住民の電力コストを削減する電力取引システムを実証(Researchers test electricity trading system that could cut costs for residents)

2025-11-24 ワシントン州立大学 (WSU)

ワシントン州立大学(WSU)の研究チームは、家庭や小規模事業者が余剰電力を相互に売買できる“地域電力取引システム”を試験運用し、住民の電力コストを大幅に削減できる可能性を示した。システムは太陽光発電や蓄電池を持つ家庭からの余剰電力をリアルタイムで把握し、近隣の需要家へ最適に配分する「ピアツーピア電力市場」を構築。AIを用いた需給予測とブロックチェーン型の安全な取引管理により、既存電力網に負荷を与えずに低コストでエネルギーを融通できた。実証では、参加家庭の電力料金が最大15〜20%低下し、ピーク時の系統負荷も緩和された。研究者は、この分散型電力市場が、再生可能エネルギーの普及促進と地域エネルギーレジリエンス向上に寄与すると強調している。

住民の電力コストを削減する電力取引システムを実証(Researchers test electricity trading system that could cut costs for residents)
For the work, the researchers used battery assets and electricity feeders in Spokane’s Catalyst Building and South Landing Eco-District (photo courtesy of WSU Spokane).

<関連情報>

グリッドエッジシステムを実現するためのコミュニティベースのトランザクティブコーディネーションメカニズム Community-Based Transactive Coordination Mechanism for Enabling Grid-Edge Systems

John R. Theisen; Anjan Bose; Monish Mukherjee; Dan Burgess; Kenneth Wilhelm; Zoë Oens,…
IEEE Transactions on Industry Applications  Published:13 June 2025
DOI:https://doi.org/10.1109/TIA.2025.3579436

Abstract

The changing landscape of the electricity industry, characterized by a surge in distributed energy resources (DERs) and proactive customers, necessitates practical solutions for coordinated operation especially at the distribution-level. This paper introduces a community-based transactive coordination mechanism designed to incentivize customers for providing localized and system-level services reflected through real-time prices. The work presents a bidding approach for communities, representing collectives of customers, to formulate their price-responsiveness for retail energy coordination, emphasizing a community-centric model. By sending bidding curves to a third-party, the mechanism enables customers with DER assets to actively participate in localized coordination with the Load Serving Entity (LSE), supplementing each other’s and even the utility’s needs through a shared energy economy. The proposed transactive mechanism is implemented leveraging a co-simulation framework that integrates a distribution grid simulator with control agents for performance evaluation. Simulation-based evaluation on a real distribution system use-case, in collaboration with a local utility, demonstrate the potential of the mechanism to reduce energy costs up to 12% for communities with DERs like solar photovoltaic (PV) and battery energy storage systems (BESS). The mechanism’s effectiveness is further validated through field tests conducted on a utility’s real system, utilizing a 1.32 MWh battery resource.

 

 

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