针对高比例清洁能源接入配电网的背景,对柔性开关(soft open point,SOP)与需求响应(demand response,DR)接入主动配电网优化重构问题展开研究,提出了考虑SOP和DR的配电网重构策略。首先,构建配电网的SOP与DR模型,以综合考虑损耗费用、...针对高比例清洁能源接入配电网的背景,对柔性开关(soft open point,SOP)与需求响应(demand response,DR)接入主动配电网优化重构问题展开研究,提出了考虑SOP和DR的配电网重构策略。首先,构建配电网的SOP与DR模型,以综合考虑损耗费用、运营成本与负载不均衡度为优化目标,建立计及SOP与DR的多目标主动配电网优化重构模型。然后,采用一种改进的规格化法平面约束法(normalized normal constraint,NNC)求解该三目标优化问题的完整Pareto前沿以获得折中最优解。最后以IEEE 33节点配电系统为例进行验证。结果表明综合考虑SOP与DR的配电网重构策略可以有效提升配电网的经济性,提高清洁能源的消纳能力,以及降低系统线路的负载不均衡度。展开更多
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
文摘针对高比例清洁能源接入配电网的背景,对柔性开关(soft open point,SOP)与需求响应(demand response,DR)接入主动配电网优化重构问题展开研究,提出了考虑SOP和DR的配电网重构策略。首先,构建配电网的SOP与DR模型,以综合考虑损耗费用、运营成本与负载不均衡度为优化目标,建立计及SOP与DR的多目标主动配电网优化重构模型。然后,采用一种改进的规格化法平面约束法(normalized normal constraint,NNC)求解该三目标优化问题的完整Pareto前沿以获得折中最优解。最后以IEEE 33节点配电系统为例进行验证。结果表明综合考虑SOP与DR的配电网重构策略可以有效提升配电网的经济性,提高清洁能源的消纳能力,以及降低系统线路的负载不均衡度。
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.
