针对直流微电网高比例可再生能源的功率波动和直流电力弹簧(DC electric spring,DCES)参数摄动对系统电能质量的影响,提出一种简单的多DCES分层控制策略,实现直流母线电压平稳与关键负载的可靠运行。下层控制设计基于DCES开关模态的模...针对直流微电网高比例可再生能源的功率波动和直流电力弹簧(DC electric spring,DCES)参数摄动对系统电能质量的影响,提出一种简单的多DCES分层控制策略,实现直流母线电压平稳与关键负载的可靠运行。下层控制设计基于DCES开关模态的模型预测方法(model predictive control,MPC),建立以快速跟踪电感电流期望轨迹为目标的系统评价函数,实现各段直流母线电压波动的快速平抑。上层控制采用一致性算法动态调节直流电压母线参考值,同时求取下层控制器所需的电流期望轨迹,仅需本地信息和相邻信息即可实现多DCES的协调控制和直流母线电压平稳控制,闭环控制系统的全局稳定性可由Lyapunov稳定性定理证明。基于MATLAB/Simulink的仿真结果和基于dSPACE的实验结果验证了所提出方法具有动态响应快、稳定性好、鲁棒性高的特点。展开更多
A novel distributed model predictive control scheme based on dynamic integrated system optimization and parameter estimation （DISOPE） was proposed for nonlinear cascade systems under network environment. Under the d...A novel distributed model predictive control scheme based on dynamic integrated system optimization and parameter estimation （DISOPE） was proposed for nonlinear cascade systems under network environment. Under the distributed control structure, online optimization of the cascade system was composed of several cascaded agents that can cooperate and exchange information via network communication. By iterating on modified distributed linear optimal control problems on the basis of estimating parameters at every iteration the correct optimal control action of the nonlinear model predictive control problem of the cascade system could be obtained, assuming that the algorithm was convergent. This approach avoids solving the complex nonlinear optimization problem and significantly reduces the computational burden. The simulation results of the fossil fuel power unit are illustrated to verify the effectiveness and practicability of the proposed algorithm.展开更多
文摘针对直流微电网高比例可再生能源的功率波动和直流电力弹簧(DC electric spring,DCES)参数摄动对系统电能质量的影响,提出一种简单的多DCES分层控制策略,实现直流母线电压平稳与关键负载的可靠运行。下层控制设计基于DCES开关模态的模型预测方法(model predictive control,MPC),建立以快速跟踪电感电流期望轨迹为目标的系统评价函数,实现各段直流母线电压波动的快速平抑。上层控制采用一致性算法动态调节直流电压母线参考值,同时求取下层控制器所需的电流期望轨迹,仅需本地信息和相邻信息即可实现多DCES的协调控制和直流母线电压平稳控制,闭环控制系统的全局稳定性可由Lyapunov稳定性定理证明。基于MATLAB/Simulink的仿真结果和基于dSPACE的实验结果验证了所提出方法具有动态响应快、稳定性好、鲁棒性高的特点。
基金This work was supportedbytheNationalNaturalScienceFoundationofChina(No.60474051),theProgramforNewCenturyExcellentTalentsinUniversityofChina(NCET),andtheSpecializedResearchFundfortheDoctoralProgramofHigherEducationofChina(No.20020248028).
文摘A novel distributed model predictive control scheme based on dynamic integrated system optimization and parameter estimation （DISOPE） was proposed for nonlinear cascade systems under network environment. Under the distributed control structure, online optimization of the cascade system was composed of several cascaded agents that can cooperate and exchange information via network communication. By iterating on modified distributed linear optimal control problems on the basis of estimating parameters at every iteration the correct optimal control action of the nonlinear model predictive control problem of the cascade system could be obtained, assuming that the algorithm was convergent. This approach avoids solving the complex nonlinear optimization problem and significantly reduces the computational burden. The simulation results of the fossil fuel power unit are illustrated to verify the effectiveness and practicability of the proposed algorithm.
