No abstract

In the reform of the electricity market, along with the gradual opening of the electricity sales side as well as the increase in the proportion of residential electricity consumption, the user load of the demand side has become an essential resource for demand response (DR). To efficiently utilize the residential load resources, new market participants, such as load aggregator (LA) have emerged. First, the basic concept of load aggregator is introduced in this paper, the origin and definition of LA is studied, and the classification of aggregated resources and the current situation of LA operation in some countries are presented. Then the article analyzes the market operation mode of LA and the uncertainty of LA in operation in detail, including the LA service on the user side, transaction mode and hierarchical structure associated with the operation, the uncertainty classification analysis, and associated strategies to address the problem. The LA load integration method and the scheduling control strategy are discussed. Finally, suggestions and ideas on the future research direction are proposed.

Abstract. This paper proposes a mathematical model of power grid section transmission limit under the constraints of N-1 contingency analysis and interruptible load management. By loosen the conditions of traditional N-1 analysis with the interruptible load management on demand side, an improved power grid section transmission limit model considering the interruptible load and power flow constraints is established. The opposite-quantities-adjusted in pairs method based on branch sensitivity is studied and proposed to solve the model. The quantitative relationship between the increments of the grid section transmission limit and the load interrupted quantities is tested with the IEEE39-bus testing system. The simulation result shows that the application of interruptible load can improve the grid section transmission limit, as well as improving the operation economy while the security of the power system is guaranteed.

Abstract. This paper aims to establish a suitable wind power forecasting model used to forecast the power of the wind farm. An improved real-time series model is built by linear function and Fourier function. For raw data, the picture of historical data is adopted to correct them. In order to improve the prediction accuracy of wind power, it proposes the linear combination model based on improved time series model and grey model. The model uses a fixed weight method. Mathematical analysis and calculation results show that combination model, which has certain reference value, is simple and can improve the prediction accuracy overall.

No abstract