Journal
ENERGY SYSTEMS-OPTIMIZATION MODELING SIMULATION AND ECONOMIC ASPECTS
Volume 14, Issue 3, Pages 707-729Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s12667-020-00407-7
Keywords
Bilevel problem; Grid tariffs; Mathematical program with equilibrium constraints (MPEC); Uncertainty
Categories
Ask authors/readers for more resources
This paper introduces a method for optimal grid tariff design under decentralized decision-making and uncertainty. The results suggest that a well-designed electricity grid tariff can reduce aggregate network peaks.
As the end-users increasingly can provide flexibility to the power system, it is important to consider how this flexibility can be activated as a resource for the grid. Electricity network tariffs is one option that can be used to activate this flexibility. Therefore, by designing efficient grid tariffs, it might be possible to reduce the total costs in the power system by incentivizing a change in consumption patterns. This paper provides a methodology for optimal grid tariff design under decentralized decision-making and uncertainty in demand, power prices, and renewable generation. A bilevel model is formulated to adequately describe the interaction between the end-users and a distribution system operator. In addition, a centralized decision-making model is provided for benchmarking purposes. The bilevel model is reformulated as a mixed-integer linear problem solvable by branch-and-cut techniques. Results based on both deterministic and stochastic settings are presented and discussed. The findings suggest how electricity grid tariffs should be designed to provide an efficient price signal for reducing aggregate network peaks.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available