Layered Wind Power Dispatching Control Strategy Based on DSA Power Prediction Model

doi:10.3969/j.issn.1000-7229.2019.02.008

Abstract

Abstract: In order to enhance the capacity of wind power high-permeability grid and improve control accuracy and operational economy， this paper improves and proposes a layered control strategy based on DSA power prediction model wind power dispatch. The active power scheduling is divided into system layer， wind farm group layer， group sub-field layer， wind power generation unit layer and feedback correction layer. The DSA model is used to predict the ultra-short-term power output of wind farm， taking into account the constraints of the grid and the safe operation of the wind power units. The coordinated control relationship between levels and corresponding power allocation method for each level are eliminated， and the error is corrected by rolling optimization. Analysis of the example demonstrates the effectiveness of the proposed control strategy. Compared with existing control strategies， the prediction accuracy is higher. Under the condition of large power fluctuation， the root mean square error of the control is small， and the number of starts and stops of the wind power units can be effectively reduced. It reduces the network loss of the system and has the advantages of high control precision and fast response speed.

Key words: wind power dispatching, power allocation, layered control, DSA model, wind power unit grouping

CLC Number:

TM 614

LIU Qi1， FANG Junjun， ZHAO Jie， ZHANG Shengfeng， LIU Dichen，CHEN Yin. Layered Wind Power Dispatching Control Strategy Based on DSA Power Prediction Model[J]. Electric Power Construction, 2019, 40(2): 63-70.

References

［1］阎洁. 风电功率预测不确定性及电力系统经济调度［D］.北京：华北电力大学，2016.
YAN Jie. Uncertainty of wind power forecasting and power system economic dispatch［D］. Beijing: North China Electric Power University，2016.
［2］林俐，谢永俊，朱晨宸，等.基于优先顺序法的风电场限出力有功控制策略［J］.电网技术，2013，37（4）：960-966.
LIN Li， XIE Yongjun， ZHU Chenchen， et al. Priority list-based output-restricted active power control strategy for wind farms［J］. Power System Technology，2013，37（4）：960-966.
［3］郑太一，冯利民，王绍然，等.一种计及电网安全约束的风电优化调度方法［J］.电力系统自动化，2010，34（15）：71-75.
ZHENG Taiyi， FENG Limin， WANG Shaoran， et al. An optimized wind power dispatching method considering security constraints in the power grid［J］. Automation of Electric Power Systems， 2010， 34（15）：71-75.
［4］VENAYAGAMOORTHY G K，ROHRIG K，ERLICH I．One step ahead：Short-term wind power forecasting and intelligent predictive control based on data analytics［J］．IEEE Power and Energy Magazine，2012，10（5）：70-78．
［5］康重庆，贾文昭，徐乾耀，等.考虑网络安全约束的实时风电消纳能力评估［J］.中国电机工程学报，2013，33（16）：23-29.
KANG Chongqing， JIA Wenzhao， XU Qianyao， et al. Capability evaluation of wind power accommodation considering security constraints of power grid in real-time dispatch［J］. Proceedings of the CSEE， 2013， 33（16）：23-29.
［6］陈宁，谢杨，汤奕，等.考虑预测功率变化趋势的风电有功分群控制策略［J］.电网技术，2014，38（10）：2752-2758.
CHEN Ning， XIE Yang， TANG Yi， et al. Strategy for active power control of wind farm in cluster considering variation trend of forecasting power［J］. Power System Technology， 2014，38（10）：2752-2758.
［7］汤奕，王琦，陈宁，等.考虑预测误差分布特性的风电场集群调度方法［J］.中国电机工程学报，2013，33（25）：27-32.
TANG Yi， WANG Qi， CHEN Ning， et al. A dispatching method of active power in wind farm clusters considering probability distribution of forecasting errors［J］. Proceedings of the CSEE， 2013， 33（25）：27-32.
［8］梅华威，米增强，李聪，等.采用机组风速信息动态分类的风电场有功控制策略［J］.中国电机工程学报，2014，34（34）：6058-6065.
MEI Huawei， MI Zengqiang， LI Cong， et al. An active control strategy based on wind speed information dynamic classification for WTGS in wind farm［J］. Proceedings of the CSEE， 2014， 34（34）：6058-6065.
［9］李仕杰，王铁强，刘兴杰.基于机组分类的风电场有功功率控制策略研究［J］.太阳能学报，2014，35（9）：1778-1783.
LI Shijie， WANG Tieqiang， LIU Xingjie. Active power control strategy of wind farms based on state classification algorithm［J］. Acta Energiae Solaris Sinica， 2014， 35（9）：1778-1783.
［10］邹见效，李丹，郑刚，等.基于机组状态分类的风电场有功功率控制策略［J］.电力系统自动化，2011，35（24）：28-32.
ZOU Jianxiao， LI Dan， ZHENG Gang， et al. An active power control scheme for wind farms based on state classification algorithm［J］. Automation of Electric Power Systems， 2011， 35（24）：28-32.
［11］叶林，任成，李智，等.风电场有功功率多目标分层递阶预测控制策略［J］.中国电机工程学报，2016，36（23）：6327-6336，6597.
YE Lin，REN Chen，LI Zhi， et al. Stratified progressive predictive control strategy for multi-objective dispatching active power in wind farm［J］. Proceedings of the CSEE， 2016， 36（23）：6327-6336，6597.
［12］张伯明，陈建华，吴文传.大规模风电接入电网的有功分层模型预测控制方法［J］.电力系统自动化，2014，38（9）：6-14.
ZHANG Boming， CHEN Jianhua， WU Wenchuan. A hierarchical model predictive control method of active power for accommodating large-scale wind power integration［J］. Automation of Electric Power Systems， 2014， 38（9）：6-14.
［13］KHALID M，SAVKIN A V．A model predictive control approach to the problem of wind power smoothing with controlled battery storage［J］．Renewable Energy，2010，35（7）：1520-1526．
［14］GUO Y，WANG W，TANG C Y，et al．Model predictive and adaptive wind farm power control［C］//Proceedings of the 2013 American Control Conference．Washington，DC：IEEE，2013：2890-2897．
［15］仲悟之，李梓锋，肖洋，等.高渗透联网风电集群有功分层递阶控制策略［J］.电网技术，2018，42（6）：1868-1875.
ZHONG Wuzhi， LI Xinfeng， XIAO Yang， et al. Active hierarchical progressive control strategy of highly penetrated networked wind power cluster［J］. Power System Technology， 2018，42（6）：1868-1875.
［16］严干贵，刘嘉，崔杨，等．利用储能提高风电调度入网规模的经济性评价［J］．中国电机工程学报，2013，33（22）：45-52，9．
YAN Gangui，LIU Jia，CUI Yang，et al．Economic evaluation of improving the grid scale of wind power dispatching by using energy storage［J］．Proceedings of the CSEE，2013，33（22）：45-52，9．

[1]	ZHENG Huiping, ZENG Peng, LIU Xinyuan, CHENG Xueting, BO Liming, YANG Weiwei, ZHANG Yifan, CUI Yang. Active Power Layered Control Strategy Based on Error Feedforward Prediction for Multiple Temporal and Spatial Scales Wind Power Cluster [J]. ELECTRIC POWER CONSTRUCTION, 2020, 41(8): 120-128.
[2]	ZHANG Chenyu1, YUAN Xiaodong1, MIAO Huiyu2, ZHENG Jianyong2, YANG Yun2, CHEN Hongfei2. A Control Strategy for Hybrid Energy Storage System in Virtual Synchronous Generator DC-Side [J]. Electric Power Construction, 2018, 39(4): 113-.
[3]	HAN Xuenan1， SU Xiaolin1，YAN Xiaoxia1，WANG Muqing1， LIU Xiaojie2. Electric Power Router Based on Double DC Bus Structure [J]. Electric Power Construction, 2018, 39(3): 83-.
[4]	ZHAO Liwei, ZHANG Xinyan, ZHAO Lifei, YIN Xun,XU Qidan, ZHAO Ang. Research and Analysis on Capacity Allocation of Large Scale Wind-PV-Thermal-Bundled Power [J]. Electric Power Construction, 2016, 37(7): 105-111.
[5]	LIANG Jinhua， YUAN Zengquan， HAN Huachun， XU Haiping. Control Strategy of Power and Time Allocation for Electric Vehicle Charging Station [J]. ELECTRIC POWER CONSTRUCTION, 2015, 36(7): 101-106.
[6]	HUANG Xiuqiong， DING Ruoxing， XIAO Xi， WANG Kui， TIAN Peigen. Role and Capacity Design Method of Supercapacitor in Hybrid Energy Storage System [J]. ELECTRIC POWER CONSTRUCTION, 2014, 35(12): 67-71.