含微电网的虚拟电厂分层随机优化调度

发布时间：2018-03-07 02:36

本文选题：虚拟电厂　切入点：优化调度　出处：《东南大学》2015年硕士论文　论文类型：学位论文

【摘要】：虚拟电厂是多个分布式电源、负荷及储能装置的集合,能有效管理大量地域分散、所属权各异的分布式电源,也可集成多个不同区域的微电网,利用自身通信技术对微电网进行管理控制,将其统一呈现给电网,减轻电网管理负担。虚拟电厂的核心是能量管理系统,它可协调发电单元、负荷及储能单元间的能量分配。虚拟电厂的能量管理和优化运行因其内部分布式电源类型与控制方式的多样性与特殊性而呈现较高的复杂性。对含多个微电网的虚拟电厂进行优化调度时既应考虑多个微电网间的协调运行,又应实现各微电网自身的最优调度。本文对含微电网的虚拟电厂提出了一种分层随机优化调度方法。(1)介绍了虚拟电厂内分布式电源的类型及相应机组特性,给出了其在虚拟电厂优化调度中的数学模型。阐述了Copula理论及其在间歇性分布式电源发电相关性中的运用,并重点分析了风力、光伏发电的随机性与相关性。基于Copula理论构建了多个间歇性分布式电源输出功率的联合概率分布模型。(2)依据分层优化与机会约束随机优化理论,建立了虚拟电厂分层随机优化调度模型。上层虚拟电厂层以虚拟电厂整体利润最大为目标,以发电计划约束等为约束条件;下层各微电网层以综合成本最小为目标,以微电网电能平衡约束、分布式电源发电约束等为约束条件。下层各微电网模型充分考虑了风力、光伏等间歇性分布式电源发电随机性与相关性,建立的优化模型均为机会约束优化模型。(3)研究了机会约束优化的抽样平均近似转化方法(SAA)及GAMS优化软件的建模使用。通过算例分析了间歇性分布式电源发电相关性、机会约束置信水平以及SAA抽样次数对虚拟电厂分层随机优化调度的影响效果。结果表明了所提虚拟电厂分层随机优化调度方法的可行性。
[Abstract]:A virtual power plant is a collection of distributed power sources, loads and energy storage devices, which can effectively manage a large number of distributed power sources with different geographical distribution and ownership rights, and can also integrate multiple microgrids in different regions. The microgrid is managed and controlled by its own communication technology, which is presented to the grid in a unified way to lighten the management burden of the power network. The core of the virtual power plant is the energy management system, which can coordinate the generation units. Load and energy distribution among energy storage units. The energy management and optimal operation of virtual power plants presents high complexity due to the diversity and particularity of their internal distributed generation types and control modes. The coordinated operation of multiple microgrids should be taken into account in the optimal dispatching of virtual power plants. In this paper, a hierarchical stochastic optimal dispatching method for virtual power plants with microgrid is proposed. The types of distributed generation in virtual power plants and the characteristics of corresponding units are introduced in this paper. In this paper, the mathematical model of optimal dispatching of virtual power plant is given. The theory of Copula and its application in the correlation of intermittent distributed power generation are expounded, and the wind power is analyzed emphatically. Based on the Copula theory, a joint probability distribution model of output power of multiple intermittent distributed power sources is constructed, which is based on the theory of stratified optimization and chance constrained stochastic optimization. The hierarchical stochastic optimal dispatching model of virtual power plant is established. The upper layer of virtual power plant takes the maximum profit of the virtual power plant as the goal, and the constraint of the generation plan is taken as the constraint condition, while the lower layer of micro-grid layer takes the minimum comprehensive cost as the goal. The power balance constraints and distributed generation constraints of microgrid are taken as constraints, and the randomness and correlation of intermittent distributed generation such as wind and photovoltaic are fully considered in the lower microgrid models. The established optimization models are all opportunity-constrained optimization models. (3) the sampling average approximate transformation method of opportunity-constrained optimization and the modeling application of GAMS optimization software are studied. The correlation of intermittent distributed power generation is analyzed through an example. The effect of chance constraint confidence level and SAA sampling number on hierarchical stochastic optimal dispatching of virtual power plant is studied. The results show the feasibility of the proposed hierarchical stochastic optimal dispatching method for virtual power plant.
【学位授予单位】：东南大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TM73

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