Based on the PWA (piece wise affine) model of SOFC (Solid Oxide fuel cell), the multi-parametric controller has been designed. The state partition for each affine sub model is calculated offline and the optimal predic...
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ISBN:
(纸本)9781538630136
Based on the PWA (piece wise affine) model of SOFC (Solid Oxide fuel cell), the multi-parametric controller has been designed. The state partition for each affine sub model is calculated offline and the optimal predictive control law for each partition is also obtained as well. Furthermore, the method of targeted amendments is applied to eliminate the steady-state deviation, avoiding to extend state items. Therefore, the multi-parametric control can reduce the amount of calculation and storage. The simulation results show that the designed multi-parametric controller has good control effect.
Virtual Power Plant (VPP) aggregates and coordinates community-owned renewable distributed generations (DGs) and flexibility resources for participating in power system operation. In this paper, the coordinated operat...
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Virtual Power Plant (VPP) aggregates and coordinates community-owned renewable distributed generations (DGs) and flexibility resources for participating in power system operation. In this paper, the coordinated operation problem of VPPs and the distribution system operator (DSO) is formulated as minimizing the total operational cost constrained by linearized three-phase power flow equations and operational constraints. To preserve the VPPs' privacy, the DSO needs to coordinate the VPPs in a distributed manner. However, conventional synchronous distributed methods may suffer from communication delays or failures because of the flimsy communication conditions between DSO and VPPs. We propose an asynchronous distributed algorithm that is robust against communication uncertainties. Firstly, a hybrid alternative direction method of multipliers (ADMM) algorithm is developed, which can be applied to convex problems with promising convergence performance. In the hybrid ADMM framework, the delayed or missing data that transmitted from VPPs are compensated by a novel predicting algorithm combining the multi-parameter quadratic programming (MPQP) and autoregressive integrated moving average model (ARIMA). We prove that the proposed algorithm can converge under imperfect communication condition with some mild assumptions. Numerical tests on IEEE 33-bus and IEEE 123-bus systems indicate that the proposed method has more reliable and faster convergence performance than existing asynchronous methods in all cases.
The performance of current vector control for the permanent magnet synchronous motor(PMSM) is affected by factors such as cross-coupling,applying delay and parameter *** order to solve these problems,a current control...
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ISBN:
(纸本)9781509046584
The performance of current vector control for the permanent magnet synchronous motor(PMSM) is affected by factors such as cross-coupling,applying delay and parameter *** order to solve these problems,a current control strategy based on the model predictive control(MPC) algorithm is *** strategy uses the prediction state of MPC to reduce the effect of output delay on *** the advantages of MPC with multivariable system and system constraints,it can deal well with the current and voltage limitations in actual systems,and ensure the current tracking *** view of the heavy computational burden features of on-line MPC and it is difficult to meet real-time performance in motion control *** this paper,the Explicit Model Predictive Control(EMPC) is *** method solves the optimization problem through off-line multi-parameter quadratic programming(mp-QP).During real-time operation,it only needs to look up the table according to the current state to obtain the control law with affine form in the current optimization *** simulation results show that the method satisfies the system constraints and has good dynamic,static and anti-disturbance performance.
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