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Abstract
In a completely open energy market, the networkconnected combined heat and power system (CHPs) is built in an energy supplying area. After the loads in the area are satisfied, its surplus heat and electricity will be imported to the corresponding heat and electric networks to gain additional profits. A maximum profit controller was proposed in this paper, together with the economic operation strategy. Through the status combination of the heat and electricity export to the network from the CHP or import to the energy supplying area from the network, we establish four profit models for the networkconnected CHP and divid the CHP operation curve into several optimizing intervals of a day. Each interval corresponds to a specific profit model. Then, in each interval, we use gray forecasting model combined with least square method to work out the energy prices. Based on these prices, the discrete optimal solution of each interval's profit model can be obtained. Considering ramp rate, we use dynamic programming method to obtain optimal operation strategy in real time. Finally, we send all operation data into historical database as feedback control. Through all the steps above, the networkconnected CHP's optimal operation strategy can be obtained with the maximum profit. Also, a demonstration example is conducted with a 1MW networkconnected CHP in this paper.
Original language  English 

Pages (fromto)  685696 
Number of pages  12 
Journal  Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering 
Volume  38 
Issue number  3 
DOIs  
Publication status  Published  23 Mar 2018 
Keywords
 Discrete profit model
 Dynamic programming
 Maximum profit
 Networkconnected combined heat and power
 Open energy market
 Price forecasting
ASJC Scopus subject areas
 Electrical and Electronic Engineering
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 1 Finished

Fellowship  MultiVector Energy Distribution System Modelling and Optimisation with Integrated Demand Side Response
Engineering and Physical Sciences Research Council
1/09/14 → 31/08/17
Project: Research council