The first phase project of Huitengxile Wind Power Generation Farm in Inner Mongolia, with nine 600 kW wind power generators installed, was formally put into commercial operation on November 28,
Along with the increasing integration of renewable energy generation in AC-DC power networks,investigating the dynamic behaviors of this complex system with a proper equivalent model is significant.This paper presents...Along with the increasing integration of renewable energy generation in AC-DC power networks,investigating the dynamic behaviors of this complex system with a proper equivalent model is significant.This paper presents an equivalent modeling method for the AC-DC power networks with doubly-fed induction generator(DFIG)based wind farms to decrease the simulation scale and computational burden.For the AC-DC power networks,the equivalent modeling strategy in accordance with the physical structure simplification is stated.Regarding the DFIG-based wind farms,the equivalent modeling based on the sequential identification of multi-machine parameters using the improved chaotic cuckoo search algorithm(ICCSA)is conducted.In light of the MATLAB simulation platform,a two-zone four-DC interconnected power grid with wind farms is built to check the efficacy of the proposed equivalentmodelingmethod.Fromthe simulation analyses and comparative validation in different algorithms and cases,the proposed method can precisely reflect the steady and dynamic performance of the demonstrated system under N-1 and N-2 fault scenarios,and it can efficiently achieve the parameter identification of the wind farms and fulfill the equivalent modeling.Consequently,the proposed approach’s effectiveness and suitability are confirmed.展开更多
This paper presents a method for reliability evaluation of a hybrid generation system of wind and tidal powers with battery energy storage.Such a system may widely exist in coastal areas and islands in the future.A ch...This paper presents a method for reliability evaluation of a hybrid generation system of wind and tidal powers with battery energy storage.Such a system may widely exist in coastal areas and islands in the future.A chronological multiple state probability model of tidal power generation system(TPGS)considering both forced outage rate(FOR)of the TPGS and random nature of tidal current speed is developed.In the evaluation of FORs of TPGS and WPGS(wind power generation system),the delivered power related failure rates of power electronic converters for TPGS and WPGS are considered.A chronological power output model of battery energy storage system(BESS)is derived.A hybrid system of tidal and wind generation powers with a BESS is used to demonstrate the effectiveness of the presented method.In case studies,the effects of various parameters on the system reliability are investigated.展开更多
The objective of this study is to develop a wind farm placement and investment methodology based on a linear optimization procedure.This problem has a major significance for the investment success for the projects of ...The objective of this study is to develop a wind farm placement and investment methodology based on a linear optimization procedure.This problem has a major significance for the investment success for the projects of renewable energy such as wind power.In this study,a mesoscale approach is adopted whereby the wind farm location is investigated in comparison with a microscale approach where the location of each individual turbine is optimized.Specifical study focuses on the placement of a wind farm by economical optimization constrained by the power system,wind resources,and techno-economics.Linear optimization is introduced in this context at the power system which is constrained by wind farm planning.展开更多
评价风电机组健康状态,合理分配风电场中风电机组的功率,对降低风电场的运维成本有着重要意义。首先,利用风电机组监控与数据采集(supervisory control and data acquisition,SCADA)系统中的风电机组历史运行数据,训练基于长短期记忆(lo...评价风电机组健康状态,合理分配风电场中风电机组的功率,对降低风电场的运维成本有着重要意义。首先,利用风电机组监控与数据采集(supervisory control and data acquisition,SCADA)系统中的风电机组历史运行数据,训练基于长短期记忆(long short-term memory,LSTM)网络的风电机组输出功率预测模型。然后,根据预测功率和风电机组实测输出功率的偏差幅值将风电机组的健康状态分为良好、一般、较差等三个类别。最后,综合考虑风电场中每台机组的健康状态、最大发电能力和电网调度部门对风电场下达的发电指令,建立目标函数和约束条件,采用遗传算法进行求解,得到分配给每台机组的功率。仿真结果表明,所提出的方法不仅能够根据风电机组的健康状态合理分配机组功率,而且能够满足调度中心下达的风电场总的发电功率。展开更多
文摘The first phase project of Huitengxile Wind Power Generation Farm in Inner Mongolia, with nine 600 kW wind power generators installed, was formally put into commercial operation on November 28,
基金supported by the Science and Technology Project of Central China Branch of State Grid Corporation of China under 5214JS220010.
文摘Along with the increasing integration of renewable energy generation in AC-DC power networks,investigating the dynamic behaviors of this complex system with a proper equivalent model is significant.This paper presents an equivalent modeling method for the AC-DC power networks with doubly-fed induction generator(DFIG)based wind farms to decrease the simulation scale and computational burden.For the AC-DC power networks,the equivalent modeling strategy in accordance with the physical structure simplification is stated.Regarding the DFIG-based wind farms,the equivalent modeling based on the sequential identification of multi-machine parameters using the improved chaotic cuckoo search algorithm(ICCSA)is conducted.In light of the MATLAB simulation platform,a two-zone four-DC interconnected power grid with wind farms is built to check the efficacy of the proposed equivalentmodelingmethod.Fromthe simulation analyses and comparative validation in different algorithms and cases,the proposed method can precisely reflect the steady and dynamic performance of the demonstrated system under N-1 and N-2 fault scenarios,and it can efficiently achieve the parameter identification of the wind farms and fulfill the equivalent modeling.Consequently,the proposed approach’s effectiveness and suitability are confirmed.
基金supported in part by the National “111” Project of China under Grant B08036China State Grid Science and Technology Project(SGCQDK00DJJS1500056)
文摘This paper presents a method for reliability evaluation of a hybrid generation system of wind and tidal powers with battery energy storage.Such a system may widely exist in coastal areas and islands in the future.A chronological multiple state probability model of tidal power generation system(TPGS)considering both forced outage rate(FOR)of the TPGS and random nature of tidal current speed is developed.In the evaluation of FORs of TPGS and WPGS(wind power generation system),the delivered power related failure rates of power electronic converters for TPGS and WPGS are considered.A chronological power output model of battery energy storage system(BESS)is derived.A hybrid system of tidal and wind generation powers with a BESS is used to demonstrate the effectiveness of the presented method.In case studies,the effects of various parameters on the system reliability are investigated.
基金supported by TUBITAK Scholarship(No.B.14.2.TBT.0.06.01-214-6041)Yildiz Technical University Scientific Project Coordination Fund(No.2012-04-02-DOP04)。
文摘The objective of this study is to develop a wind farm placement and investment methodology based on a linear optimization procedure.This problem has a major significance for the investment success for the projects of renewable energy such as wind power.In this study,a mesoscale approach is adopted whereby the wind farm location is investigated in comparison with a microscale approach where the location of each individual turbine is optimized.Specifical study focuses on the placement of a wind farm by economical optimization constrained by the power system,wind resources,and techno-economics.Linear optimization is introduced in this context at the power system which is constrained by wind farm planning.
文摘评价风电机组健康状态,合理分配风电场中风电机组的功率,对降低风电场的运维成本有着重要意义。首先,利用风电机组监控与数据采集(supervisory control and data acquisition,SCADA)系统中的风电机组历史运行数据,训练基于长短期记忆(long short-term memory,LSTM)网络的风电机组输出功率预测模型。然后,根据预测功率和风电机组实测输出功率的偏差幅值将风电机组的健康状态分为良好、一般、较差等三个类别。最后,综合考虑风电场中每台机组的健康状态、最大发电能力和电网调度部门对风电场下达的发电指令,建立目标函数和约束条件,采用遗传算法进行求解,得到分配给每台机组的功率。仿真结果表明,所提出的方法不仅能够根据风电机组的健康状态合理分配机组功率,而且能够满足调度中心下达的风电场总的发电功率。
