摘要
提出一种考虑潮流倒送约束的配电网分布式光伏电站选址定容规划方法。该方法利用序贯蒙特卡洛模拟法处理光伏出力及负荷的时序性和随机性,以配电网对主网电能的需求最小为优化目标,以安装断路器的支路潮流不倒送和节点电压不越限为约束,在提高分布式光伏接入容量、减少碳排放量的同时,避免了常规选址定容模型引起的安装断路器支路潮流倒送频率高、危及现有配电网安全运行的不足。最后,采用性能良好的生物地理学优化算法对所建模型进行求解,在IEEE33节点系统上验证了所提方法的有效性。
A siting and sizing method for the distributed photovoltaic power station in distribution network considering reverse power flow constraints is proposed.This method employs sequential Monte-Carlo simulation to deal with time-sequence and randomness characteristics of load and photovoltaic power output.The minimum electric energy demand from the main grid is taken as the optimization objective.The constraints are freedom from reverse power flow in distribution line equipped with circuit breaker with no bus voltage exceeding limit.While increasing the penetration of distributed photovoltaic generation and decreasing carbon emission,the proposed model makes it possible to avoid high frequency occurrences of the reverse power flow on the branch equipped with circuit breaker in the most commonly used model that endangers safe operation of the existing distribution network.Finally,the biogeography-based optimization algorithm with good performance is employed to solve the new optimization model.An IEEE 33-bus system has verified the effectiveness of the proposed method.
出处
《电力系统自动化》
EI
CSCD
北大核心
2014年第17期43-48,共6页
Automation of Electric Power Systems
基金
国家自然科学基金资助项目(51167012)
江西省教育厅科技计划资助项目(GJJ14165)~~
关键词
分布式光伏电站
选址定容
碳排放
序贯蒙特卡洛模拟
生物地理学优化算法
distributed photovoltaic power station
siting and sizing
carbon emissions
sequential Monte-Carlo simulation
biogeography-based optimization algorithm
