Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Demand Response is playing an increasingly important role in smart grid control strategies. Modeling the dynamical behavior of a large population of appliances under demand response is especially important to evaluate the effectiveness of various demand response programs.  an aggregate model is proposed for a class of second-order Thermostatically Controlled Loads (TCLs). The model efficiently includes statistical information of the population, systematically deals with heterogeneity, and accounts for a second-order effect necessary to accurately capture the transient dynamics in the collective response. A good performance of the model hover requires a high state dimension which dramatically complicates its formal analysis and controller design. To address this issue, a model reduction approach is developed for the proposed aggre-gate model, which can significantly reduce its complexity with small performance loss. The original and the reduced-order aggregate models are validated against simulations of thousands of detailed building models using GridLAB-D (an open-source distribution simulation software). The results indicate that the reduced-order model can accurately reproduce the steady-state and transient dynamics generated by GridLAB-D simulations with a much reduced complexity.
['Wei Zhang', 'Jianming Lian', 'Chin-Yao Chang', 'Karanjit Kalsi', 'Yannan Sun']
I am writing a research paper on a idea Reduced-order modeling of aggregated thermostatic loads with demand response
[{"from": "human", "value": "I am writing a research paper on a idea Reduced-order modeling of aggregated thermostatic loads with demand response"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Demand Response is playing an increasingly important role in smart grid control strategies. Modeling the dynamical behavior of a large population of appliances under demand response is especially important to evaluate the effectiveness of various demand response programs.  an aggregate model is proposed for a class of second-order Thermostatically Controlled Loads (TCLs). The model efficiently includes statistical information of the population, systematically deals with heterogeneity, and accounts for a second-order effect necessary to accurately capture the transient dynamics in the collective response. A good performance of the model hover requires a high state dimension which dramatically complicates its formal analysis and controller design. To address this issue, a model reduction approach is developed for the proposed aggre-gate model, which can significantly reduce its complexity with small performance loss. The original and the reduced-order aggregate models are validated against simulations of thousands of detailed building models using GridLAB-D (an open-source distribution simulation software). The results indicate that the reduced-order model can accurately reproduce the steady-state and transient dynamics generated by GridLAB-D simulations with a much reduced complexity."}]