An Accelerated Stackelberg Game Approach for Distributed Energy Resource Aggregator participating in Energy and Reserve Markets Considering Security Check
Zhijun Shen, Mingbo Liu, Lixin Xu, Wentian Lu

TL;DR
This paper presents an accelerated Stackelberg game model for DER aggregators in energy markets, incorporating security checks to ensure distribution system security, solved efficiently with a novel algorithm, validated on real systems.
Contribution
It introduces a bi-level mixed-integer linear programming model with an accelerated solution algorithm for secure DER aggregator participation in energy markets.
Findings
Downward reserve decreases with security constraints
Proposed model effectively captures security considerations
Algorithm efficiently solves complex bi-level problems
Abstract
With increasing distributed energy resoures (DERs) integration, the strategic behavior of a DER aggregator in electricity markets will significantly affect the secure operation of the distribution system. In this paper, the interactions among the DER aggregator, energy and reserve markets, and distribution system are investigated through a single-leader-multi-follower Stackelberg game model with the DER aggregator as the leader and the independent system operator and distribution system operator as the followers. To guarantee the operation security of the distribution system, security check problems under three different scenarios are involved in the follower level, which is linearized using a mixed-integer linearized power flow model. Then, using the strong duality theorem, the proposed model is converted into a bi-level mixed-integer linear (BMILP) programming model with only…
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Taxonomy
TopicsOptimal Power Flow Distribution · Smart Grid Energy Management · Integrated Energy Systems Optimization
