考虑非预期条件的电力系统多阶段随机规划建模理论与方法

发布时间：2018-04-25 20:38

本文选题：电网规划 + 多阶段随机规划　；参考：《电网技术》2017年11期

【摘要】：为解决电网规划决策中节点注入功率不确定性的问题,该文提出了一种新的多阶段随机优化模型。首先根据节点注入不确定性建立随机变量的多阶段场景树模型,进而建立多阶段随机规划模型,其中该模型中多阶段投资的顺序实现过程需保证当前的决策不与未来的随机因素和决策量相关,即在模型中考虑"非预期性"约束条件。采用一个简单6节点测试系统,详细分析并与传统方法进行了对比,结果表明所提方法能够有效降低电网投资的总成本(包括投资成本和运行成本),同时所提出的多阶段随机规划方法更加灵活,能够根据未来的不确定性随机应对。特别地,随着电网设备投资备用的增加,文中方法能够节约更多的成本。
[Abstract]:In order to solve the problem of nodal injection power uncertainty in power network planning decision, a new multi-stage stochastic optimization model is proposed in this paper. Firstly, the multi-stage scenario tree model of random variables is established according to the nodal injection uncertainty, and then the multi-stage stochastic programming model is established. The sequential realization process of multi-stage investment in the model should ensure that the current decision is not related to the future random factors and decision quantities, that is to say, the "unexpected" constraint condition is considered in the model. A simple 6-bus test system is used to analyze and compare with the traditional method in detail. The results show that the proposed method can effectively reduce the total cost of grid investment (including investment cost and operation cost), and the proposed multi-stage stochastic programming method is more flexible and can be dealt with randomly according to the uncertainty in the future. In particular, with the increase of reserve investment in power grid equipment, the method can save more cost.
【作者单位】：电力设备电气绝缘国家重点实验室(西安交通大学电气工程学院);
【基金】：国家重点研发计划项目(2016YFB0901904) 国家自然科学基金青年基金项目(51607137) 中国博士后基金项目(2015M580847) 陕西省自然科学基金青年基金项目(2016JQ5015)~~
【分类号】：TM743

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