摘要
考虑到电-气联合系统中风能、太阳能等间歇性能源的输出功率皆为随机量,基于随机机会约束理论建立以电-气联合系统最大供电能力与燃气电站选址定容为目标的优化模型,计及配网主变和馈线N-1约束、天然气网管道流量供给约束、电-气互联节点功率约束、分布式电源出力等约束,引入考虑混沌扰动的嵌套粒子群算法对所建立的模型进行求解。结果表明所采用的算法寻优能力强,收敛速度快。在最大供电能力和燃气电站投资成本取不同权重时计算两者的最优解,得到的结果可验证所提出模型的准确性和可适用性。
Because the power output of wind turbine and photovoltaic of electric-gas combined system is the random quantity,the stochastic chance constraint theory is used to improve the inequality constraints of the established model.The objective function of the model considers the total supply capacity(TSC)and the locating and sizing of natural gas fired power plant(NGFPP).The model takes into account the N-1 constraints of main transformer and feeder,the constraint of pipeline flow,the coupling constraints of electric power system and natural gas system,the constraints of distributed generation output power.The method combined chaos theory with nested particle swarm optimization(NPSO)algorithm considering chaos disturbance is utilized to solve the model.The simulation results demonstrate that the NPSO algorithm has strong optimization ability and quick convergence speed.Finally,a case study is presented to calculate the optimum solution set when the TSC and investment cost of NGFPP have different weight coefficients.The feasibility and applicability of the model are verified by extensive case analyses.
作者
李晓英
张巍
Li Xiaoying;Zhang Wei(Department of Electrical Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China)
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2020年第4期366-372,共7页
Acta Energiae Solaris Sinica
关键词
燃气轮机
随机输入
约束理论
选址定容
电-气联合系统
最大供电能力
natural gas fired power plant
random inputs
constraint theory
locating and sizing
electric-gas combined system
total supply capacity
