With the rapid development of renewable energy industry, the proportion of renewable energy sources has gradually increased. The connection between the large-scale uncertain power and the power grid results in transmission congestion, which affects the safe and stable operation of the system. So far, there are two deficiencies in congestion scheduling: one is the lack of research on the influences of users in scheduling process, the other is the lack of integration between scheduling and market transactions. Therefore, in order to effectively solve the problem of congestion caused by renewable energy sources, the scheduling should be further studied as a research field. This paper makes use of plenty of scheduling resources, including various types of power generation enterprises, demand response users and energy storage systems, to establish an optimal congestion scheduling model of intraday market to promote the consumption of renewable energy sources with the target of minimizing the cost of congestion scheduling and the cost of wind power curtailment and solar power curtailment. Finally, the validity of the model for reducing the cost of congestion dispatching and improving the utilization level of renewable energy is verified by carrying out a modified IEEE 14-bus system.

Spot market is now under construction in China, which enriches the power trade greatly, and makes the power market tend to be multiple and diverse. When participating in the multi-market transaction, it is necessary for generation enterprises to develop a scientific strategy in order to search for profit and avoid risk. Firstly, based on the mean-CVaR theory, a multi-market competition model striking the balance between risks and benefits for generation enterprises is proposed in this paper. Then, considering the status quo and prospect of power market in China, a case of generation enterprise participating in long-term market, spot market and operating reserve market is studied with the model, Finally, the correlations between yield rate and CVaR, electricity distribution proportion are analyzed.

With the acceleration of the opening process of the distribution side, the power supply modes of various types of industrial parks have undergone great changes. Therefore, it is significant that we study the evolution mechanism of the power supply mode which plays an important role in forecasting the electricity distribution patterns of park and formulating strategies of the relevant principals' market participation. This paper firstly proposes a method of the research on the evolution of power supply mode of park that based on Apriori algorithm. Then through mining the association rules of the typical features of the regional power supply and the participating ways of the main users, we have analyzed the evolution mechanism of the power supply mode. At last, the effectiveness of the method is verified by the actual data of a certain province in Northwest China.