考虑网络传输约束的并网光伏发电消纳容量计算
CSTR:
作者:
作者单位:

作者简介:

欧阳聪(1990-),男,硕士研究生,主要研究方向为电力系统优化与控制;E-mail:ouyangcong28@163.com

通讯作者:

中图分类号:

基金项目:


Computing of accommodation capacity of grid-integrated photovoltaic generation considering network’s transmission constraints
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    光伏发电出力具有间隙性和不确定性,其并网接入给电力系统运行带来了巨大的挑战。针对大规模并网光电消纳容量计算问题,构建了一种考虑网络传输约束的消纳分析模型。该模型以最大化光伏电站接入总容量为优化目标,以光伏电站容量及常规机组的启停状态和出力为决策变量,考虑网络传输约束和抽水蓄能电站的特定约束,其本质属于一个混合整数线性规划问题,可采用CPLEX解法器高效求解。并将所提方法应用于某省级电网光伏发电消纳容量计算,验证了其合理性,且光伏电站消纳能力还受其接入位置和出力系数的影响。

    Abstract:

    The output of photovoltaic generation has intermittency and uncertainty and hence its grid integration brings about the big challenge to power system operation. Aiming at how to calculate accommodation capacity of large-scale grid photovoltaic generation, this paper builds an analytical model considering network’s transmission constraints. In this model, the objective is to maximize the capacity of the integrated photovoltaic power stations, outputs of photovoltaic stations and start/stop states and output of the conventional units are defined as the decision variable and meanwhile the network transmission constraints and particular constraints of the pumped storage power stations are considered. In essence, this is a mixed-integer linear programming problem, which can be efficiently solved by CPLEX solver. The results on a provincial power grid show that this model is reasonable and the accommodation capacity of photovoltaic power stations is also affected by their locations and output coefficients.

    参考文献
    相似文献
    引证文献
引用本文

欧阳聪,刘明波.考虑网络传输约束的并网光伏发电消纳容量计算[J].电力系统保护与控制,2016,44(5):17-23.[OUYANG Cong, LIU Mingbo. Computing of accommodation capacity of grid-integrated photovoltaic generation considering network’s transmission constraints[J]. Power System Protection and Control,2016,V44(5):17-23]

复制
分享
相关视频

文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2015-05-13
  • 最后修改日期:2015-07-17
  • 录用日期:
  • 在线发布日期: 2016-02-26
  • 出版日期:
文章二维码