南方电网数字电网研究院有限公司

In response to the operation problem of electric vehicle charging spots with grid forming capabilities with-in grid-connected micro-grids,this paper studies an optimization method for the operation of grid-forming charging spots based on stochastic scenario matching,which provides decision support for the optimization of bi-directional power allocation operation of grid-forming charging spots in grid-connected micro-grids.This paper first discusses the structure and operation mode of a micro-grid system with grid-forming charging spots.Then,a two-stage sto-chastic operation optimization model considering the randomness of distributed power sources,loads,and electric vehicles is constructed,and a scenario tree based random matching optimization method is proposed.Finally,the effectiveness of the proposed method is demonstrated through experiments.The results show that the proposed meth-od can obtain a control strategy close to the actual system operation logic,providing effective support for the power allocation of grid-forming charging spots.

To accurately estimate the carbon emission obligation of the user side of a new power system and promote the continuous development of low-carbon electricity， this study uses the node carbon intensity calculation method to characterize the carbon flow distribution of the system and preliminarily calculates the carbon emission obligation on the load side. Moreover， under the premise that the total carbon emission obligation allocation amount remains unchanged before and after correction， the initial carbon emission obligation on the load side is modified and analyzed based on an innovative combination of the comprehensive load method， where the peak load characteristics of the user at the current stage are fully considered. Next， considering the long-term changes in electricity demand and emission reduction capabilities on the load side， a carbon emission obligation allocation interval reflecting the long-term electricity consumption characteristics of the users was constructed. Based on this， the satisfaction of each load node with the carbon emission obligation accounting results was accurately evaluated， providing a direction for the formulation of low-carbon transformation strategies and the construction of demand-side response capabilities in the power system. The application results in the 14-node power system show that compared to the initial accounting results of the node carbon intensity allocation method， the load-side carbon emission obligation accounting results based on the user electricity consumption characteristics of the power system are both reasonable and accurate， providing data support for the clean and low-carbon development of the power industry， and have a certain reference value.

The power grid dispatching automation system consists of many subsystems,and each subsystem suffers different risk attacks.As a result,it is difficult to comprehensively detect the network security risks of the power grid dispatching automation system,and the security defense effect is poor.In order to solve this problem,the security defense technology of power grid dispatching automation system based on hierarchical protection is proposed.This pa-per analyzes the current security protection status of power grid dispatching system,and establishes the security pro-tection system of power grid dispatching system from four aspects of terminal security,network security,dispatching security and data security by using the hierarchical protection idea.The analytic hierarchy process(AHP)is intro-duced to construct a security defense model composed of criterion layer,target layer and index layer,calculate the consistency index of the model layer by layer,and then,complete the consistency check of the model as a whole,so as to realize the security defense of the power grid dispatching automation system.By setting up an experimental envi-ronment and conducting experimental comparisons with other algorithms,the results show that the proposed method has a very ideal security defense effect and can defend against three different types of attacks at the same time.

The novel power system adopts the Internet of things architecture to deploy the new architecture of the power system,which is the key technology for the development of traditional power grid to transform to new energy Internet.How to make real-time,efficient and low-cost data transmission for the massive data generated in power grid is a key is-sue.In order to solve the contradiction between transmission cost and transmission rate in the process of power grid data transmission,a low-cost and efficient power data transmission method based on compressed sampling matching pursuit(CoSaMP)technology is studied in this paper.The original data of power grid is randomly sampled and compressed.The compressed data is transmitted.Finally,the compressed data is restored by reconstruction algorithm.The proposed method is verified by a simulation example,and the proposed method is compared with several traditional data recon-struction algorithms.The simulation results show that the proposed CoSaMP method can restore the original signals and effectively improve the effectiveness of power grid data transmission within the allowable errors.

In response to the problems of reduced grid stability and lack of interaction between charging piles and the power grid caused by the integration of electric vehicles into the grid for charging,this paper designs a grid type charging pile system that considers the participation of electric vehicles.The overall structure of the grid type char-ging system is proposed,taking into account the convenience of primary and secondary integration and the reliability of the board,a universal control board is designed.The vehicle to grid(V2G)interaction model and virtual syn-chronous generator(VSG)control model are established for electric vehicles.A charging pile control strategy is proposed,consisting of an improved VSG algorithm based on V2G and a two-layer control strategy for the underly-ing model predictive control(MPC).The example verifies that,compared to the traditional VSG control algorithm,the total harmonic distortion is reduced from 11.79%to 2.94%,proving that the designed system can improve the stability of electric vehicle integration.