A Repair-Based Improved Whale Optimization Algorithm for Low-Carbon Economic Dispatch of an Islanded Renewable Microgrid
孤立型再生可能エネルギーマイクログリッドの低炭素経済ディスパッチのための修復ベース改良型クジラ最適化アルゴリズム (AI 翻訳)
Haozhe Xiong, Daojun Tan, Yiqun Kang, Li You, Fangbin Yan, F L Liu, Qinyue Tan
🤖 gxceed AI 要約
日本語
本論文は、孤立型再生可能エネルギーマイクログリッドの低炭素経済ディスパッチモデルを提案する。目的関数には燃料費、運用保守費、蓄電池劣化費、再生可能エネルギー棄却費、負荷遮断費、デマンドレスポンス補償費、炭素排出費用が含まれる。提案手法は修復ベースの制約処理戦略と改良型クジラ最適化アルゴリズム（WOA）を用いており、多様性向上、探索・活用のバランス、局所逃避と洗練の3モジュールから構成される。実験では、標準WOAと比較して平均コスト4.07%削減、標準偏差79.72%低減を達成した。
English
This paper proposes a low-carbon economic dispatch model for an islanded renewable microgrid. The objective includes fuel, O&M, BESS degradation, curtailment, load shedding, DR compensation, and carbon emission costs. A repair-based constraint handling and an improved whale optimization algorithm (WOA) with three modules (diversity enhancement, exploration-exploitation balancing, local escape and refinement) are developed. The method achieves a mean cost 4.07% lower and standard deviation 79.72% lower than standard WOA.
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
日本では離島や地域マイクログリッドの低炭素化が課題となっており、炭素価格を考慮した最適運用は実務的に関心が高い。本手法は、蓄電池劣化やDR、カーボンプライシングを含む統合的モデルであり、日本の分散型エネルギーシステムへの応用が期待される。
In the global GX context
Globally, the integration of carbon emission costs into microgrid dispatch is increasingly relevant under carbon pricing regimes. The repair-based optimization approach and improved WOA contribute to the methodological toolbox for low-carbon energy system operation, with potential applications in remote or island microgrids worldwide.
👥 読者別の含意
🔬研究者:The paper offers an improved metaheuristic for low-carbon dispatch optimization, useful for researchers in energy systems and optimization.
🏢実務担当者:Microgrid operators can consider the proposed model and algorithm for cost-efficient and low-carbon day-ahead dispatch.
🏛政策担当者:The inclusion of carbon costs in dispatch optimization demonstrates a practical approach to operationalize carbon pricing in electricity sectors.
📄 Abstract（原文）
Islanded renewable microgrids must balance power internally, so day-ahead dispatch is affected by wind and photovoltaic variability, battery state-of-charge (SOC) dynamics, demand-response (DR) participation, and emissions from dispatchable generation. This paper proposes a low-carbon economic dispatch model for an islanded photovoltaic–wind-turbine–battery-energy-storage–dispatchable-generator–demand-response (PV-WT-BESS-DG-DR) microgrid. The objective includes fuel, operation and maintenance, BESS degradation, renewable curtailment, load shedding, DR compensation, and carbon-emission costs. A repair-based constraint-handling strategy keeps the search space continuous while enforcing power balance, DG ramping, BESS operating and SOC limits, terminal SOC, and DR constraints. An improved whale optimization algorithm (WOA) is then developed with three modules: diversity enhancement, exploration–exploitation balancing, and local escape and refinement. The method is assessed through base-case dispatch, benchmark comparison, strategy comparison, ablation tests, and sensitivity analysis. In 30 independent runs, the proposed method achieves a mean cost of 2662.96 CNY/day, 4.07% lower than standard WOA, and reduces the standard deviation by 79.72%. Wilcoxon and Friedman tests confirm significant differences from the benchmark algorithms. Sensitivity tests show that higher BESS degradation coefficients and carbon prices increase the accounting cost but do not change the qualitative feasibility of the deterministic dispatch framework.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/app16125952first seen 2026-06-17 05:06:24 · last seen 2026-06-17 07:11:54
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