东北大学学报（自然科学版）

东北大学学报:自然科学版 ›› 2015, Vol. 36 ›› Issue (11): 1521-1525.DOI: 10.12068/j.issn.1005-3026.2015.11.001

• 信息与控制 •    下一篇

基于情景方法的微型智能电网经济运行的优化

靳绍珍， 毛志忠， 李鸿儒   

  1. (东北大学 信息科学与工程学院， 辽宁 沈阳110819)
  • 收稿日期:2014-10-30 修回日期:2014-10-30 出版日期:2015-11-15 发布日期:2015-11-10
  • 通讯作者: 靳绍珍
  • 作者简介:靳绍珍(1983-)，男，山东临沂人，东北大学博士研究生; 毛志忠(1961-)，男，山东掖县人，东北大学教授，博士生导师.
  • 基金资助:
    国家自然科学基金资助项目(61333006)

Economic Operation Optimization of Smart Microgrid Based on Scenario Methodology

JIN Shao-zhen， MAO Zhi-zhong， LI Hong-ru   

  1. School of Information Science & Engineering， Northeastern University， Shenyang 110819， China.
  • Received:2014-10-30 Revised:2014-10-30 Online:2015-11-15 Published:2015-11-10
  • Contact: MAO Zhi-zhong
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摘要： 针对微型智能电网经济运行优化问题中，分布式可再生能源输出功率的预测误差具有不确定性的特点，提出了一种基于混合0-1随机非线性规划的微型智能电网运行优化方法.该方法将蒙特卡洛方法与轮盘赌选择机制相结合，利用情景生成方法来表示分布式可再生能源输出功率预测误差的所有可能实现，同时将带有不确定性的微型智能电网运行优化问题转化为确定性的混合0-1非线性优化问题，并用分支定界算法求解混合0-1非线性优化问题.最后，利用情景聚合方法得到最优期望解.通过仿真实验表明了所提出方法的有效性.

关键词: 微型智能电网, 经济运行, 不确定性优化, 情景生成, 分支定界算法

Abstract: According to the characteristics of economic dispatch problem for smart microgrid with uncertainties related to the forecasted errors for renewable energy sources (RESs)， a methodology based mixed 0-1 stochastic nonlinear programming was proposed. The roulette wheel mechanism (RWM) and Lattice Monte Carlo simulations (LMCS) were used to generate scenarios. By means of this strategy， the stochastic problem was converted to a number of deterministic problems with different probabilities. Meanwhile， branch and bound algorithm was employed to solve each of the deterministic problems. Consequently， the solutions obtained from the accepted scenarios were aggregated according to the probability to find the expected result of the investigated problem considering uncertainty. The validity of this optimization methodology was proved by the simulation results.

Key words: smart microgrid, economic operation, optimization under uncertainty, scenario generation, branch and bound algorithm

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