limits.Moreover,the problem of DG allocation and sizing is great important.In this work,a combination of a fuzzy multi-objective approach and bacterial foraging optimization(BFO) as a meta-heuristic algorithm is used to solve the simultaneous reconfiguration and optimal sizing of DGs and shunt capacitors in a distribution system.Each objective is transferred into fuzzy domain using its membership function.Then,the overall fuzzy satisfaction function is formed and considered a fitness function inasmuch as the value of this function has to be maximized to gain the optimal solution.The numerical results show that the presented algorithm improves the performance much more than other meta-heuristic algorithms.Simulation results found that simultaneous reconfiguration with DG and shunt capacitors allocation(case 5) has 77.41%,42.15%,and 56.14%improvements in power loss reduction,load balancing,and voltage profile indices,respectively in 33-bus test system.This result found 87.27%,35.82%,and 54.34%improvements of mentioned indices respectively for 69-bus system.展开更多
以电压源换流器为接口的分布式电源(distributedgenerator,DG)的故障电流完全由其控制策略决定,其传统的等值模型通常与常规电源类似,而忽视了控制策略的影响,造成含DG配电网故障分析存在局限性,尤其对于非对称故障情况。为此,首先对DG...以电压源换流器为接口的分布式电源(distributedgenerator,DG)的故障电流完全由其控制策略决定,其传统的等值模型通常与常规电源类似,而忽视了控制策略的影响,造成含DG配电网故障分析存在局限性,尤其对于非对称故障情况。为此,首先对DG的相间短路故障穿越控制特性进行分析,针对正序分量控制的DG提出了压控电流源等值模型;在此基础上,通过建立DG输出电流与公共联接点(point of common coupling,PCC)正、负序电压之间的关系方程式,推导出不同的相间短路故障条件下PCC正序电压的求解方程组,从而建立含DG配电网相间短路故障分析精确模型。基于DIgSILENT建立含DG配电网模型,仿真结果验证了该故障分析方法的正确性。展开更多
文摘In distribution systems,network reconfiguration and capacitor placement are commonly used to diminish power losses and keep voltage profiles within acceptable limits.Moreover,the problem of DG allocation and sizing is great important.In this work,a combination of a fuzzy multi-objective approach and bacterial foraging optimization(BFO) as a meta-heuristic algorithm is used to solve the simultaneous reconfiguration and optimal sizing of DGs and shunt capacitors in a distribution system.Each objective is transferred into fuzzy domain using its membership function.Then,the overall fuzzy satisfaction function is formed and considered a fitness function inasmuch as the value of this function has to be maximized to gain the optimal solution.The numerical results show that the presented algorithm improves the performance much more than other meta-heuristic algorithms.Simulation results found that simultaneous reconfiguration with DG and shunt capacitors allocation(case 5) has 77.41%,42.15%,and 56.14%improvements in power loss reduction,load balancing,and voltage profile indices,respectively in 33-bus test system.This result found 87.27%,35.82%,and 54.34%improvements of mentioned indices respectively for 69-bus system.
文摘以电压源换流器为接口的分布式电源(distributedgenerator,DG)的故障电流完全由其控制策略决定,其传统的等值模型通常与常规电源类似,而忽视了控制策略的影响,造成含DG配电网故障分析存在局限性,尤其对于非对称故障情况。为此,首先对DG的相间短路故障穿越控制特性进行分析,针对正序分量控制的DG提出了压控电流源等值模型;在此基础上,通过建立DG输出电流与公共联接点(point of common coupling,PCC)正、负序电压之间的关系方程式,推导出不同的相间短路故障条件下PCC正序电压的求解方程组,从而建立含DG配电网相间短路故障分析精确模型。基于DIgSILENT建立含DG配电网模型,仿真结果验证了该故障分析方法的正确性。
