Integrated Scheduling for Power System with High Proportion of Renewable Energy Considering Multiple Time Resolution and Energy Storage System

Abstract

In the context of the clean and low-carbon energy revolution, high proportional renewable energy source (RES) will be one of the basic characteristics of the future power system. The traditional sequential scheduling module exposes serious problems. In order to solve these problems above, this paper establishes an integrated scheduling model, which determines unit reserve, base points (BPs) and participation factors (PFs) at the same time. It realizes the integrated decision-making of unit commitment (UC), economic dispatch (ED), and PFs of automatic generation control (AGC). To accurately capture the newly updated short-term wind power forecast, the finer time resolution is applied in the first few time intervals, such as 5, 15 and 30 min. Simultaneously, for the short-term wind power spike, energy storage system (ESS) as its countermeasure is used to deal with it. The entire model is regarded as a mixed integer linear programming (MILP) model, which is solved by CPLEX solver. The practicality and validity of the proposed model are verified by the IEEE-RTS system. In general, the integrated model proposed in this paper can accommodate more RES integration, relieve wind curtailment, reduce the total cost and improve the security of the power system, which has a wider application prospect in the power system scheduling field.