High shares of distributed energy resources (DERs) transform distribution systems into active participants in integrated transmission and distribution (ITD) operations. Linear models enable scalable distribution-level flexibility aggregation but can misclassify AC feasible operating points, whereas direct nonlinear aggregation becomes costly, especially in multiperiod ITD coordination. This paper reformulates transmission-distribution coordination within a hierarchical optimization framework and introduces a non-iterative predictor-corrector aggregation method. By leveraging path-following techniques from real-time optimal control, the approach achieves tractable computation with guaranteed error bounds. Across 24 radial distribution-network cases and seven meshed variants, including the real KIT Campus North grid, the proposed method yields substantially lower sampled false- and lost-flexibility rates than linear surrogates and a convex relaxation. On two 24-period ITD testcases, the formulation reduces end-to-end wall-clock time by factors of 6 relative to the corresponding centralized formulation, primarily through dimensionality reduction.
A DNs cooperative optimization method based on resource aggregation and RL is proposed, which demonstrates the effectiveness and superiority of the proposed method in ensuring the secure operation of DNs.
Coordination schemes for large-scale power systems often fail to accurately capture dynamic processes, thereby compromising physical feasibility. This paper proposes a graph neural network-embedded differential algebraic equation constrained optimization framework (GNN-DAE-COF) that integrates physical constraints into...
Fei Teng, Yun-Peng Gao, Jiang-Zhao Wang et al.· IEEE Transactions on Automat...· 0 citations
The global shift toward renewable energy integration presents significant challenges for power grid stability due to the intermittent and uncertain nature of these resources. This paper addresses these challenges by developing and evaluating interactive control strategies for aggregating heterogeneous flexible loads,...
Zengjie Sun, Yuanyuan Wang, Xiaokui Ren et al.· Journal of Energy Engineerin...· 0 citations
Industrial microgrids are emerging as important providers of demand-side flexibility for active distribution networks. However, their participation in source–load coordination is hindered by complex production constraints, limited dispatch executability, and the widespread reliance on baseline-based demand response mec...
Converter-interfaced resources in active distribution networks (ADNs) can provide virtual-inertia support, but inertia coordination based on initial frequency-response metrics, such as the rate of change of frequency (RoCoF) and frequency nadir, may not fully capture dynamic interactions among converters, affecting ine...
Tian-Ze Yu, Huan-Xin Liao, Chao Yang et al.· Energies· 0 citations
Distributed renewable generation introduces spatially dispersed power fluctuations that must be balanced under local operating and communication constraints. Carbon dioxide energy storage systems (CO
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-ESS) offer a viable option for distributed storage applications, yet their economic dispatch is complicated b...