• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>2015 5th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies >Optimal planning of wind and PV capacity in provincial power systems based on two-stage optimization algorithm
【24h】

Optimal planning of wind and PV capacity in provincial power systems based on two-stage optimization algorithm

机译：基于两阶段优化算法的省级电力系统风电和光伏容量优化规划

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

With the rapid development of wind power and photovoltaic (PV) power industry, the curtailment of wind power or PV power in `Three North' areas is serious, due to their short planning and construction time period, as well as being disjoined with the regional generation and grid plan. A novel formulation based on two-stage optimization under low-carbon economy is proposed in present paper to optimize the proportion of wind and PV capacity for provincial power systems, in which, carbon emissions of generator units and features of renewable resources are all taken into account. In the lower-level formulation, a time-sequence production simulation (TSPS) model that is suitable for actual power system has been adopted. In order to maximize benefits of energy-saving and emissions reduction resulted from renewable power generation, General Algebraic Modeling System (GAMS), a commercial software, is employed to optimize the annual operation of the power system. In the upper-level formulation, a hybrid bacterial foraging algorithm and particle swarm optimization (BFAPSO) algorithm is utilized to optimize the proportion of wind and PV capacity. The objective of the upper-level formulation is to maximize benefits of energy conservation and carbon emissions reductions optimized in the lower-level problem. Simulation results in practical provincial power systems validate the proposed model and corresponding solving algorithms. The optimization results can provide support to policy makers to make renewable energy related policies.
机译：随着风电和光伏发电行业的快速发展，“三北”地区的风电或光伏发电由于其规划和建设时间短以及与地区脱节而受到严重限制。生成和网格计划。提出了一种在低碳经济下基于两阶段优化的新公式，以优化省级电力系统的风能和光伏容量比例，其中将发电机组的碳排放量和可再生资源的特征都考虑在内帐户。在较低级别的公式中，采用了适合实际电源系统的时序生产仿真（TSPS）模型。为了最大程度地利用可再生能源发电产生的节能减排效果，通用代数建模系统（GAMS）是一种商业软件，用于优化电力系统的年度运行。在高层配方中，使用混合细菌觅食算法和粒子群优化算法（BFAPSO）算法来优化风能和光伏发电能力的比例。上层公式的目的是使在下层问题中优化的节能和减少碳排放的收益最大化。实际省级电力系统的仿真结果验证了所提出的模型和相应的求解算法。优化结果可以为决策者制定可再生能源相关政策提供支持。

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