Power Demanding Control for Energy-intensive Enterprises based on Load Transfer Dispatch
Xing Wen1, 2, Duan Bin1, 2, 3
1. College of Information Engineering, Xiangtan University, Xiangtan, Hu’nan 411105; 2. Cooperative Innovation Center of Wind Power Equipment and Energy Conversion, Xiangtan, Hu’nan 411105; 3. Key Laboratory of Intelligent Computing & Information Processing of Ministry of Education, Xiangtan, Hu’nan 411105
Abstract：According to the problem of energy-intensive enterprises for using electrical response under demand control and then considering the cost of basic tariff in the production under the premise of the existing two-part tariff , therefore, a load transfer dispatch in energy-intensive enterprises approach is proposed for power demand control. We adopted the load forecasting by Elman neural network on this basis of minimizing the cost of basic tariff for motivation and established model of day-ahead load transfer dispatch in energy-intensive enterprises production. It could increase the range of maximum demand controlling for energy-intensive enterprises demand control system. The example shows that the daily basic tariff ratio is about 2.7% when implementing model of load transfer dispatch compared with no implementing demanding control, the daily basic tariff ratio is control about 1.04% compared against when only owned smart device real-time demanding.
邢文, 段斌. 基于负荷转移调度的高耗能企业电能需量控制[J]. 电气技术, 2016, 17(9): 70-76.
Xing Wen, Duan Bin. Power Demanding Control for Energy-intensive Enterprises based on Load Transfer Dispatch. Electrical Engineering, 2016, 17(9): 70-76.
2016, Vol. 17 
