基于多Agent的含风电场电力系统智能调度方法研究

发布时间：2018-04-03 01:14

本文选题：风电　切入点：多Agent系统　出处：《燕山大学》2014年硕士论文

【摘要】：随着生态环境的恶化和化石能源的消耗，可再生能源发电受到了越来越多的关注。风力发电成本低、装机容量灵活，在可再生能源发电中占有日趋重要的地位。但是风力发电的输出功率具有间歇性和随机性的特点，随着并网运行的风电场规模的不断扩大，传统的电力系统调度方法已经无法满足新形势下电力系统运行的要求，因此，研究含风电场并网后的电力系统调度方法具有十分重要的理论和现实意义。结合多Agent系统和电网调度的特点，研究了一种基于多Agent的含风电场电力系统智能调度系统构架。根据电网运行的实际情况，将多Agent调度系统分为管理层、调度层和消费层，电网的调度管理中心为管理层，各个并网运行的机组为调度层，电网的用户为消费层。多Agent系统中的协作均采用黑板模式，消费层Agent之间通信采用消息传送模式，其余的Agent之间通信采用黑板模式。研究了多Agent系统调度模型中的全局Agent和决策Agent，并说明了其重要性，决策Agent为全局Agent提供决策支持。在此基础上研究了含风电场的电力系统调度模型，并应用博弈论进行求解，以常规发电机组和风电机组作为博弈的参与者，以两方的发电容量作为博弈的策略集，，建立了博弈调度方法的数学模型。通过求解模型的纳什均衡，可以获得发电成本最小的调度策略。最后在考虑含风电场的电力系统调度的不确定性的基础上，以改进的IEEE9节点算例进行仿真分析。仿真结果表明，本文提出的基于博弈论的调度方法在保证电力系统安全运行的前提下，可以合理充分地利用风力发电，减少系统的发电成本。
[Abstract]:With the deterioration of ecological environment and the consumption of fossil energy, more and more attention has been paid to renewable energy generation.Wind power generation plays an increasingly important role in renewable energy generation due to its low cost and flexible installed capacity.However, the output power of wind power generation has the characteristics of intermittence and randomness. With the continuous expansion of the scale of the wind farm connected to the grid, the traditional power system dispatching method can no longer meet the requirements of the power system operation under the new situation.It is of great theoretical and practical significance to study the dispatching method of power system with wind farm connected to grid.According to the characteristics of multi-#en0# system and power grid dispatching, a multi-#en1# based intelligent dispatching system architecture for wind farm power system is studied.According to the actual situation of power grid operation, the multi-#en0# dispatching system is divided into management layer, dispatching layer and consumption layer, the power grid dispatching management center is the management layer, each connected unit is the dispatching layer, and the power grid user is the consumer layer.Blackboard mode is used for cooperation in multi-#en0# system, message transfer mode is used for communication between Agent in consuming layer, and blackboard mode is used for communication among other Agent.In this paper, the global Agent and decision agent in the scheduling model of multiple Agent systems are studied, and its importance is explained. Decision Agent provides decision support for global Agent.On this basis, the dispatching model of power system with wind farm is studied and solved by game theory. The conventional generator and wind turbine are used as participants in the game, and the generation capacity of both sides is taken as the strategy set of the game.The mathematical model of game scheduling method is established.By solving the Nash equilibrium of the model, the scheduling strategy with minimum generation cost can be obtained.Finally, on the basis of considering the uncertainty of power system dispatching with wind farm, an improved IEEE9 node is simulated and analyzed.The simulation results show that the proposed dispatching method based on game theory can make full use of wind power and reduce the power generation cost under the premise of ensuring the safe operation of power system.
【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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