Optimal price signal generation for demand-side energy management
arxiv(2024)
摘要
Renewable Energy Sources play a key role in smart energy systems. To achieve
100
becomes the cost-efficient option to balance the grid. However, it is not
trivial to exploit these available capacities and flexibility options
profitably. The amount of available flexibility is a complex and time-varying
function of the price signal and weather forecasts. In this work, we use a
Flexibility Function to represent the relationship between the price signal and
the demand and investigate optimization problems for the price signal
computation. Consequently, this study considers the higher and lower levels in
the hierarchy from the markets to appliances, households, and districts. This
paper investigates optimal price generation via the Flexibility Function and
studies its employment in controller design for demand-side management, its
capability to provide ancillary services for balancing throughout the Smart
Energy Operating System, and its effect on the physical level performance.
Sequential and simultaneous approaches for computing the price signal, along
with various cost functions are analyzed and compared. Simulation results
demonstrate the generated price/penalty signal and its employment in a model
predictive controller.
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