微网综合效益分析与能量优化调度研究

发布时间：2018-01-18 16:17

本文关键词：微网综合效益分析与能量优化调度研究　出处：《华北电力大学》2014年硕士论文　论文类型：学位论文

【摘要】：随着我国经济快速发展,对于能源的需求与日俱增,而传统化石能源日益枯竭,合理高效的开发利用清洁绿色能源迫在眉睫。微网作为绿色分布式能源的有效接入方式,正日益引起全世界的关注。微网作为一种新型供能系统,其调度策略与传统电网有很大的不同,因此研究微网能量优化调度对于实现其安全、可靠、经济和高效运行具有重要意义。本文针对并网模式下的微网能量优化调度问题,建立了含多种分布式发电的微网能量优化调度模型,该模型通过对光伏、风电功率和负荷预测误差进行概率建模,并将其转化为各可控微电源的出力约束。将模型中大量约束条件处理成一个新的目标,从而将所建的微网能量优化调度模型转化为双目标模型,采用粒子群优化算法进行求解,通过在求解过程中引入多父体单形杂交算子,避免粒子群算法的早熟收敛,同时使得算法能够跳出局部最优,从而得到微网能量调度的优化结果；通过典型微网夏冬场景的对比分析,结果表明本文所提微网能量优化调度模型具有更高的经济性和可靠性。微网具有灵活配置资源和能源高效清洁利用的优势,因此如何充分发挥容量配置和优化运行的潜力,准确地进行微网综合效益评估对微网规划和运行都具有重要指导意义。本文建立了协调考虑微网容量配置和优化运行,包括经济、环境、网损和可靠性方面的微网综合效益评估二层规划模型,并给出了基于粒子群优化算法的求解方法。通过对并网和孤岛模式下的微网典型应用场景的仿真计算,并与传统分供形式的效益进行对比,结果表明本文的模型和方法能够给出不同应用场景下最优的微网容量配置方案,及相应的综合效益分析结果,同时还对影响微网综合效益的关键因素进行了灵敏度分析。
[Abstract]:With the rapid development of China's economy, the demand for energy is increasing day by day, while the traditional fossil energy is increasingly depleted. It is urgent to develop and utilize clean green energy reasonably and efficiently. As an effective access mode of green distributed energy, microgrid is attracting more and more attention all over the world. As a new type of energy supply system, the scheduling strategy of microgrid is very different from that of traditional power grid, so it is safe and reliable to study the optimal scheduling of micro-grid energy. Economic and efficient operation is of great significance. In order to solve the problem of microgrid energy optimal scheduling in grid-connected mode, a microgrid energy optimal scheduling model with a variety of distributed generation is established in this paper. The probabilistic modeling of wind power and load forecasting error is carried out, which is transformed into the output constraint of each controllable micro-power supply, and a large number of constraints in the model are treated as a new target. Thus the energy optimal scheduling model is transformed into a two-objective model, particle swarm optimization algorithm is used to solve the problem, and a multi-parent simplex hybrid operator is introduced in the process of solution. To avoid premature convergence of particle swarm optimization (PSO), the algorithm can jump out of the local optimum and get the optimal result of energy scheduling of microgrid. Through the comparison and analysis of typical microgrid in summer and winter, the results show that the energy optimal scheduling model proposed in this paper is more economical and reliable. Microgrid has the advantages of flexible allocation of resources and efficient and clean utilization of energy, so how to give full play to the potential of capacity allocation and optimal operation. It is very important for planning and operation of microgrid to evaluate the comprehensive benefit of microgrid accurately. In this paper, we establish a coordinated consideration of capacity allocation and optimal operation of microgrid, including economy and environment. The two-layer programming model of microgrid comprehensive benefit evaluation in terms of network loss and reliability is presented, and the solution method based on particle swarm optimization algorithm is given. The simulation of typical application scenarios of microgrid in grid-connected and islanding mode is carried out. The results show that the model and method in this paper can give the optimal micro-grid capacity configuration scheme under different application scenarios and the corresponding comprehensive benefit analysis results. At the same time, the sensitivity analysis of the key factors that affect the comprehensive benefit of microgrid is carried out.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM73

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