基于锥优化的智能配电网优化问题建模方法研究

发布时间：2018-09-04 13:59

【摘要】：随着分布式发电、SNOP、储能、需求侧响应等技术的广泛实施与应用,配电网已转变为集电能的收集、传输、存储与分配等多种功能于一体的新型能源系统,也是智能电网技术发展的核心。大量形式多样、特性不同装置的接入,会对配电网的安全可靠运行产生深远影响,需要对其进行科学的规划,以保证电网改造的合理性和电网运行的安全性。同时,在智能配电网的发展模式下,配电网将主动地对分布式电源、SNOP、储能、智能终端等的运行进行调节与控制,从而实现电力潮流的有效管理。因此,智能配电网优化问题可分为两阶段的优化,即规划优化和运行优化,二者相互作用、相互渗透。面对大量新型装置参与的配电网优化调节问题,其优化建模、计算求解以及与可再生能源的相互作用影响等问题将十分复杂,而对于此研究分析则需要以高效准确的建模仿真方法为依托。本文围绕基于锥优化的智能配电网优化问题展开研究,主要工作归纳如下:从智能配电网稳态建模出发,根据各元件功能将其归类建模。其中,功率转换类元件采用诺顿等效电路来表示;功率传输类元件通过导纳矩阵来表示;控制类元件自身不属于电气元件,因此并不参与形成系统方程;分别针对分布式电源优化配置、SNOP运行优化和储能系统运行优化问题,提出了基于锥优化的配电网优化问题建模方法。包括:对锥优化方法的理论基础、标准模型、对偶性质等进行简要介绍,阐明了锥优化的数学本质;在配电网基本优化模型的基础上,分别对分布式电源优化配置、SNOP运行优化和储能系统运行优化的约束边界进行描述;根据锥优化的标准形式,通过目标函数线性化和约束条件的锥转化,对基本模型进行等价变换,形成配电网优化问题的锥优化模型;针对配电网分布式电源优化配置进行分析,分别分析了不同渗透率、不同功率因数下的分布式电源优化结果以及对节能降损的作用;针对基于SNOP的配电网运行优化进行分析,将SNOP的优化效果和网络重构进行详细对比分析,从静态潮流优化、动态潮流优化两方面验证了SNOP的优势和潜在效益;针对储能系统参与配电网运行优化进行分析,将储能系统的优化方案与配电系统电能供求关系进行对照分析,验证了储能系统对于平滑可再生能源波动以及对电力潮流调节优化的作用效果;最后,对锥优化方法求解配电网优化问题的正确性和高效性进行测试,仿真结果验证了本文所提锥优化方法的有效性和快速性。
[Abstract]:With the wide implementation and application of SNOP, energy storage, demand-side response and other technologies, the distribution network has been transformed into a new energy system with a variety of functions, such as collecting, transmitting, storing and distributing electric energy. It is also the core of smart grid technology development. The access of a large number of devices with various forms and characteristics will have a profound impact on the safe and reliable operation of the distribution network. It is necessary to carry out scientific planning to ensure the rationality of the transformation of the power network and the security of the operation of the power network. At the same time, in the development mode of smart distribution network, the distribution network will actively regulate and control the operation of distributed power generation, energy storage, intelligent terminal, so as to realize the effective management of power flow. Therefore, the intelligent distribution network optimization problem can be divided into two stages of optimization, namely, planning optimization and operation optimization, they interact and penetrate each other. With the participation of a large number of new devices in the optimal regulation of distribution network, the optimization modeling, calculation solution and the interaction with renewable energy will be very complicated. The research and analysis need to be based on efficient and accurate modeling and simulation methods. This paper focuses on the intelligent distribution network optimization problem based on cone optimization. The main work is summarized as follows: starting from the steady state modeling of smart distribution network, the smart distribution network can be classified and modeled according to the function of each component. Among them, the power conversion element is represented by Norton equivalent circuit, the power transmission element is represented by admittance matrix, the control element itself is not an electrical element, so it does not participate in the formation of system equation. Aiming at the operation optimization of SNOP and the operation optimization of energy storage system, the modeling method of distribution network optimization problem based on cone optimization is proposed. Including: the theoretical basis, standard model and dual properties of cone optimization method are briefly introduced, and the mathematical essence of cone optimization is clarified, which is based on the basic optimization model of distribution network. The constraint boundary of SNOP operation optimization and energy storage system operation optimization is described respectively, and according to the standard form of cone optimization, the linearization of objective function and conical transformation of constraint conditions are adopted. The equivalent transformation of the basic model is carried out to form the conical optimization model for the distribution network optimization problem, and the distribution network distributed power supply optimization configuration is analyzed, and the different permeability of the distribution network is analyzed, respectively. The results of distributed power generation optimization under different power factors and its effect on energy saving and loss reduction are analyzed, and the optimization effects of SNOP and network reconfiguration are compared and analyzed in detail, and the static power flow optimization is analyzed from the static power flow, and the optimization of distribution network operation based on SNOP is analyzed in detail. Dynamic power flow optimization verifies the advantages and potential benefits of SNOP, analyzes the energy storage system participating in the distribution network operation optimization, and compares the optimization scheme of energy storage system with the power supply and demand relationship of distribution system. The effect of energy storage system on smoothing renewable energy fluctuation and optimizing power flow regulation is verified. Finally, the correctness and efficiency of cone optimization method for solving distribution network optimization problems are tested. Simulation results verify the effectiveness and rapidity of the proposed cone optimization method.
【学位授予单位】：天津大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM743

【引证文献】