摘要
基于配电网供电可靠性分析分布式电源(DG)的选址与定容。在配电网发生故障时由故障前的实际运行情况动态地生成优化孤岛方案,并结合DG出力模型计算各负荷点的可靠性,得到系统电量不足指标;在此基础上,为克服粒子群优化(PSO)算法所存在的早熟问题以及人工鱼群算法(AFSA)的收敛速度过慢缺陷,对粒子人工鱼群混合优化算法进行适应性改进,有效提高了配电网中DG选址与定容优化的计算效率。通过对IEEE-RBTS Bus6系统主馈线F4进行分析,验证了所提方法的有效性和正确性。
The siting and sizing of DG（Distributed Generation） are analyzed based on the power supply reliability of distributed system. During system fault,the optimal islanding scheme is generated according to the actual pre-fault operating conditions ,and the reliability of each load point is calculated together with the DG output model to obtain the energy insufficiency index of system,based on which and aiming at the premature convergence of PSO （Particle Swarm Optimization） algorithm and the slow convergence speed of AFSA（Artificial Fish Swarm Algorithm）,the particle and artificial fish hybrid optimization algorithm is improved in the adaptability to effectively enhance the calculation efficiency of DG siting and sizing optimization for power distribution system. The main feeder F4 of IEEE-RBTS Bus6 system is analyzed,which verifies the effectiveness and correctness of the proposed method.
出处
《电力自动化设备》
EI
CSCD
北大核心
2014年第9期13-20,共8页
Electric Power Automation Equipment
基金
国家高技术研究发展计划(863计划)资助项目(2011AA05A107)
中央高校基本科研业务费专项资金资助项目(CDJZR11150012)
输配电装备及系统安全与新技术国家重点实验室自主研究项目(2007DA10512711208)
重庆市自然科学基金资助项目(CSTC
2011BB6047)~~
关键词
分布式电源
配电
可靠性
评估
选址
定容
粒子人工鱼群
优化
distributed generation
electric power distribution
reliability
assessment
siting
sizing
particle and artificial fish
optimization
