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考虑多级调度的跨省区大电网安全约束经济调度模型
作者:
作者单位:

中国电力科学研究院有限公司, 北京市 100192

摘要:

大电网安全约束经济调度(SCED)是一种解决大范围资源优化配置的有效技术手段。不同于单一省级电网优化调度,涉及跨省区的大电网SCED一方面计算规模成倍增加,另一方面需要合理协调机组及跨省区联络线输电计划,还应考虑国(分)省各级调度实际业务及特色需求。更大规模、更多更复杂的约束将给模型构建和求解带来困难。文中着重对跨省区大电网SCED所涉及的平衡策略、联络线计划及大规模网络约束等问题进行模型构建,并通过优化目标选择及约束条件配置构建适用于满足不同需求的SCED模型,从而实现求解性能与使用效果的合理匹配。通过实际电网算例仿真验证了所提方法的有效性。

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基金项目:

国家电网公司科技项目“全局计划决策与现货市场核心技术研究与应用”;中国电力科学研究院创新基金项目“基于标准化组件的多级调度集中式全局计划决策”

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Security Constrained Economic Dispatch Model of Inter-provincial Power Grid Considering Multi-level Dispatch
Author:
Affiliation:

China Electric Power Research Institute, Beijing 100192, China

Abstract:

Security constrained economic dispatch(SCED)for large-scale power grid is an effective technical way to solve the problem of large-scale optimal allocation of resources. Different from optimization scheduling of single provincial power grid, on the one hand the calculation scale of SCED in the large-scale power grid increases greatly, and on the other hand it is necessary to coordinate the unit and tie-line transmission plan reasonably on the premise of considering the actual business and characteristics of national(regional)and provincial dispatch. It is more difficult to construct and solve the model because of the expansion of computing scale and more complex constraints. This paper focuses on the model description of balance strategy, tie-line planning and large-scale network constraints, and constructs a SCED model for different needs by optimizing the selection of objectives and the configuration of constraints, so as to achieve a reasonable match between solution performance and usage effect. The effectiveness of the proposed method is verified by simulation of a real power grid in China.

Keywords:

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引用本文
[1]许丹,梁访,黄国栋,等.考虑多级调度的跨省区大电网安全约束经济调度模型[J].电力系统自动化,2019,43(22):94-100. DOI:10.7500/AEPS20190409003.
XU Dan, LIANG Fang, HUANG Guodong, et al. Security Constrained Economic Dispatch Model of Inter-provincial Power Grid Considering Multi-level Dispatch[J]. Automation of Electric Power Systems, 2019, 43(22):94-100. DOI:10.7500/AEPS20190409003.
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历史
  • 收稿日期:2019-04-09
  • 最后修改日期:2019-09-03
  • 录用日期:2019-07-11
  • 在线发布日期: 2019-08-30
  • 出版日期: 2019-11-25
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