基于遗传算法的微电网负荷优化分配

发布时间：2018-04-26 14:36

本文选题：负荷优化分配 + 优化模型　；参考：《中国管理科学》2014年03期

【摘要】：负荷优化分配是电力系统中的一类重要优化问题,即在满足各类系统约束条件下,实现发电总成本最低。为了促进微电网的优化运行,本文研究了包含柴油发电机、微型燃气轮机、光伏发电机和风力发电机组成的微电网的负荷优化分配问题。首先简要分析了各个微电源的发电特征和成本函数,然后分别建立了孤岛模式和并网模式下的微电网负荷优化分配模型,孤岛模式下优化模型的目标函数是包含燃料成本和运行维护成本的总成本,约束条件包括发电能力约束和系统功率平衡约束,并网模式下的优化模型则在此基础上,在目标函数中增加了其与大电网交易的收入和支出,在约束条件中增加了电力交易约束。最后,通过遗传算法分别对两种模式下的优化模型进行仿真求解。结果表明,本文提出的负荷优化分配方法可以有效降低微电网的运行成本,促进微电网的优化运行。
[Abstract]:Load optimal distribution is an important optimization problem in power system, that is to say, the total cost of generating power is the lowest under all kinds of system constraints. In order to promote the optimal operation of microgrid, this paper studies the optimal load distribution of microgrid, which consists of diesel generator, micro gas turbine, photovoltaic generator and wind turbine. Firstly, the generation characteristics and cost function of each micro-power supply are analyzed briefly, and then the load optimal distribution models of micro-grid under islanding mode and grid-connected mode are established, respectively. The objective function of the optimization model in isolated island mode is the total cost of fuel cost and operation and maintenance cost. The constraints include power generation capacity constraints and system power balance constraints, and the optimization model in grid-connected mode is based on this. In the objective function, the revenue and expenditure of the transaction with the large power grid are increased, and the power transaction constraints are added in the constraint conditions. Finally, the genetic algorithm is used to solve the optimization model in two modes. The results show that the load optimal distribution method proposed in this paper can effectively reduce the operating cost of microgrid and promote the optimal operation of micro-grid.
【作者单位】：合肥工业大学管理学院;过程优化与智能决策教育部重点实验室;
【基金】：国家高技术研究发展计划(863)(2011AA05A116) 国家自然科学基金资助项目(71131002,71201042)
【分类号】：TM714

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