• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

ELECTRIC POWER CONSTRUCTION ›› 2015, Vol. 36 ›› Issue (10): 73-81.doi: 10.3969/j.issn.1000-7229.2015.10.011

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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).

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

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