1. 湘潭大学信息工程学院, 湖南省湘潭市 411105; 2. 湖南省风电装备与电能变换协同创新中心(湘潭大学), 湖南省湘潭市 411105
1. College of Information Engineering, Xiangtan University, Xiangtan 411105, China; 2. Cooperative Innovation Center for Wind Power Equipment and Energy Conversion (Xiangtan University), Xiangtan 411105, China
According to the current situation that the schedulable factors of gas-electricity integrated energy system(GEIES)are not fully explored, and the uncertainty of the prediction error of wind power is not fully considered, a day-ahead interval optimization dispatch method of GEIES with wind power is studied. Firstly, the uncertainty of wind power is described in intervals based on the interval mathematics. Some resources and technologies such as pumped storage, bidirectional gas-electricity transformation and demand response, are considered comprehensively. The optimization goal and optimization constraints are all expressed by interval mathematics, and the day-ahead optimization model of GEIES with high proportion of wind power is formulated to optimize the economy and environmental protection of the system. Then, the interval optimization model is transformed into a deterministic optimization model based on the interval order relationship and possibility which is solved by Jaya algorithm to ensure the efficiency of the solution and the feasibility of the solution space. Finally, a case study has been carried out. The simulation results show that comprehensive utilization of pumped storage, bidirectional gas-electricity transformation and demand response for interval optimization can obtain better optimization effects, which can provide the information for system dispatchers on the impact of wind power uncertainty on system optimization.
SU Yongxin, NIE Weiqi,TAN Mao.Day-ahead Interval Optimization of Integrated Energy System Considering Wind Power Integration and Gas-Electricity Transformation[J].Automation of Electric Power Systems,2019,43(17):63-71. DOI:10.7500/AEPS20180725002.