基于碳交易的含风电场电力系统低碳经济调度研究

发布时间：2018-04-20 12:51

本文选题：低碳电力 + 碳交易机制　；参考：《燕山大学》2014年硕士论文

【摘要】：作为碳排放的主要来源之一，电力行业具有巨大的减排潜力和明显的可优化空间，大力发展低碳电力对于低碳经济的实施及电力行业可持续发展具有重要意义。实施碳交易机制，可鼓励发电企业积极响应节能减排政策，碳交易机制的开展对电力系统的低碳减排产生积极影响。另外，风力发电作为最具竞争力的清洁能源之一，促进了电力系统低碳化的发展进程，但风电出力的随机性和不可控性增加了电力系统的调度难度。基于以上分析，本文对基于碳交易的含风电场电力系统低碳经济调度问题进行了如下研究：首先，介绍了碳交易的内涵、原理和碳排放权的初始分配方案。另外，对典型的电力系统调度模型进行了概述；针对风力发电的特性，介绍了风电出力的随机选取方法以及模型构建的随机规划方法，并分析了风力发电对电力系统调度的影响。其次，为了兼顾系统排放的低碳性和电能生产的经济性，提出一种新型的低碳经济调度模型，其包含了基于碳交易的低碳调度目标及考虑旋转备用补偿成本和风电场负效率运行补偿成本的经济调度目标。采用基于自然选择的混合粒子群算法进行优化求解，仿真算例比较了不同目标函数的调度模式，分析了碳交易价格变化对调度结果的影响，结果表明所提优化模型有效可行，算法合理。最后，，建立基于碳交易的多目标低碳经济调度模型。模型包含了系统购电费用最小的经济调度目标和系统碳交易费用最低的低碳调度目标，建立了平均购电费用、风电价格补贴、机组平均出力份额等评价指标。采用改进的多目标粒子群算法进行求解，仿真算例表明，改进算法有效可行，多目标调度模型实现了调度系统低碳性和经济性的双重目标，碳交易机制的实施促进了风电的布局优化并提高了清洁发电机组的利用率。
[Abstract]:As one of the main sources of carbon emissions, the power industry has a huge potential for emission reduction and obvious room for optimization. It is of great significance to develop low-carbon electricity for the implementation of low-carbon economy and the sustainable development of power industry. The implementation of carbon trading mechanism can encourage power generation enterprises to respond positively to energy-saving and emission reduction policies, and the development of carbon trading mechanism has a positive impact on the low carbon emission reduction in power system. In addition, wind power generation, as one of the most competitive clean energy, promotes the development of low carbonization of power system, but the randomness and uncontrollability of wind power increase the difficulty of power system scheduling. Based on the above analysis, this paper studies the low carbon economic dispatch problem of wind farm power system based on carbon trading as follows: Firstly, the connotation, principle and initial allocation scheme of carbon emission rights are introduced. In addition, the typical dispatching model of power system is summarized, the random selection method of wind power output and the stochastic programming method of model construction are introduced according to the characteristics of wind power generation. The influence of wind power generation on power system dispatching is analyzed. Secondly, in order to take into account the low carbon emission and the economy of electric energy production, a new low carbon economic scheduling model is proposed. It includes a low carbon scheduling target based on carbon trading and an economic scheduling target considering the compensation cost of rotation reserve and the negative efficiency of wind farm. The hybrid particle swarm optimization algorithm based on natural selection is used to solve the problem. Simulation examples are given to compare the scheduling modes of different objective functions, and the effects of carbon transaction price changes on scheduling results are analyzed. The results show that the proposed optimization model is effective and feasible. The algorithm is reasonable. Finally, a multi-objective low-carbon economy scheduling model based on carbon trading is established. The model includes the economic dispatching target with the minimum power purchase cost and the low carbon scheduling target with the lowest carbon transaction cost. The evaluation indexes such as average power purchase cost, wind power price subsidy and unit average output share are established. The improved multi-objective particle swarm optimization algorithm is used to solve the problem. The simulation example shows that the improved algorithm is effective and feasible, and the multi-objective scheduling model achieves the dual goals of low carbon and economy of the scheduling system. The implementation of carbon trading mechanism promotes the layout optimization of wind power and improves the utilization ratio of clean generators.
【学位授予单位】：燕山大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM614;TM73

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