DER-inverter based reactive power ancillary service for supporting peer-to-peer transactive energy trading in distribution networks
Abstract
Fast proliferation of distributed energy resources (DERs) and emergence of peer-to-peer (P2P) energy trading are introducing significant operation challenges to distribution networks. This paper designs a multi-timescale reactive power ancillary service trading framework in this context. The framework consists ofa contract-based day-ahead Var reserve service trading stageandan hourly-ahead Var support service trading stage. At the day-ahead stage, the distribution system operator (DSO) signs a robust Var reserve contract with inverter-interfaced DERs which have sufficient Var capacity, and the problem is formulated as a two-stage robust optimization model considering uncertain nodal loads and hourly-ahead market behaviors. As an important advantage, the robust Var reserve contract eliminates the potential market power that the DERs may gain due to system configuration deficiency and market structure flaws at the later hourly-ahead trading stage. After uncertainty realization, at the hourly-ahead stage, DERs further provide the DSO with paid hourly-ahead Var supports using their spare Var capacity. The bilateral hourly-ahead Var trading between the DSO and DERs is modelled as a non-cooperative game. To attain a generalized Nash equilibrium (GNE) of the non-cooperative game, a distributed algorithm is developed by building the connection between the GNE and the primal-dual solution of a related social cost minimization problem. The proposed framework and methods are tested on t…
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High penetration of inverter-based DERs introduces more frequent and severe voltage excursions caused by stochastic generation and demand patterns.
“High penetration of inverter-based DERs brings significant flexibility for active and reactive power control, but also introduces new operational challenges, in particular, more frequent and severe voltage excursions caused by stochastic generation and demand patterns [1].”
From Physics-Informed AI-Based EV smart inverter control for two-stage Volt/Var coordination in renewable-rich active distribution networks (2026) · cites this paper as [1]
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Zhong, Y., Qiu, J., Yang, Y., Zhang, C., Tao, Y., Sun, X., & Lai, S. (2026) · Energy and AI · doi:10.1016/j.egyai.2026.100869
- Authors
- Zou, Y., & Xu, Y.
- Affiliations
- Nanyang Technological University (SG)
- ORCID
- Venue
- IEEE Transactions on Power Systems
- Published
- 2025-01
- Volume
- 40
- Issue
- 1
- Pages
- 753-764
- ISSN
- 0885-8950 (ISSN-L)
- 1558-0679
- OpenAlex
- W4399339146
- Cited by
- 25
- References
- 0
- Citations by year
- 2026: 11 · 2025: 10 · 2024: 4
- FWCI
- 2.59
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Transactions on Power Systems (publishedVersion)
- DR-NTU (Nanyang Technological University) (submittedVersion)
- Funders
- industrial project (021303-00004)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Power System Optimization
- Keywords
- peer-to-peer energy trading, distribution networks, two-stage robust optimization, non-cooperative game, generalized Nash equilibrium, distributed algorithms, social cost minimization, market power, bilateral trade
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