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“源—网—荷”互动优化调节的最优潮流模型及线性规划算法

发布时间:2018-05-28 21:58

  本文选题:最优潮流 + 柔性负荷 ; 参考:《华北电力大学(北京)》2016年硕士论文


【摘要】:柔性负荷已越来越成为新能源消纳和电网调节的重要手段,成为“源-网-荷”协调控制的重要组成部分;另一方面,以风电、光伏为代表的新能源大规模接入电网,但由于输电瓶颈和负荷消纳问题弃风弃光问题严重。本文针对上述问题,在深入研究柔性负荷、新能源及常规电源特性的基础上,建立“源-网-荷”整体趋优的最优潮流模型并提出线性规划算法,主要工作内容有:(1)研究柔性负荷可调节和可中断特性,根据可调节/中断容量、时间和速度等参数建立柔性负荷的可调节、可中断模型;研究以风电为代表的大规模新能源出力特性,以火电、水电为代表的常规电源调节深度、调节速度和快速启停性能。为深入研究柔性负荷参与“源-网-荷”互动优化调节提供依据。(2)结合新的电改形势下电价松动后的负荷可在一定范围内“柔性”调节的趋势,在传统最优潮流的基础上,提出了“源-网-荷”互动优化运行整体趋优的最优潮流模型。模型针对系统中任一潮流平衡的时间断面,在考虑源侧、网侧边际成本和负荷侧净边际效益的基础上,提出全系统社会净边际效益最大化的目标,并确立约束条件的基本表达式。之后,将优化模型处理为直流潮流模型,并推导出线性化求解算法。(3)利用Visual Studio软件,调用STYRP1.10线性规划软件包对提出的模型和算法进行了编程实现。采用IEEE-5节点算例分析了“源-网-荷”互动优化调节的负荷和发电节点调整量,结果验证了模型及算法的有效性;并分析了不同类型节点权重变化对最优潮流结果的影响。(4)对具有几十节点的某区域电网进行应用计算,结果可供工程应用参考。所建模型可以根据系统运行状态实时给出系统社会净效益最大化的在线辅助决策方案。既能使调度决策满足系统安全性、经济性和可靠性等运行要求,又能充分体现柔性负荷参与“源-网-荷”互动的调节价值,开拓了电网调度/交易“相对独立”后的最优潮流新思路,具有一定的推广应用价值。
[Abstract]:Flexible load has become an important means of new energy absorption and grid regulation, and an important part of "source-net-load" coordinated control. On the other hand, new energy, represented by wind power and photovoltaic, is connected to the power grid on a large scale. However, due to transmission bottleneck and load absorption problem, the problem of abandoned wind and light is serious. In this paper, based on the study of the characteristics of flexible load, new energy and conventional power supply, the optimal power flow model of "source-net-load" is established and a linear programming algorithm is proposed. The main work is as follows: (1) the adjustable and interruptible characteristics of flexible load are studied, and the adjustable and interruptible model of flexible load is established according to the parameters of adjustable / interrupted capacity, time and speed. The characteristics of large scale new energy output represented by wind power are studied. The regulation depth, regulating speed and quick start and stop performance of conventional power supply, such as thermal power and hydropower, are studied. In order to deeply study the flexible load participating in the "source-net-load" interactive optimization regulation, and the trend that the load after the electricity price loosening can be adjusted in a certain range under the new situation of electricity reform, and on the basis of the traditional optimal power flow, An optimal power flow model for the overall optimal operation of "source-network-load" interaction optimization is proposed. Based on considering the marginal cost of source side, network side and load side net marginal benefit, the goal of maximizing the net marginal benefit of the whole system is put forward for any time section of power flow balance in the system. And the basic expression of constraint condition is established. After that, the optimization model is treated as a DC power flow model, and the linearization algorithm is deduced. Using Visual Studio software, the proposed model and algorithm are programmed using STYRP1.10 linear programming software package. An example of IEEE-5 node is used to analyze the load and generator node adjustment of "source-network-load" interaction optimization. The results show the validity of the model and algorithm. The influence of different types of node weights on the optimal power flow results is analyzed. 4) the application calculation of a regional power network with dozens of nodes is carried out. The results can be used as a reference for engineering applications. According to the operating state of the system, the model can give the online auxiliary decision scheme to maximize the net benefit of the system in real time. The dispatching decision can not only meet the requirements of system security, economy and reliability, but also fully reflect the value of flexible load regulation in the interaction of "source-net-load". A new idea of optimal power flow after "relative independence" of power dispatching / transaction is developed, which has certain value of popularization and application.
【学位授予单位】:华北电力大学(北京)
【学位级别】:硕士
【学位授予年份】:2016
【分类号】:TM74

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