节能减排背景下含虚拟电厂的电力系统优化调度

发布时间：2018-06-01 13:46

本文选题：优化调度 + 节能减排　；参考：《华北电力大学》2017年硕士论文

【摘要】：随着世界范围内能源需求的不断增长,化石能源资源濒临枯竭,生态环境逐渐恶化。新形式下,节能减排理念日益受到重视,采用清洁可再生能源的呼吁也不断提高,作为化石能源消耗大户的电力行业肩负节能减排的重任。我国日益严重的雾霾问题和大量清洁分布式能源资源并网带来的调度难题给电力系统的安全、绿色和经济运行带来挑战。基于此,本文对节能减排背景下含虚拟电厂的电力系统优化调度问题进行深入探讨。首先,针对我国日益严重的雾霾环境,讨论雾霾对电力系统中光伏出力和电力负荷的影响,并提出雾霾相似日的思想用以处理计及雾霾影响的光伏出力预测和负荷预测,采用小波神经网络模型进行预测和分析,结论表明雾霾的影响不容忽视,考虑其影响可有效提高预测精度。其次,针对大量分布式能源资源并网给电力系统带来的调度难题,本文引入虚拟电厂的概念,构建不受地域限制、含多种分布式能源资源的虚拟电厂,并基于三次指数平滑法预测虚拟电厂服务区域的整体负荷需求,采用投资组合理论和遗传算法实现虚拟电厂内各类分布式能源资源的最优容量配置。以此为基础,本文提出多虚拟电厂静态组合运营策略,并采用遗传算法求解,为虚拟电厂的规划和运营提供可行参考。最后,本文构建雾霾天气下含虚拟电厂的电力系统优化调度模型,模型中提出计及雾霾影响的排污成本增长因子函数,将其结合到传统火电机组的排放成本中,并通过府财政补贴手段弥补虚拟电厂的成本劣势;通过线性化处理,将上述模型转化为混合整数线性规划问题,并采用Matlab的Yalmip工具箱进行求解,算例结论表明所提模型和算法可在雾霾天气下有效提高分布式能源资源的消纳,实现节能减排目标的同时兼顾经济效益。
[Abstract]:With the increasing energy demand in the world, fossil energy resources are on the verge of exhaustion and the ecological environment is deteriorating. In the new form, the idea of energy saving and emission reduction is paid more and more attention to, and the appeal to adopt clean and renewable energy is constantly raised. As a large consumer of fossil energy, the electric power industry shoulders the heavy responsibility of energy saving and emission reduction. The increasingly serious haze problem in our country and the dispatching problem brought by a large number of clean and distributed energy resources bring challenges to the security, green and economic operation of the power system. Based on this, the optimal dispatching problem of power system with virtual power plant under the background of energy saving and emission reduction is discussed in this paper. Firstly, in view of the increasingly serious haze environment in China, the influence of haze on PV output and power load in power system is discussed, and the idea of haze similar day is proposed to deal with PV output forecasting and load forecasting taking into account the influence of haze. The wavelet neural network model is used to predict and analyze. The conclusion shows that the influence of haze can not be ignored and the accuracy of prediction can be improved effectively by considering its influence. Secondly, this paper introduces the concept of virtual power plant to build a virtual power plant, which is not limited by region and contains a variety of distributed energy resources, in view of the power system scheduling problems caused by a large number of distributed energy resources connected to the grid. Based on the cubic exponential smoothing method, the optimal capacity allocation of distributed energy resources in virtual power plants is realized by using portfolio theory and genetic algorithm. On this basis, this paper proposes a static combined operation strategy for multi-virtual power plants, and uses genetic algorithm to solve it, which provides a feasible reference for the planning and operation of virtual power plants. Finally, the optimal dispatching model of power system with virtual power plant in haze weather is constructed. In the model, the factor function of sewage cost growth considering the influence of haze is put forward, which is combined with the emission cost of traditional thermal power unit. The model is transformed into mixed integer linear programming problem by linearization, and solved by Yalmip toolbox of Matlab. The results of an example show that the proposed model and algorithm can effectively increase the absorption of distributed energy resources in haze weather and achieve the goal of energy saving and emission reduction while taking into account the economic benefits.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM73

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