楼宇新能源控制系统算法研究

Study on Algorithm of Building New Energy Control System

在应用新能源的楼宇能量控制系统中,对新能源控制系统的成本采用极值搜索算法,并运用具有深度结构的人工神经网络进行优化的随机失活(Dropout)方法的理念,对算法进行优化、分析。结果表明:此算法可快速找到楼宇新能源控制系统配置蓄电池的最佳容量、蓄电池成本的盈亏平衡点以及实时控制的最佳控制策略。

The extremum seeking algorithm applied in calculating the cost of building new energy control system is analyzed and optimized by Dropout optimized by deep artificial neural network.The result indicates that,the algorithm helps to identify the optimal capacity of storage battery of new energy control system,the break even point,and the optimum real-time control strategy.