基于RDA的微网内部分布式电源均衡调度策略研究

STUDY ON THE EQUILIBRIUM DISPATCHING STRATEGY OF DISTRIBUTED GENERATOR IN MICROGRID BASED ON REPLICATOR DYNAMICS ALGORITHM

针对微网内部分布式电源的调度问题,提出一种新能源电力系统环境下微网内部优化调度模型与解法。基于微网的多代理结构形式,建立微网内部分布式电源的均衡调度模型,利用模仿者动态算法处理微网内部调度资源分配问题。通过分析分布式电源的适应度系数与可调容量,提出多方共赢的微网内部分布式电源均衡调度策略。通过算例分析,与传统基于市场机制的微网调度方法相比,模仿者动态学习算法在解决微网内部分布式电源调度方面具有简便、易拓展的特点,同时又能有效控制调度成本,证明所提模型和算法的合理性和有效性。

In allusion to dispatching the resources in microgrid （MG）, a new optimal MG dispatching model of new energy power system was proposed. Using the replicator dynamics of the evolutionary game treated the resource allocation problem in MG and built a MG Equilibrium dispatching model based on the multi agent structure of MG. By means of analysing the fitness coefficient and dispatch able power of different distributed generator （DG） of the MG proposed the DG dispatching strategy of win-win. Analysis by a simulation example, compared with the traditional dispatching way of market-based control in MG, replicator dynamics algorithm showed good characteristics of convenient and easy to develop, and control costs effectively. Simulation results showed that the proposed model is reasonable and effective.