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Research on Operation Risk Prevention and Control Method of Multi-energy Complementary New Energy Power Generation System under Market Mechanism
Author(s) -
Mengxin Lan,
Ming Zhang,
Yanan Cao,
Shiming Tian,
Peng Wei,
Rui Song
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/677/3/032026
Subject(s) - risk analysis (engineering) , constructive , database transaction , risk assessment , energy (signal processing) , energy market , control (management) , computer science , analytic hierarchy process , electric power system , mechanism (biology) , risk management , process (computing) , electricity , reliability engineering , operations research , power (physics) , business , engineering , computer security , philosophy , mathematics , artificial intelligence , operating system , epistemology , quantum mechanics , programming language , statistics , physics , finance , electrical engineering
The development of multi-energy complementary new energy generation system is of great practical significance in today’s era when the demand for electricity is increasing and environmental protection is imminent. However, due to the limitation of external environment, internal technology and materials, the development of new energy system with multi-energy complementary energy is faced with many risks, which have a certain impact on its development. Risks cannot be avoided and will exist for a long time. Therefore, it is of great significance for the development of this system to correctly identify risks and evaluate them, and to propose corresponding countermeasures and focus according to the assessment results. This paper first analyzes and identifies qualitatively the risks faced by the new energy system under the market mechanism from the aspects of policy risk, transaction risk, market risk and operation risk. Then, the risk index database was established, and the risk of various aspects were presented side by side, and the main influencing factors of the risk were listed correspondingly. Next, risk assessment model is established through analytic hierarchy process and fuzzy comprehensive evaluation method, aiming to evaluate the above risks qualitatively. At the same time, a concrete example is introduced to apply and test the above model, and a constructive conclusion is obtained for the example, and the feasibility of the risk assessment model established in this paper is verified, which can be applied to risk assessment of other similar projects.

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