Research On The Applications Of The Robust Optimization On The Wind Power Capacity Allocation And The Day-Ahead Scheduling In The Power Systems

To cope with the serious energy crisis and climate change, wind power generation, as the most mature technologies used world-wide, has made a further step of development. However, the uncertainty and uncontrollable generation pattern in wind farms pose huge challenges on electricity power system, such as the impact on the wind generation expansion and dispatching operation process, etc. The traditional method relies on reliable power generation for wind generation expansion or dispatching operation problem. As a result, the traditional deterministic method may no longer be applicable in the system with high penetration of stochastic wind power. In this paper, the robust optimization approach is adopted to tackle with wind uncertainty in the condition that decision makers only have incomplete information about wind generation. Based on this, this paper mainly focuses on two issues: one is the wind power capacity allocation problem, the other is the day-ahead unit commitment problem, so as to improve the penetration of wind energy and promote its development target.The main contributions of our work are summarized below.For the problems of wind generation expansion. Firstly, a stochastic wind power capacity allocation model is constructed to maximize the installed wind power capacity. It aims to determine the optimally installed wind capacity along with the connection sites of wind farms. Secondly, the uncertainty sets are used to describe the wind power uncertainty. Moreover, based on the complementary technique, a linear re-dispatching strategy is developed for conventional generators to deal with wind ramp events. Afterward, by applying the robust optimization approach, the stochastic model can be transformed into a deterministic linear programming formulation. Finally, the feasibility of proposed model is validated on the Graver-6 bus system and the IEEE-118 bus systems. Through analyzing the key factors influencing the wind power capacity allocation, it can provide helpful advices for wind power generation expansion problem.For the problems of the day-ahead scheduling. Firstly, a coordinated operation model for wind farms and pumped storage is constructed to minimize the total fuel consumptions. It aims to determine the unit commitment decisions and dispatching strategy. Secondly, wind power output is defined by uncertainty set. Moreover, it makes full use of the flexible power generations so as to operate coordinately. To deal with the wind ramp events, a linear redispatching strategy is developed for some of the coal-fired plants to follow the deviation adjustment instructions. By applying robust optimization theory, the stochastic model is transformed into the deterministic form. Finally, the feasibility of proposed model is validated on the Graver-6 bus system and the IEEE-118 bus systems. Through analyzing the key factors influencing the fuel consumptions, it can provide helpful advices for the day-ahead operation.