He is mainly responsible for the identification and prediction algorithm of power supply/load characteristics and the development of software. At present, the research work of distributed power supply prediction and load classification has been completed, and corresponding software has been developed to meet the acceptance requirements.

He is mainly responsible for the modeling of the controllable capacity of industrial and commercial subjects in the industrial park and the research of real-time self-optimizing control algorithm. The project started in October 2016 and has entered the stage of theoretical research.

He independently completed the mathematical model of the Robust State Estimation of the Active Distribution Network, taking into account the uncertainty of the parameters of the distributed generation model in the model. The model applies Set Theory Estimation, Interval Analysis and other methods to analyze the influence of parameter uncertainty on the result of state estimation. The demonstration platform is built, and the demonstration platform for the robust state estimation of the active distribution network is established in the smart grid laboratory of Zhejiang University to realize the plug and play of the distributed power supply and improve the practical value of the state estimation results of the distribution network.

The following tasks have been completed independently: the robust state estimation algorithm of radial active distribution network, the robust state estimation algorithm of ring-like active distribution network, the plug and play technology of distributed power supply, the software development of the state estimation system of active distribution network. The project is now finished.

The following tasks have been completed independently: a corresponding algorithm and software are developed for modeling the robust state estimation of island micro grid and its fast solution. The project is now finished.

I The following tasks have been completed independently: the influence of voltage regulation rate of generating set on system stability is studied; The software used for setting difference coefficient of generator set is developed. The setting value of voltage adjustment rate of main units of Fujian power grid is put forward. Simulation and field test were carried out.At present, the project has been checked and accepted.

Main research contents include: based on the current uncertainties in power grid and dispatching operation requirements, considering the load change, climate and uncertain factors such as health equipment, follow the principle of standardization, modular design, according to the operation way of Anhui power grid status and the comprehensive calculation and analysis of its future operation, a multidimensional operation risk assessment system of power grid is proposed. Under the system suitable for anhui power grid operation risk assessment and early warning, the system can provide decision support for the adjustment of power grid maintenance plan and power grid operation mode.At present, the project has been checked and accepted.

The main research contents include :(1) establish the basic framework of functional secondary system risk assessment from the aspects of the concept, object, process and indicators of secondary system risk assessment; (2) the functional hierarchical risk analysis model is established, and the system function tree and function diagram are constructed on the basis of connection and node. The hardware, software, information and human factors in the secondary system are organically integrated. (3) the system function evaluation and risk rating evaluation methods based on nodes and connections are provided, which provides a basis for the quantitative evaluation of function failure loss.At present, the project has been checked and accepted.

Main research contents include :(1) data sharing scheme of grid model based on IEC 61970/61968; (2) research on the integrated high-speed simulation distributed computing architecture of the main distribution network.At present, the project has been checked and accepted.

The main research contents are as follows :(1) study the parallel method of power system power flow calculation; (2) from the perspective of optimization, the solution method of large-scale sparse linear equations is studied. (3) study node numbering optimization method for solving power flow calculation and verify its effectiveness; (4) develop a GPU-based high-performance basic algorithm tool for integrated power grid.At present, the project has been checked and accepted.

The main research contents include :(1) the expression method of state estimation error; (2) measurement matrix constant method; (3) IDU optimal layout model and its solution method; (4) auxiliary decision-making interface for IDU optimization configuration in active power distribution system.At present, the project has been checked and accepted.

The project mainly completed the model verification and data identification software, whose main functions include: power grid model verification, bad data identification, and power grid parameter identification. The project identified the parameters through the historical data, that is, according to the multiple sets of historical profile data, the optimal estimated value of the grid model parameters was obtained. The data visualization technology is fully applied to show the improvement of related indexes after the application of the system; The system shall adopt B/S architecture, and the background shall be deployed on a three-zone server, and the user shall operate through the front page interface. At present, the project is preparing for acceptance.

Main content of the project: analyze the way of erecting between feeder lines; Use SCADA current load as data support to analyze the installed capacity of feeder n-1. The main achievements include: (1) put forward the calculation formula of the installed capacity of feeder n-1; (2) a method for predicting load simultaneity coefficient based on cluster analysis and neural network is proposed. (3) a method for calculating the installed capacity of feeder partition n-1 based on path description is proposed. (4) software module for calculating the installed capacity of feeder partition n-1 is developed.At present, the project is preparing for acceptance.

Main content of the project: through the analysis of historical data, combined with the real-time data of micro grid operation, short-term and ultra-short-term prediction of power generation and load power is realized; A model is established for the common equipment such as fans, photovoltaic, energy storage and diesel generator of the micro grid. The optimization objective is to take economic benefits and environmental protection effects into consideration comprehensively, design optimization algorithm, and realize the software module of the algorithm.At present, the project acceptance is completed.

Main content of the project: the original topology of the power network is generated based on the distribution network structure and operation data. Based on the power flow relationship between the power network equipment, a rapid risk warning method for distribution network in the feed-supply operation mode is proposed. The analysis results are output in the form of warning notification.

At present, the first phase and second phase of the project have been completed.

Main content of the project: establish a panoramic information sharing platform based on unified standard, and main work includes (1) establish multi-dimensional object-oriented models such as physical model, asset model, calculation model, three-dimensional model and geographic location model; (2) establish multi-state data centers for real time, historical state, simulation state and planning state oriented to the value attributes of power object. Finally, it can realize the unified storage and access of integrated model, data management and mass information, and provide solid data access and function call services for multi-dimensional and multi-temporal data high-level display, intelligent analysis and secondary development of application. On this basis, the integrated visual presentation of active distribution network dispatching monitoring, analysis, control and auxiliary decision-making can be realized. At present, the first phase of the project is preparing for acceptance.

Main content of the project :(1) complete electrical equipment data access; (2) complete the reading interface of real-time data and historical data in the gateway; (3) complete the data interface with the cloud platform for electricity data collection; (4) realize the optimization control function of industrial and commercial subjects; Use the Internet of things for industrial energy saving data collection, Use gateway control and cloud platform for big data analysis.The project is currently under implementation.