To operate the distribution network properly is a great challenge when numerous intermittent distributed generators are involved. A novel approach for solving this issue is proposed in this paper, which is based on the three-terminal flexible multi-state switch. The three-terminal flexible multi-state switches, which are controllable, are adopted to replace the traditional tie switch and to increase the flexibility of distribution network operation and control. The timing characteristics of distribution network operation are considered, and the controllable load and the three-port flexible multi-state switch are introduced into this methodology. A multi-objective operation optimization model for an active distribution network is developed, i.e., the objective functions are designed to minimize the operating cost of the distribution network and to minimize the voltage deviation in multiple periods with consideration of demand response according to the characteristics of the active distribution network. The effectiveness of the proposed method is validated based on the IEEE 33-node test feeder by the combined Particle Swarm Optimization algorithm. The results show that the coordinated optimization of the flexible multi-state switch and the demand response improve the distribution network voltage levels significantly, which will not only bring the economic efficiency but also improve the safety and reliability of the system.

As a new type of power electronic device, Soft Normally Open Point (SNOP) can replace the traditional tie switch in distribution network to realise uninterrupted flexible regulation of power flow and optimise voltage profile. Several possible joining topologies and working modes of the three‐port SNOP in the distribution network is discussed here. For the back‐to‐back three‐port SNOP topology, a three‐port SNOP coordination control strategy based on Finite‐Control‐Set Model‐Predictive Control (FCS‐MPC) is proposed, which has many advantages of clear principle, simple implementation, and fast dynamic response. The dynamic mathematical model of three‐port SNOP is established, and the working mode set is proposed. Based on FCS‐MPC, the control algorithms of U _dc Q mode, PQ mode, and CVCf mode are implemented. Accordingly, coordination control strategy between the modes of three ports is presented. In order to verify the feasibility of the proposed scheme, a three‐port back‐to‐back SNOP simulation model was built using Matlab/Simulink. The simulation results show that the proposed coordination control strategy can effectively achieve multi‐port coordinated control which can provide a flexible solution for applications of multi‐port SNOP.

Appropriate cooling of the converter valve in a high-voltage direct current (HVDC) transmission system is highly significant for the safety, stability, and economical operation of a power grid. The proper adjustment of cooling measures is based on the accurate perception of the valve’s future overtemperature state, which is characterized by the valve’s cooling water temperature. However, very few previous studies have focused on this need, and the existing Transformer model, which excels in time-series predictions, cannot be directly applied to forecast the valve overtemperature state. In this study, we modified the Transformer and present a hybrid Transformer–FCM–NN (TransFNN) model to predict the future overtemperature state of the converter valve. The TransFNN model decouples the forecast process into two stages: (i) The modified Transformer is used to obtain the future values of the independent parameters; (ii) the relation between the valve cooling water temperature and the six independent operating parameters is fit, and the output of the Transformer is used to calculate the future values of the cooling water temperature. The results of the quantitative experiments showed that the proposed TransFNN model outperformed other models with which it was compared; with TransFNN being applied to predict the overtemperature state of the converter valves, the forecast accuracy was 91.81%, which was improved by 6.85% compared with that of the original Transformer model. Our work provides a novel approach to predicting the valve overtemperature state and acts as a data-driven tool for operation and maintenance personnel to use to adjust valve cooling measures punctually, effectively, and economically.

The present paper relates to a new scheme used in high speed and high precise IC assembly equipment. Firstly, the author presents a new Hand-Eye Separation motion platform. Secondly, according to the analysis of assembly and manufacturing errors influence on perpendicularity in this platform, this paper presents a new method for error compensate base on coordinate transformation. An application at RFID Packaging and Assembly Equipment is used to provide realism. The result shows that this scheme can help ensure the stability of equipment operation and improve positioning accuracy.

With the continuous growth of large scale of renewable energy power generation such as wind power and solar power, the power system is facing greater pressure of operation and peak load regulation. How to evaluate the acceptable installed capacity of renewable energy or the maximum renewable energy output that the power grid can absorb is an urgent problem to be studied. This paper presents a renewable energy consumption calculation method of regional power grid based on power system sequential production simulation. This method can take units maintenance plan formulation and complementarity of multi-type power units in the power grid into account, and evaluate the renewable energy consumption capacity of regional power grid. Based on this method, a renewable energy consumption calculation system is developed and put into practical use. Relevant examples show the practicability and effectiveness of this method and simulation system.