运筹与管理 ›› 2025, Vol. 34 ›› Issue (1): 120-125.DOI: 10.12005/orms.2025.0018

• 理论分析与方法探讨 • 上一篇    下一篇

基于多目标优化的我国风电企业国际化发展风险管理研究

杨艳艳1,2, 杨红娟1, 李加莲3, 杨金龙4   

  1. 1.昆明理工大学 管理与经济学院,云南 昆明 650093;
    2.昆明理工大学 财务处,云南 昆明 650093;
    3.中国科学院 科技战略咨询研究院,北京 100190;
    4.金风科技股份有限公司,北京 100176
  • 收稿日期:2023-11-21 出版日期:2025-01-25 发布日期:2025-05-16
  • 通讯作者: 李加莲(1982-),女,黑龙江佳木斯人,博士,助理研究员,研究方向:风险管理,应急管理,数据安全。Email: lijialian@casisd.cn。
  • 作者简介:杨艳艳(1986-),女,山西运城人,硕士,研究方向:区域经济,低碳经济发展。
  • 基金资助:
    “一带一路”国际科学组织联盟战略咨询项目(ANSO-SBA-2021-01)

Research on Risk Management of International Development of Wind Power Enterprises in China Based on Multi-objective Optimization

YANG Yanyan1,2, YANG Hongjuan1, LI Jialian3, YANG Jinlong4   

  1. 1. School of Management and Economics, Kunming University of Science and Technology, Kunming 650093, China;
    2. Finance Department, Kunming University of Science and Technology, Kunming 650093, China;
    3. Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China;
    4. Goldwind Science & Technology CO., LTD., Beijing 100176, China
  • Received:2023-11-21 Online:2025-01-25 Published:2025-05-16

摘要: 风电企业国际化发展是实现企业成长发展和获取可持续竞争优势的战略举措之一,对我国实现“碳达峰”与“碳中和”的重大战略需求、经济转型升级具有重要意义。本文分析了风电企业国际化过程中涉及的风险因素对企业国际化发展的绩效和竞争力的影响,为优化企业风险因素改进策略,构建了考虑风险管理成本总量约束、基于多目标优化的我国风电企业国际化发展的风险管理模型,该优化模型已知条件为各风险因素的风险水平、改进成本及其对企业竞争力和国际化绩效的影响程度,决策目标主要包括最小化企业风险、最大化企业竞争力、最大化企业国际化绩效,运用三种算法进行求解,并以国内某风电企业为例,通过与我国某风电企业管理者、相关专家研讨,构造算例验证模型的有效性。本研究为综合考量风电企业国际化过程中的绩效、竞争力和风险防范提供了方法支撑,提出了我国风电企业国际化发展中风险管理改进策略。

关键词: 多目标优化, 风电企业, 国际化发展, 风险管理

Abstract: The international development of wind power enterprises in China is one of the strategic measures to achieve enterprise growth and sustainable competitive advantage. It is of great significance for China’s major strategic needs and economic transformation and upgrading to achieve “carbon peak” and “carbon neutrality”. The issue of risk management in the national development of wind power enterprises has become an increasingly urgent practical issue. However, research on the international risk of wind power enterprises mostly focuses on qualitative research, lacks a comprehensive and systematic study of risk factors, and there is a serious lack of quantitative and empirical research on risk. The practical guidance significance for risk management and control in the cross-border operation of China’s wind power industry is limited.
This article first systematically sorts out 12 risk factors involved in the international process of wind power enterprises from three dimensions: environmental risk, inherent risk, and control risk, based on risk sources. These factors mainly include political relations, national economic level, wind power technology development, social stability, wind power market, wind power assets, human resources, financial resources, international management, technological innovation, marketing, and strategic management. The impact of these risk factors on the international competitiveness and performance level of enterprise international development is analyzed.
Secondly, the risk management problem of international development of Chinese wind power enterprises is abstracted as a multi-objective optimization problem. The known conditions are the risk level of each risk factor, the cost of improvement, and the degree of its impact on the competitiveness and international performance of the enterprise. The decision-making objectives mainly include minimizing enterprise risks, maximizing enterprise competitiveness, and maximizing enterprise international performance. The constraint is that the improvement cost of all risk factors does not exceed the upper limit of the enterprise budget, and some risk factors may have to choose to accept and respond to risks due to huge costs, such as local political risks or external disruptive technological risks. The key assumptions are that the international development performance of wind power enterprises is affected by the improvement of risk factors, the expected output of wind power enterprises is inversely proportional to the level of risk, and the competitiveness of wind power enterprises is affected by the improvement of risk factors.
Thirdly, constructing a risk management strategy model for the international development of wind power enterprises in China. This model is a typical multi-objective 0-1 integer programming model, which uses the weighting method to linearly combine the three objectives into a single objective. Essentially, it transforms the multi-objective problem into a single objective optimization problem to solve. Using three algorithms, namely enumeration method, greedy algorithm, and dynamic programming algorithm, to solve and conduct comparative analysis.
Finally, taking a domestic wind power enterprise as an example, a numerical example is constructed to verify the effectiveness of the model. Based on a comprehensive consideration of the impact of various risk factors on the international performance and competitiveness of the enterprise, domestic wind power enterprise managers and experts in the international business field of wind power enterprises are introduced to quantitatively score the importance of risk factors and the cost of improvement, and the scores are uniformly dimensionless processed, 7 different value combinations for the weights of the three decision objectives are set, and the obtained data are substituted into the optimization model for solution. The calculation results indicate that, considering the risks, competitiveness, performance, social stability, marketing, and strategic management in the international process of wind power enterprises, all three risk factors should be improved. The political relationship situation should not be improved, and preparations for risk response should be made. Other risk factors need to be determined based on different decision-making preferences to determine whether to improve.
This study provides methodological support for comprehensively considering the performance, competitiveness, and risk prevention of wind power enterprises in the international process, and proposes risk management improvement strategies for the international development of wind power enterprises in China. It can further track the actual application effect and adjust the model and algorithm accordingly, making the established optimization model more and more realistic.

Key words: multi-objective optimization, wind power enterprises, international development, risk management

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