中国电机工程学报2017，Vol.37Issue(12)：3383-3390,8.DOI:10.13334/j.0258-8013.pcsee.160905
计及不平衡功率最优分配的直流电压斜率控制策略研究
Study on DC Voltage Slope Control Strategy Considering the Optimal Unbalanced Power Allocation
摘要
Abstract
For the imbalance of power allocation when the loads changes in the Multi-terminal HVDC transmission system,a DC voltage slope control strategy was proposed.The control strategy uses hierarchical control,including processing layer and implementation layer.In the processing layer,a mathematical model of unbalanced power allocation was established,namely the OUPA mathematical model.The minimum of the extra generation cost was set as the objective function,and the constraints include the line capacity,generator capacity,converter station capacity and power balance.The optimal solution of the model was gained by applying Lagrange multiplier method.And then the unbalanced power was allocated optimally by implementation layer.A five-terminal VSC-MTDC simulation model in the Matlab/ Simulink platform was built in the article,three situations have been simulated and discussed.The simulation results show that the proposed control strategy can reduce the extra generation cost greatly and when faults happen,the DC voltage can be stabilized and maintain the power balance.Besides,the control strategy has the advantages of simple structure,strong robustness and easy to implement.关键词
电压源型多端直流输电/不平衡功率/不平衡功率最优分配/分层控制/直流电压斜率控制Key words
voltage source converter multi-terminal HVDC transmission (VSC-MTDC)/unbalanced power/optimal unbalanced power allocation (OUPA)/hierarchical control/DC voltage slope control分类
信息技术与安全科学引用本文复制引用
江斌开,王志新,邹建龙,史莉..计及不平衡功率最优分配的直流电压斜率控制策略研究[J].中国电机工程学报,2017,37(12):3383-3390,8.基金项目
国家863高技术基金项目(2014AA052005) （2014AA052005）
国家自然科学基金项目(51377105) （51377105）
上海市闵行区产学研合作计划(2014MH103).The National High Technology Research and Development of China 863 Program (2014AA052005) （2014MH103）
Project Supported by National Natural Science Foundation of China (51377105) （51377105）
Project Supported Science & Technology Program of Minhang District of Shanghai of China (2014MH103). （2014MH103）
