独立微电网热电联产优化调度的研究

发布时间：2018-02-12 17:43

本文关键词： 独立微电网热电联产动态优化调度动态规划算法　出处：《内蒙古大学》2017年硕士论文　论文类型：学位论文

【摘要】：风能和太阳能因其储量丰富以及绿色无污染的特点,有巨大的开发潜力。微电网可以有效地解决分布式发电源分散接入问题,能够充分发挥各分布式发电独特的优势,克服了风力发电和光伏发电等随机波动性产生的不利影响,提高可再生能源的利用效率。由于独立微电网没有大电网的支持,承受可再生能源的随机变化性影响的能力较弱。热电联产微电网由于系统同时进行热电联供,增加系统调度的复杂性。因此,对热电联产微电网进行合理的调度,可以降低风能、太阳能发电的波动的影响,增强系统的可靠性、降低微电网成本并实现经济运行。本文的主要研究内容如下:首先,分析了独立微电网热电联产系统结构,探讨了风力发电、光伏发电、储能蓄电池、微型燃气轮机以及电锅炉的工作原理,并建立了各自的输出功率模型,为微电网热电联产的调度策略提供了理论基础。其次,建立了热电联产总体调度框架,分析了微电源运行状态,并根据工作模式以及负荷要求等提出了各自相应的优化调度策略。再次,建立微电网热电联产优化调度的经济调度模型,目标函数考虑了各微电源的运行维护成本、折旧损耗成本、微型燃气轮机的燃料成本和电锅炉运行时的启停成本等因素,约束条件包括各个微电源的出力、微型燃气轮机的爬坡率、蓄电池的荷电状态和容量等不平衡约束。利用动态规划算法求解独立微电网热电联产系统的调度模型。最后,为了验证提出的独立微电网热电联产的动态优化调度策略和算法的可行性,进行了实例验证分析。在MATLAB下编写动态规划算法优化程序,求解优化调度模型。优化结果表明在各种运行状态下,微电网能够满足热电负荷需求,实现能量平衡,同时达到经济运行目标。因此,本文提出的优化调度策略可以实现热电联产微电网经济运行。
[Abstract]:Wind and solar energy have great potential for development due to their rich reserves and green non-pollution. Microgrid can effectively solve the problem of decentralized access to distributed power generation and give full play to the unique advantages of each distributed generation. It overcomes the adverse effects of random volatility such as wind power generation and photovoltaic power generation, and improves the efficiency of renewable energy utilization. The ability to withstand the random variation of renewable energy is relatively weak. The heat and power cogeneration microgrid increases the complexity of the system scheduling because the system is cogeneration at the same time. Therefore, the heat and power cogeneration microgrid is scheduled reasonably. It can reduce the fluctuation of wind and solar power generation, enhance the reliability of the system, reduce the cost of microgrid and realize economic operation. The main contents of this paper are as follows: firstly, the structure of cogeneration system of heat and power in independent microgrid is analyzed. The working principles of wind power generation, photovoltaic power generation, energy storage battery, micro gas turbine and electric boiler are discussed, and their output power models are established, which provide a theoretical basis for the scheduling strategy of heat and power cogeneration in microgrid. The overall scheduling framework of cogeneration is established, the operation state of micro-power is analyzed, and the corresponding optimal scheduling strategies are put forward according to the working mode and load requirements. The economic dispatching model of heat and power cogeneration optimization in microgrid is established. The objective function considers the operation and maintenance cost, depreciation loss cost, fuel cost of micro gas turbine and start-up and shutdown cost of electric boiler, etc. The constraint conditions include the output force of each micro-power source, the climbing rate of the micro-gas turbine, the charging state and the capacity of the battery, and so on. The dynamic programming algorithm is used to solve the scheduling model of the cogeneration system in the independent micro-grid. Finally, the dynamic programming algorithm is used to solve the scheduling model of the cogeneration system. In order to verify the feasibility of the proposed dynamic optimal scheduling strategy and algorithm for the cogeneration of heat and power in independent microgrid, an example is given to verify and analyze the feasibility. The optimization program of dynamic programming algorithm is compiled under MATLAB. The optimization results show that the micro-grid can meet the demand of thermoelectric load, achieve energy balance, and achieve the economic operation goal under various operating conditions, the optimization results show that the micro-grid can meet the demand of thermoelectric load, achieve energy balance, and achieve the goal of economic operation. The optimal scheduling strategy proposed in this paper can realize the economic operation of cogeneration microgrid.
【学位授予单位】：内蒙古大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM73

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