| 引用本文: | 梅生伟,刘锋.工程博弈论–工程优化决策中的博弈思想、原理及应用[J].控制理论与应用,2024,41(7):1159~1171.[点击复制] |
| MEI Sheng-wei,LIU Feng.Engineering game theory: Motivations, principles, and applications in engineering decision-making problems[J].Control Theory and Technology,2024,41(7):1159~1171.[点击复制] |
|
| 工程博弈论–工程优化决策中的博弈思想、原理及应用 |
| Engineering game theory: Motivations, principles, and applications in engineering decision-making problems |
| 摘要点击 118 全文点击 47 投稿时间：2023-10-31 修订日期：2024-06-07 |
| 查看全文 查看/发表评论 下载PDF阅读器 |
| DOI编号 DOI: 10.7641/CTA.2024.30709 |
| 2024,41(7):1159-1171 |
| 中文关键词 博弈论 工程博弈论 优化决策 能源–电力系统 |
| 英文关键词 game theory engineering game theory optimal decision-making power and energy systems |
| 基金项目 国家自然科学基金委员会–国家电网公司智能电网联合基金集成项目(U1966601)资助. |
|
| 中文摘要 |
| 实际工程优化决策问题中经常会面临多决策主体、多决策目标以及不确定性等复杂场景, 常规的优化决策方法有较大局限性. 受钱学森先生名著《工程控制论》的启发, 将工程决策问题中应用博弈论基本概念、建模方法、求解算法并考虑复杂工程技术条件进行决策的理论称为“工程博弈论”. 本文简要介绍了博弈论的基本理论, 并阐释了工程博弈论“以均衡协调冲突”的基本思想. 在此基础上分别介绍了不确定性决策问题的非合作工程博弈原理、多目标决策问题的合作工程博弈原理和多主体决策问题的演化工程博弈原理及其在能源电力系统中的部分典型工程应用. 本文希望通过对相关进展的介绍可以吸引更多的研究者进入这一领域, 共同完善工程博弈论的相关基础理论和方法, 使之在更多的领域中得到更广泛的应用. |
| 英文摘要 |
| In the face of complex engineering problems with multiple decision-makers, multiple objectives, and uncertainties, traditional optimal decision-making methodologies often struggle to deliver satisfactory results. In this regard, we propose “Engineering Game Theory” as a new solution methodology, inspired by Hsue-Shen TSIEN’s famous book “Engineering Cybernetics”. This innovative decision-making theory applies game-theoretic concepts, modeling methods, and analytics to address large-scale engineering decision-making problems with complicated technical requirements in practice. This paper explains the concept of “coordinating conflicts through equilibrium strategies” and introduces three fundamental principles of engineering game theory, including: 1) the non-cooperative game-theoretic principle for uncertain engineering decision-making and control problems; 2) the cooperative game-theoretic principle for multi-objective engineering decision-making problems; and 3) the evolutionary game-theoretic principle for multi-stakeholder planning problems. Typical applications in power and energy industries are also provided. We expect this paper could attract more and more researchers to participate and contribute to perfecting the fundamental theories and methodologies in this promising direction and further promote the applications of engineering game theory in a broader range of engineering fields. |
|
|
|
|
|