Optimization Strategy for Incentive-Based Integrated Demand Response
Considering Multi-Dimensional Coupling Characteristics of Consumers
Abstract
Integrated Demand Response is increasingly recognized as a crucial tool
for maintaining balance between supply and demand in integrated energy
systems, and for enhancing the absorption and utilization rate of
renewable energy. A prerequisite for implementing IDR effectively is the
accurate modeling of consumer characteristics. However, existing models
have not accounted for the coupling characteristics of inter-energy
comfort and inter-period incentives when consumers participate in IDR;
they also overlook the Inter-consumer coupling characteristics. This
paper presents an inter-energy comfort coupling matrix and a
cross-elasticity coupling matrix for incentives, offering effective
modeling of the coupling characteristics between different energies and
periods. By introducing a dynamic participation rate, a mathematical
model of inter-consumer coupling characteristics is established.
Simulation results demonstrate that the model considering inter-energy
coupling characteristics produces significant reductions in response
power deviations and total costs of IESP, while also enhancing consumer
motivation to participate in IDR. The model that incorporates
inter-period coupling characteristics not only improves consumer
benefits and comfort levels in participating in IDR but also further
reduces response power deviations and total costs of IESPs. The model
considering inter-consumer coupling characteristics effectively
mitigates response power deviations resulting from consumers’ bounded
rationality by calculating the mathematical expectation of each
consumer’s response power.