计及风电不确定性的随机安全约束机组组合
发布时间：2019-07-29 09:19
【摘要】：随着风电接入电网的比例不断提高,风电的不确定性对电力系统的运行调度提出了严峻挑战。将满足一定置信水平的风电区间预测信息纳入到日前调度计划中有助于提高系统的安全性和经济性。为此提出了基于风电区间预测信息的随机安全约束机组组合模型(stochastic security-constrained unit commitment,SSCUC)。该模型将风电的不确定性用1个确定的预测风电场景和2个极限风电场景来表示,简化了问题的复杂度。同时,该模型引入了潮流约束和网络安全约束,保证了调度结果的可行性。为求解该模型,提出了基于广义Benders分解的计算方法。该方法将SSCUC问题分解为一个主问题和2T(T为调度周期)个约束潮流子问题,并通过交替迭代的方式获得原问题的最优解。4机9节点系统和改进118节点系统的计算结果验证了所提模型和算法的有效性。
[Abstract]:With the increasing proportion of wind power connected to the power grid, the uncertainty of wind power poses a severe challenge to the operation and dispatching of power system. The integration of wind power interval prediction information satisfying a certain confidence level into the pre-day dispatching plan is helpful to improve the security and economy of the system. In this paper, a stochastic safety constrained unit commitment model (stochastic security-constrained unit commitment,SSCUC) based on wind power interval prediction information is proposed. In this model, the uncertainty of wind power is represented by a definite predicted wind power scenario and two extreme wind power scenarios, which simplifies the complexity of the problem. At the same time, the model introduces power flow constraints and network security constraints to ensure the feasibility of scheduling results. In order to solve the model, a calculation method based on generalized Benders decomposition is proposed. In this method, the SSCUC problem is decomposed into a main problem and 2T (T is scheduling period) constrained tide carrier problem, and the optimal solution of the original problem is obtained by alternating iteration. The proposed model and algorithm are verified by the calculation results of the 4-machine 9-node system and the improved 118bus system.
【作者单位】： 广西大学电气工程学院;国网浙江省电力公司杭州供电公司;
【基金】：国家重点基础研究发展计划项目(9 7 3项目)(2013CB228205) 国家自然科学基金项目(51667003)~~
【分类号】：TM73
[Abstract]:With the increasing proportion of wind power connected to the power grid, the uncertainty of wind power poses a severe challenge to the operation and dispatching of power system. The integration of wind power interval prediction information satisfying a certain confidence level into the pre-day dispatching plan is helpful to improve the security and economy of the system. In this paper, a stochastic safety constrained unit commitment model (stochastic security-constrained unit commitment,SSCUC) based on wind power interval prediction information is proposed. In this model, the uncertainty of wind power is represented by a definite predicted wind power scenario and two extreme wind power scenarios, which simplifies the complexity of the problem. At the same time, the model introduces power flow constraints and network security constraints to ensure the feasibility of scheduling results. In order to solve the model, a calculation method based on generalized Benders decomposition is proposed. In this method, the SSCUC problem is decomposed into a main problem and 2T (T is scheduling period) constrained tide carrier problem, and the optimal solution of the original problem is obtained by alternating iteration. The proposed model and algorithm are verified by the calculation results of the 4-machine 9-node system and the improved 118bus system.
【作者单位】： 广西大学电气工程学院;国网浙江省电力公司杭州供电公司;
【基金】：国家重点基础研究发展计划项目(9 7 3项目)(2013CB228205) 国家自然科学基金项目(51667003)~~
【分类号】：TM73
【参考文献】
相关期刊论文 前10条
1 王颖;周刚;韩红卫;李婷;丁恰;张凯锋;;计及风电最优置信度的机组组合优化方法[J];电网技术;2017年03期
2 王勇超;陈皓勇;yづ嗾，
本文编号：2520407
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