• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

电力建设 ›› 2015, Vol. 36 ›› Issue (10): 73-81.doi: 10.3969/j.issn.1000-7229.2015.10.011

• 含新能源的电网规划 • 上一篇    下一篇

计及可用输电能力的含大规模风电的输电系统规划

郑静1,2, 文福拴2,3, 周明磊1, 徐谦4, 梁樑4, 俞敏4   

  1. 1. 国网浙江省电力公司信通分公司,杭州市 310027;2. 浙江大学电气工程学院,杭州市 310027;3. 文莱科技大学电机与电子工程系, 斯里巴加湾市 BE1410;4. 国网浙江省电力公司经济技术研究院, 杭州市 310008
  • 出版日期:2015-10-01
  • 作者简介:郑静 (1980), 女, 博士, 工程师, 主要从事电力系统规划和可再生能源方面的研究工作; 文福拴 (1965), 男, 通信作者, 教授, 博士生导师, 主要从事电力系统故障诊断与系统恢复、电力经济与电力市场、智能电网与电动汽车等方面的研究工作; 周明磊 (1974), 男, 硕士, 高级工程师, 主要从事电力信息化管理工作; 徐 谦 (1963), 男, 硕士, 高级工程师,主要从事电力系统规划研究及咨询工作; 梁 樑 (1981), 男, 硕士, 工程师, 主要从事电网工程技术经济研究方面的工作; 俞敏 (1968), 女, 硕士, 高级工程师, 主要从事电网工程技术经济研究方面的工作。
  • 基金资助:

    国家重点基础研究发展规划项目 (973计划) (2013CB228202);国家自然科学基金项目 (51477151, 51361130152);国网浙江省电力公司科技项目(5211DS14000X)。

Transmission System Planning in Power Systems with Wind Generators Considering Available Transfer Capability

ZHENG Jing 1,2, WEN Fushuan2,3, ZHOU Minglei 1, XU Qian4, LIANG Liang4, YU Min4   

  1. 1. Information and Communication Division, State Grid Zhejiang Electric Power Corporation, Hangzhou 310027, China;2. School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China;3. Department of Electrical and Electronic Engineering, Institut Teknologi Brunei, Bandar Seri Begawan BE1410, Brunei;4. State Grid Zhejiang Electric Power Corporation Economic Research institute, Hangzhou 310008, China
  • Online:2015-10-01
  • Supported by:

    Project supported by National Key Basic Research Program of China (2013CB228202);National Natural Science Foundation of China(51477151, 51361130152).

摘要:

大容量风力发电基地的快速发展给电力系统安全与经济运行带来了新的问题,对输电系统进行规划时,既要考虑具备足够的可用输电能力(available transfer capability, ATC)以容纳大规模风电并网, 又要避免输电容量过分冗余造成投资浪费。在此背景下, 针对含有大容量风力发电的电力系统, 提出了一种计及ATC的输电系统规划随机优化模型, 主要内容包括:(1)在考虑风速和负荷等随机变量之间相关性以及线路和发电机故障概率的基础上, 构造了ATC概率模型;(2)采用拉丁超立方采样和灵敏度分析相结合的方法求解ATC概率模型;(3)构建以输电线路投资成本最小和ATC期望值最大为目标的优化模型, 将输电系统规划的经济性和运行风险进行有机结合。采用遗传算法求解所建立的输电系统规划优化模型, 并用18节点和46节点算例系统说明所发展模型和方法的基本特征。

关键词: 输电系统规划, 风电场, 可用输电能力(ATC), 拉丁超立方采样, 灵敏度分析, 相关性

Abstract:

 The rapid development of large-scale wind farms results in some new problems for the secure and economic operation of the power system associated. In making transmission system planning, sufficient available transfer capability (ATC) is required so as to accommodate large-scale wind farms, while excessive transmission capacity must be avoided so as to save investment. Given this background, a stochastic optimization model for transmission system planning is presented for a power system with the integration of large-scale wind farms with the following contributions: 1) a probabilistic ATC model is developed with the correlations among random input variables such as wind speed and loads as well as the outage probabilities of generators and transmission lines taken into account;2) a method is employed to solve the probabilistic ATC model by the combined use of the Latin hypercube sampling based Monte Carlo simulation and sensitivity analysis;3) a bi-objective transmission system planning model is presented with transmission investment cost minimized and the expected value of ATC maximized, subject to the acceptable overload probability constraints, and in this way the economics and operation risks associated with a transmission planning scheme could be compromised. Finally, the developed transmission system planning model is solved by the well-established genetic algorithm, and demonstrated by a 18-bus and a 46-bus sample power systems.

Key words:  transmission system planning, wind farm, available transfer capability (ATC), Latin hypercube sampling, sensitivity analysis, correlation

中图分类号: