微电网经济运行优化

发布时间：2018-04-16 09:33

本文选题：微电网 + 数学模型　；参考：《华南理工大学》2014年硕士论文

【摘要】：当前电力系统承受来自传统化石能源短缺和环境污染的双重压力，促使各种新能源发电技术(例如风力发电、光伏发电等)的迅速发展。新能源发电的单机规模较小，适合以分布式电源(distributed generator，DG)的形式接入中、低压系统，就近向负荷提供灵活、经济、环保的电能。由于不同的DG的特性差异显著，传统电网在安全稳定、控制、优化调度等方面都受到前所未有的挑战，微电网为这些问题提供了有效的解决方案。本文主要围绕微电网的经济运行优化问题进行了研究。研究了微电网孤岛经济运行优化、并网经济运行优化以及计及运行方式切换的微电网经济运行优化问题。本文主要工作和研究成果如下： 1.构建一种含储能的风、光、微型燃气轮机的微电网孤岛经济运行优化模型，以系统运行成本最小为目标，满足功率平衡约束的同时，考虑网络、安全等约束，例如爬坡约束、潮流约束、蓄电池的荷电状态和充放电电流约束、蓄电池的上一时刻与下一时刻荷电状态关系约束等。基于C++/GAMS编程进行算例仿真，验证了所提模型的合理性，为微电网的风、光、储及微型燃气轮机的联合孤岛经济运行提供参考。 2.研究了微电网并网运行时的经济运行优化问题，以微电网并网运行时的系统总成本最低为目标，在充分考虑分布式电源自身的特性约束及网络安全约束的同时，，讨论分析平均电价、峰谷电价和实时电价对微电网运行成本的影响，降低运行成本，充分利用微电网与主网互动的特性。结合实际的微电网模型，给出并网运行时的优化调度策略，通过C++/GAMS对所建模型进行优化求解，验证所建模型的合理性，为微电网并网运行提供参考。 3.提出了一种微电网孤岛-并网统一优化模型，以并网模型作为主问题，孤岛问题为子问题，通过割集1和割集2来联系主问题与子问题，设计了一种T-t规则，用GAMS编程对所提建模型进行求解，验证所建模型的合理性。最后对全文工作进行了总结，概括了本文的主要研究成果，指出了今后进一步研究方向。本文研究工作得到了“以多环节综合互动为特征的智能电网综合示范工程”国家科技支撑计划(2013BAA01B02)以及国家自然科学基金(51307063)的资助。
[Abstract]:The current power system is under the double pressure from the shortage of traditional fossil energy and environmental pollution, which promotes the rapid development of various new energy generation technologies (such as wind power generation, photovoltaic power generation, etc.).The single machine of new energy generation is small and suitable for medium and low voltage system in the form of distributed distributed generator and DGG, which provides flexible, economical and environmentally friendly electric energy to the nearest load.Due to the remarkable differences in the characteristics of different DG, the traditional power grid is facing unprecedented challenges in the aspects of safety and stability, control and optimal dispatching, etc. Microgrid provides an effective solution to these problems.This paper focuses on the economic operation optimization of microgrid.In this paper, the optimization of isolated island economy operation, the economic operation optimization of grid-connected grid and the economic operation optimization of microgrid with the consideration of switching operation mode are studied.The main work and research results of this paper are as follows:1.A wind, light and micro gas turbine microgrid islanding economic operation optimization model is constructed, which takes the minimum operating cost of the system as the goal, satisfies the power balance constraints, and considers the network, security and other constraints, such as climbing constraints.Power flow constraints, charge and discharge current constraints of the battery, the relationship between the first and the next moment of the storage battery, and so on.The simulation results based on C / GAMS program verify the rationality of the proposed model and provide a reference for the wind, light, storage and micro gas turbine combined island economic operation.2.In this paper, the optimization problem of economic operation of microgrid in grid-connected operation is studied. Aiming at the lowest total cost of microgrid, the characteristic constraints of distributed power generation and network security constraints are fully considered at the same time.The effects of average electricity price, peak and valley price and real time price on the operation cost of microgrid are discussed, and the characteristics of interaction between microgrid and main network are fully utilized.Combined with the actual microgrid model, the optimal scheduling strategy for grid-connected operation is given. The model is optimized and solved by C / GAMS, and the rationality of the model is verified, which provides a reference for the grid-connected operation of micro-grid.3.In this paper, a unified optimization model of islanding and grid-connected microgrid is proposed. Taking the grid-connected model as the main problem and the islanding problem as the sub-problem, a T-t rule is designed by using the cut-set 1 and cut-set 2 to connect the main problem and the sub-problem.The proposed model is solved by GAMS programming, and the rationality of the proposed model is verified.Finally, the paper summarizes the work of this paper, summarizes the main research results, and points out the future research direction.The research work is supported by the National Science and Technology support Program (2013BAA01B02) and the National Natural Science Foundation of China (51307063).
【学位授予单位】：华南理工大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM732

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