With the growing influence of fog and haze (F-H) weather and the rapid development of distributed energy resources (DERs) and smart grids, the concept of the virtual power plant (VPP) employed in this study would help to solve the dispatch problem caused by multiple DERs connected to the power grid. The effects of F-H weather on photovoltaic output forecast, load forecast and power system dispatch are discussed according to real case data. The wavelet neural network (WNN) model was employed to predict photovoltaic output and load, considering F-H weather, based on the idea of “similar days of F-H”. The multi-objective optimal dispatch model of a power system adopted in this paper contains several VPPs and conventional power plants, under F-H weather, and the mixed integer linear programming (MILP) and the Yalmip toolbox of MATLAB were adopted to solve the dispatch model. The analysis of the results from a case study proves the validity and feasibility of the model and the algorithms.

With the further development of power markets, large amount of electric power wheeling and frequent transmission transaction is emerging, accurately determining available transmission capability (ATC) and broadcasting the ATC information in time are very important to prevent and relieve transmission congestion effectively. In practical power markets, there are large amount of uncertainties involved in transmission reliability margin (TRM) and capacity benefit margin (CBM) of ATC. Considering calculation accuracy and time, a novel approach is proposed to calculate ATC based on Monte Carlo simulation and sensitivity analysis considering large amount of uncertainties impacting the value of ATC. The steady state constraints and voltage stability and transient stability constraints are taken into account. The iterative solution based on PSASP by China EPRI is developed. IEEE 14-bus test system is used to verify the presented approach. The results show that the model and algorithm is correct and effective. The research achievements are undergoing to transfer to the application in certain provincial power system in China, and some new problems are suggested in the end of paper

Available transmission capability (ATC) is the transfer capability remaining in physical transmission network for further commercial activity above existing transmission commitments. ATC is an important reference for market participators to make decisions, as well as a judgment for system operators to alleviate transmission congestion, and a reference for system planning and expansion. Most of the existing ATC calculation methods are mainly based on deterministic techniques. In practical power systems, there are large amount of uncertainties, and power system is dynamic and time-varying. A novel approach is proposed to analyze relevant features of ATC and calculate ATC based on sequential Monte Carlo simulation and linear programming considering uncertainties and time variation of the system. Through long-time simulation and analysis, the distribution features of ATC can be obtained. The algorithm based on MATLAB 6.5 is developed. IEEE 14-bus test system is used to verify the presented approach.

Basic Electricity Market Course is a significant professional course opened for undergraduates especially students of the Department of Electrical Engineering, which involves Power System, Economic Management, Mathematics and Politics and so on, having plenty of different characteristics from other courses. In North China Electric Power University, this course is available for both the Department of Economic Management and the Department of Electrical Engineering, of which the designs and modes of teaching vary from teaching objects greatly. Furthermore, on the background of Smart grid and the construction of Energy Internet, it is of great significance to carry on the teaching study and reform of this course in order to cultivate electric power talents suits the time. This paper puts out a reformation in teaching content, teaching method, and evaluation mode and so on, with practical reform results to analyze the effects of teaching reformation of this course.

Power System Load Forecast is a significant professional course opened for undergraduates especially students of the Department of Electrical Engineering, which involves Power System, Economic Management and Mathematics and so on, having plenty of different characteristics from other courses. On the background of smart grid, it is of great significance to carry on the teaching study and reform of this course in order to cultivate electric power talents suits the time. This paper puts out a reformation in teaching content, teaching method, and evaluation mode and so on, with questionnaires to analyze the effects of teaching reformation of this course.