An analysis model of power system with large-scale wind power and transaction mode of direct power purchase by large consumers involved in system scheduling

Large-scale integration of wind power makes the peak regulation become more and more complex. At the same time, the influence on power system by carrying out the transaction mode of direct power purchase by large consumers is still urgently needed to research because this transaction mode is a key link of innovation in electric power market to introduce competition in the retail side. Therefore, depending on the attention degree of wind power the decision makers pay, two system scheduling models with this transaction mode involved in were set up. Those were comprehensive benefits priority scheduling model and wind power priority scheduling model. These two models both aimed to maximum the expected profit of power generation system considering the randomness of the wind power output. Then auto-regressive and moving average (ARMA) model and Monte Carlo technique were taken to simulate a large number of wind power scenarios, and scenario reduction algorithm is developed to get a finite number of representative scenarios. Also, peak and valley time price was considered and mixed integer programming technique were used to obtain the operational aspects of every unit and the arrangement of the power directly purchased by the large consumers in all scenarios. What's more, the economic and running benefits of this transaction mode could also be calculated using above methods. Test system is used to verify the rationality and feasibility of the proposed models and algorithm. ©2015 Chin. Soc. for Elec. Eng.