摘要
市场清算电价 ( MCP)预测是电力市场决策的基础。文中以浙江省电力市场为背景 ,采用 BP神经网络的方法 ,建立了提前一天的浙江电网发电市场清算电价短期预测模型 ,并针对不同时段分别建模。此外 ,根据浙江发电市场的特点 ,考虑市场外机组出力的影响 ,从供需出发 ,提出了竞价空间的概念 ,并据此设计了神经网络的结构。在线预测结果表明 ,该方法具有良好的预测效果。
Forecasting the market- clearing price MCP is the basis of decision making for each participant in electricity market.This paper presents a successful application of back- propagation neural network to forecast MCP in Zhejiang day- ahead generation m arket.By this method,different models are designed for the different settlem ent periods respectively. Especially,according to Zhejiang circumstance,a new concept of Bidding Space based on the relationship between supply and demand,which reflects the existences of generators'output outside the com petitive m arket,is used in m odeling.Preliminary application to the real power system shows the efficiency and accuracy of the proposed m ethod.
出处
《电力系统自动化》
EI
CSCD
北大核心
2002年第9期49-52,共4页
Automation of Electric Power Systems
关键词
神经网络
浙江
发电市场
清算
电价
预测
electricity market
m arket- clearing price MCP
neural network
price forecasting
bidding space
