Akademik Veri Yönetim Sistemi
Journal of Energy Storage, cilt.165, 2026 (SCI-Expanded, Scopus)
High renewable penetration in integrated energy systems (IES) requires decentralized market mechanisms that enhance renewable utilization while preserving operational security and participant privacy. This paper proposes a stochastic peer-to-peer (P2P) energy trading framework that iteratively coordinates a Continuous Double Auction (CDA) with an Integrated Multi-energy Microgrid Optimizer (IMMO). The framework jointly schedules distributed energy resources (DERs), batteries, and power-to-gas units while enforcing AC constraints and steady-state gas network limitations. Uncertainties in renewable generation and demand are modeled using copula-based scenario generation with scenario reduction. Benchmarked against alternative frameworks, the proposed iterative CDA–IMMO lowers operating costs by 21.4% relative to the no-P2P case, improves by 19.7% relative to the non-iterative one-shot clearing baseline, and remains within 0.70% of the centralized P2P benchmark. Out-of-sample evaluation across 50 scenarios demonstrates lower expected costs, reduced renewable curtailment, and improved power grid indicators compared to the deterministic network-constrained P2P market. Additional sensitivity analyses confirm scalability across network sizes and robustness under varying system conditions.