中国电机工程学报Issue(5)：1072-1078,7.DOI:10.13334/j.0258-8013.pcsee.2015.05.007
基于时序仿真的风光容量配比分层优化算法
Stratified Optimization Algorithm for Optimal Proportion of Wind and Solar Capacity Based on Time Sequence Simulation
摘要
Abstract
With increasing wind and solar penetration into power systems, curtailment has become a particular concern in regional power networks in China. This is largely because the electricity generated by renewable sources cannot be fully consumed due to limited peak load regulation ability of local thermal units and transmission capacity is insufficient to deliver the power to load central afar. A stratified optimization algorithm which is took into account of regional wind solar energy resources was proposed to optimize the proportion of wind and solar capacity on the system based on time sequence simulations. An optimization model for assessing annual wind and solar accommodating capacity in a provincial power system was developed in inner tier. The branch and bound method was applied to optimize annual operation of the power system and thus maximize the environmental benefits and ensure the planning results conforming to actual system operations. An optimization model for evaluating the proportion of wind and solar was developed using the environmental benefits as an objective function in outer tier. A hybrid bacterial foraging algorithm and particle swarm optimization was used to improve the calculation efficiency and accuracy. A provincial power system was used as a case study. The simulation results show that the model and algorithm are feasible for the purposes. This study can provide a useful guidance for regional wind solar development, power system dispatching and renewable energy policy making.关键词
风光配比/时序仿真/粒子群算法/细菌觅食算法/分支定界法Key words
optimal proportion of wind and solar/time sequence simulation/particle swarm optimization (PSO)/bacterial foraging algorithm (BFA)/branch and bound (BAB)分类
信息技术与安全科学引用本文复制引用
曹阳,黄越辉,袁越,王敏,李鹏,郭思琪..基于时序仿真的风光容量配比分层优化算法[J].中国电机工程学报,2015,(5):1072-1078,7.基金项目
“十一五”国家科技支撑计划项目(2013BAA02B01)；国家电网公司科技项目(NY71-14-038)；江苏省普通高校研究生科研创新计划项目(KYLX_0431)；中央高校基本科研业务费学生项目(2014B33314). Project of the National Eleventh-Five Year Research Program of China (2013BAA02B01) （2013BAA02B01）
Project Supported by State Grid Corporation Technology Research Program (NY71-14-038) （NY71-14-038）
Jiangsu Provincial Graduate Education Innovation Project (KYLX_0431) （KYLX_0431）
The Fundamental Research Funds for the Central Universities (2014B33314) （2014B33314）
