Analysis of Renewable Energy Consumption and Economy Considering the Joint Optimal Allocation of "Renewable Energy + Energy Storage + Condenser"

Abstract

The power system presents a "double high" characteristic with an increased renewable energy penetration rate. Taking renewable energy as the main body brings significant challenges to the safe and stable operation of the power grid. On the one hand, the voltage support capacity of the renewable energy grid point must be improved due to the weak support of renewable energy power generation equipment. There is a severe energy phenomenon of abandonment and power limitation. On the other hand, due to the volatility and randomness of the renewable energy output, the power abandonment of renewable energy is serious. "Renewable energy + energy storage + condenser" joint intelligent control and optimization technology can effectively improve the limit of renewable energy delivery capacity, improve the utilization rate of renewable energy, and meet the demand for renewable energy delivery and consumption. Firstly, according to the definition of the MRSCR index, the mechanism of distributed condensers to improve the short circuit ratio is analyzed. Secondly, taking the minimum total cost of system operation as the optimization objective, a time series production simulation optimization model is established, and a time series production simulation optimization method considering the joint optimization configuration of "renewable energy + energy storage + condenser" is proposed. Finally, through the joint calculation of BPA, SCCP, and production simulation model, the actual large-scale renewable energy and thermal power are combined through the AC/DC transmission system as an example to verify. The research results show that "Renewable energy + energy storage + condenser" joint intelligent control and optimization technology can improve renewable energy sending and absorbing capacity and bring good economic benefits.