Hierarchical Energy Management for Renewable Energy Communities Using MPC and Rule-Based Control with Peer-to-Peer Energy Trading
再生可能エネルギーコミュニティのための階層的エネルギー管理：MPCとルールベース制御を用いたピアツーピアエネルギー取引 (AI 翻訳)
Saleem S, Poullikkas A, Qureshi MA, Achilleos A, Lestas M, Christofides N
🤖 gxceed AI 要約
日本語
本論文は、キプロスの住宅用エネルギーコミュニティを対象に、ルールベースの最小実用プロトタイプとモデル予測制御（MPC）を組み合わせた階層的分散型エネルギー管理システム（EMS）を提案する。コミュニティバッテリーのMPC運用により、電力コストを最大23.4%削減し、系統輸入電力を約6-7%低減、コミュニティ自給率を1-2%向上させた。長期的には時間帯別料金の下で経済的メリットが顕著となる。
English
This paper proposes a hierarchical decentralized Energy Management System (EMS) for a residential energy community in Cyprus, combining a rule-based minimum viable prototype with Model Predictive Control (MPC) for community battery management. The MPC-based strategy achieves up to 23.4% reduction in electricity cost, approximately 6-7% reduction in grid energy imports, and a 1-2% increase in community self-sufficiency. Long-term benefits are significant under time-varying tariffs.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本でもFIT終了後の再エネコミュニティ形成が進む中、本論文の階層型EMSは地域エネルギー管理の参考となる。特に、コミュニティバッテリーのMPC制御によるコスト削減効果は、日本の配電網制約下での導入可能性を示唆する。
In the global GX context
As renewable energy communities gain traction globally, this study provides a practical demonstration of MPC-based hierarchical EMS for reducing costs and grid dependence. The findings offer a blueprint for integrated community battery management, relevant for regions with high renewable penetration and limited grid flexibility.
👥 読者別の含意
🔬研究者:Provides a validated hierarchical MPC framework for community-level energy management with real data.
🏢実務担当者:Offers a blueprint for designing EMS that integrates P2P trading and community storage to reduce costs.
🏛政策担当者:Highlights the benefits of supporting community battery storage and P2P trading in renewable energy policies.
📄 Abstract（原文）
Islanded and weakly interconnected power systems face increasing operational challenges as the penetration of renewable energy grows, particularly in environments with limited flexibility and reserve support. This study investigates a residential energy community in Cyprus using real time prosumer data and proposes a hierarchical decentralized Energy Management System (EMS). The EMS was initially implemented as a rule-based Minimum Viable Prototype (MVP), enabling practical validation of system operation and data integrity under realistic conditions. Building on this foundation, the final EMS adopts a three-layer control architecture in which rule-based household storage operation and peer-to-peer energy trading are complemented by a community-level Model Predictive Control (MPC) strategy for shared battery management. The MPC leverages short-term net-energy forecasts to proactively schedule charging and discharging of the community battery with the objective of reducing grid energy imports and improving local renewable energy utilization, while respecting battery operational limits and regulatory constraints. Simulation results based on measured data demonstrate consistent improvements over the rule-based baseline, achieving up to 23.4% reduction in electricity cost, approximately 6–7% reduction in grid energy imports, and a 1–2% increase in community self-sufficiency. Although the reduction in imported energy is moderate, its cumulative impact over long-term operation leads to significant economic benefits under time-varying tariffs. These results demonstrate that even when MPC is applied exclusively at the community battery layer, coordinated system-level energy management can deliver stable and economically meaningful improvements under realistic operating conditions.
🔗 Provenance — このレコードを発見したソース
- Research Square https://doi.org/10.20944/preprints202606.1268.v1first seen 2026-06-20 04:50:15 · last seen 2026-06-30 04:55:16
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。