首页> 外文会议>IEEE International Conference on Energy Internet >Multi-Objective Optimal Day-Ahead Dispatching for Offshore Integrated Electricity and Natural Gas Energy System Considering Load Forecasting
【24h】

Multi-Objective Optimal Day-Ahead Dispatching for Offshore Integrated Electricity and Natural Gas Energy System Considering Load Forecasting

机译:考虑负荷预测的海上电力与天然气综合能源系统多目标最优日前调度

获取原文

摘要

In order to ensure the stable economic operation of the offshore oilfield group system, day-ahead dispatching plan should be formulated. This paper seeks to minimize system operation cost and deviation in nodal voltage magnitudes and gas pressures, and a multi-objective optimal day-ahead dispatching model is established. Based on the constraints of offshore power grid and natural gas pipeline network, a short-term load forecasting model with interval time series auto-regressive integrated moving average method is built. The model focuses on gas turbine generators and P2G technology in the offshore integrated electricity and natural gas energy system. Then a modified particle swarm optimization algorithm is used to obtain the optimal solution for the multi-objective optimal day-ahead dispatching model. Finally, an offshore integrated electricity and natural gas energy subsystem of a certain offshore oilfield group platform in China is taken as an example to carry out simulation calculation and obtain a day-ahead dispatching plan. The results show that the method can realize the day-ahead optimization and dispatching of the offshore integrated electricity and natural gas energy system.
机译:为了保证海上油田群系统经济运行的稳定,应制定日前调度计划。本文试图将系统运行成本和节点电压幅值和气压偏差最小化,并建立了多目标最优日前调度模型。基于海上电网和天然气管网的约束条件,建立了基于区间时间序列自回归综合移动平均法的短期负荷预测模型。该模型着重于海上电力和天然气综合能源系统中的燃气轮发电机和P2G技术。然后使用改进的粒子群算法对多目标最优提前调度模型进行求解。最后,以中国某海上油田群平台的海上电力天然气综合子系统为例,进行了模拟计算,得出了提前调度计划。结果表明,该方法可以实现海上天然气电天然气能源综合系统的日前优化调度。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号