Optimal Planning of Renewable Energy Sources for Electricity Generation Based on Technical, Economic and Socio-Environmental Criteria
技術的・経済的・社会環境的基準に基づく電力生成のための再生可能エネルギー源の最適計画 (AI 翻訳)
Rego RTB, Souza BAd
🤖 gxceed AI 要約
日本語
本論文は、風力と太陽光発電のハイブリッド発電所の立地と規模を同時に最適化するモデルを提案する。技術的、経済的、社会環境的基準を考慮し、実問題により近いモデル化を実現。差分進化メタヒューリスティックとMILPを組み合わせた解法を実事例に適用し、投資収益率の最適化を検証した。
English
This paper proposes a model that simultaneously optimizes the siting and sizing of hybrid wind-PV power plants, considering technical, economic, and socio-environmental criteria to create a more realistic problem representation. A Differential Evolution metaheuristic combined with MILP is applied to a real-world case study, validating the approach for optimal return on investment.
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
日本でも再生可能エネルギー導入拡大に伴い、系統接続コストや立地選定の最適化が重要。本手法は日本の電力会社や自治体が再生可能エネルギー計画を策定する際の参考となる可能性がある。
In the global GX context
Globally, as renewable energy deployment accelerates, optimized siting and sizing models like this help reduce costs and improve grid integration, supporting the energy transition. The methodology is applicable for utilities and project developers worldwide.
👥 読者別の含意
🔬研究者:This paper provides a novel integrated optimization framework combining metaheuristic and MILP for hybrid RES planning, useful for further methodological advancements.
🏢実務担当者:Energy planners and project developers can use this model to assess optimal locations and sizes for new renewable plants, balancing technical, economic, and social factors.
🏛政策担当者:Policymakers can leverage such models to design effective renewable energy incentives and grid connection policies.
📄 Abstract（原文）
By considering technical, economic, and socio-environmental criteria, in addition to the natural resources of each location, the assessment of wind and photovoltaic generation potential provides an opportunity for the conception, adaptation, and improvement of methods and models, preventing severe compromises to the realism of problem solutions regarding: i) the siting of a new hybrid energy generation power plant, and ii) the sizing of the power plant and its connection to the grid. The proposal is to integrate these problems into a model that preserves their nature, allowing them to be solved by distinct methods that are best suited to each. The sizing and connection problem is a mixed-integer optimization problem to be solved by MILP. A metaheuristic is applied to solve the siting subproblem and process the optimization as a whole. The Differential Evolution metaheuristic was tested to validate the model and applied to a real-world case study for prospecting renewable energy sources (RES) to be harnessed with an optimal return on investment. In practice, the proposal allows for a much more realistic model of the problem by considering, for example, the connection costs of the new power plants. The results found herein confirm the viability of the proposal.
🔗 Provenance — このレコードを発見したソース
- Research Square https://doi.org/10.20944/preprints202606.2137.v1first seen 2026-07-03 04:29:19 · last seen 2026-07-05 04:33:53
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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。