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비협조적 게임이론을 활용한 신재생발전사업 갈등 사례분석

Case Analysis of Conflicts in Renewable Power Generation Projects Using Non-cooperative Game Theory

  • 박재현 (원광대학교 건설환경공학과) ;
  • 김경국 (원광대학교 건설환경공학과) ;
  • 김경석 (원광대학교 건설환경공학과)
  • 투고 : 2023.11.30
  • 심사 : 2024.01.25
  • 발행 : 2024.04.01

초록

정부는 신재생에너지 정책을 통해 신재생에너지 시설확대를 독려하고 있다. 그러나 신재생에너지 발전시설 설치로 인해 발생하는 경관훼손, 전자파발생, 부동산 가치하락, 환경오염 등의 사유로 인해 지역주민들의 민원이 발생한다. 이는 발전사업자와 주민들 사이에서 갈등을 만들며, 사업 진행을 어렵게 만든다. 본 연구는 비협조적 게임이론을 적용하여, 주민참여를 통해 발전사업자와 주민들의 갈등을 해결한 신재생에너지 발전 사업 8가지 사례를 분석하고자 한다. 인근 이해당사자인 지역주민들의 투자를 받아, 주민들은 최대 25 %에서 최소 4.1 %의 수익률을 얻었다. 주민들은 발전사업 추진에 동의하고, 발전사업자는 수익의 일부를 주민들과 공유하는 것이 게임이론 분석을 통해 모두에게 우월전략임을 확인했다. 우월 전략이 만나는 지점은 내쉬균형을 형성하며, 동시에 파레토최적점이 되어 발전사업자와 주민 모두에게 이익이 된다는 분석결과를 도출하였다.

The government is encouraging the expansion of renewable energy facilities through national renewable energy policy. However, the installation of renewable energy generation facilities has led to local resident complaints due to landscape degradation, electromagnetic wave emission, real estate devaluation, and environmental pollution. This creates conflicts between power project developers and residents, making the progress of projects more difficult. This study applies non-cooperative game theory to analyze eight cases of renewable energy projects where conflicts between developers and residents were resolved through resident's investment participation. By accepting investments from local stakeholders, residents achieved returns ranging from a maximum of 25 % to a minimum of 4.1 %. It was found through game theory analysis that a dominant strategy involves residents agreeing to the development of the project and the developers sharing a portion of the profits with the residents. The analysis results show that the point where dominant strategy meet forms a Nash equilibrium, and at the same time becomes the Pareto optimal point, benefiting both power generation operators and residents.

키워드

과제정보

This research was conducted with the support of the National Research Foundation of Korea (NRF-2019R1C1C1010332). This paper has been written by modifying and supplementing the KSCE 2023 CONVENTION paper.

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