Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: It is now ll known that flexibility of energy consumption can be harnessed for the purposes of grid-level ancillary services. In particular, through distributed control of a collection of loads, a balancing authority regulation signal can be tracked accurately, while ensuring that the quality of service (QoS) for each load is acceptable {\it on average}.  it is argued that a histogram of QoS is approximately Gaussian, and consequently each load will eventually receive poor service. Statistical techniques are developed to estimate the mean and variance of QoS as a function of the por spectral density of the regulation signal. It is also shown that additional local control can eliminate risk: The histogram of QoS is {\it truncated} through this local control, so that strict bounds on service quality are guaranteed. While there is a tradeoff beten the grid-level tracking performance (capacity and accuracy) and the bounds imposed on QoS, it is found that the loss of capacity is minor in typical cases.
['Yue Chen', 'Ana Busic', 'Sean P. Meyn']
I am writing a research paper on a idea Estimation and Control of Quality of Service in Demand Dispatch
[{"from": "human", "value": "I am writing a research paper on a idea Estimation and Control of Quality of Service in Demand Dispatch"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: It is now ll known that flexibility of energy consumption can be harnessed for the purposes of grid-level ancillary services. In particular, through distributed control of a collection of loads, a balancing authority regulation signal can be tracked accurately, while ensuring that the quality of service (QoS) for each load is acceptable {\\it on average}.  it is argued that a histogram of QoS is approximately Gaussian, and consequently each load will eventually receive poor service. Statistical techniques are developed to estimate the mean and variance of QoS as a function of the por spectral density of the regulation signal. It is also shown that additional local control can eliminate risk: The histogram of QoS is {\\it truncated} through this local control, so that strict bounds on service quality are guaranteed. While there is a tradeoff beten the grid-level tracking performance (capacity and accuracy) and the bounds imposed on QoS, it is found that the loss of capacity is minor in typical cases."}]