QI Bing, LIU Lin, LI Bin, LI Dezhi, CHEN Songsong, CUI Gaoying. Real-time Optimal Control of Household Appliance Load Based on Intelligent Negotiation[J]. Modern Electric Power, 2017, 34(5): 30-37.
Citation: QI Bing, LIU Lin, LI Bin, LI Dezhi, CHEN Songsong, CUI Gaoying. Real-time Optimal Control of Household Appliance Load Based on Intelligent Negotiation[J]. Modern Electric Power, 2017, 34(5): 30-37.

Real-time Optimal Control of Household Appliance Load Based on Intelligent Negotiation

  • As to real-time optimization control of household appliance load based on intelligent negotiation, general characteristics of controllable load, such as scalability, interruptablility and transferability, and dynamic multi-priority of load and users tolerance to controllable load are considered in this paper, and a novel heuristic algorithm of household appliance load based on intelligent negotiation which extends the OpenADR protocol is proposed. Based on the OMNeT++ discrete event simulation tool, the intelligent negotiation algorithm is simulated and verified by real-time interactive communication and negotiation.The experimental results indicate that the algorithm achieves the effect of optimizing the load curve and stabilizing the load fluctuation in the tolerance range of load control, and the average value of the peak-valley difference reduction rate reaches 24.24%.
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