Chance-constrained comfort-centric loss minimization in renewable distribution grids through mutual-interest approachShow others and affiliations
2026 (English)In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 414, article id 127826Article in journal (Refereed) Published
Abstract [en]
High penetration of distributed energy resources (DERs) motivates coordination mechanisms that reconcile individually preferred operation with mutual-interest performance in microgrids. Achieving mutual-interest objectives remains challenging due to the need for fair treatment of network-related responsibility. One of the most crucial mutual-interests of the power grids is network loss. Hence, proposing effective mechanisms that encourage loss reduction, and explicit representation of heterogeneous owner preferences in a fair manner is of vital importance. This paper develops a comfort-based market-clearing framework in which each DER owner is characterized by a monetary comfort value ($/MWh) that quantifies how strongly the owner weights the mutual-interest objective (network loss minimization) relative to their preferred operating schedule, while ensuring that all participants’ comfort preferences are satisfied. The main novelty is twofold: (i) embedding owner-specific comfort into the loss-related payment component so that loss responsibility becomes preference-aware across DERs, and (ii) solving the resulting comfort-based, network-constrained market-clearing problem in a decentralized manner to preserve privacy and enable scalability. Simulations on the IEEE 30-bus distribution test system demonstrate that the proposed framework reduces total network losses and improves voltage profiles, and illustrates how comfort values tune the trade-off between mutual-interest performance and individual operating preferences.Â
Place, publisher, year, edition, pages
Elsevier, 2026. Vol. 414, article id 127826
Keywords [en]
Comfort, Distribution system operator, Loss minimization, Mutual interests, Renewable grid, Commerce, Constrained optimization, Distributed energy, Electric power transmission networks, Energy resources, Distributed Energy Resources, Distribution systems, Losses minimizations, Mutual interest, Network loss, Renewables, System operator, alternative energy, energy market, performance assessment, simulation, smart grid, trade-off, Economic and social effects
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kau:diva-109758DOI: 10.1016/j.apenergy.2026.127826ISI: 001741007400001Scopus ID: 2-s2.0-105034908671OAI: oai:DiVA.org:kau-109758DiVA, id: diva2:2054271
2026-04-202026-04-202026-04-27Bibliographically approved