Open AccessResearch on case management technology of power market simulation
Author(s) -
Wang Gaoqin,
Ailin Chen,
LU Jian-hu,
Hong Zhang,
Yaxian Zheng
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/431/1/012027
Subject(s) - electricity market , process (computing) , spot market , computer science , order (exchange) , electricity , market analysis , electric power , supply and demand , grid , electric power industry , power grid , risk analysis (engineering) , operations research , power (physics) , business , microeconomics , economics , finance , engineering , marketing , electrical engineering , physics , geometry , mathematics , quantum mechanics , operating system
The construction of electric power spot market in China is gradually advancing. Since the operation of electric power spot market is affected by various factors such as grid structure, supply and demand situation and external environment, and is closely related to grid operation, it is difficult to predict through theoretical analysis and estimate the operational effect of the market, so before the formal operation of the power spot market, it is necessary to verify and analyze the operational process and operational effects of the market. In order to facilitate the recording of market operation process and result data under various simulation scenarios and to carry out data comparison and to analyze the causes and influencing factors of market operation effects, this paper proposes case management and case data comparison of the electricity market operation simulation. The case management is used to manage the process and result data of the market operation simulation, and support the data comparison and analysis of different simulation scenarios, it provides technical support to the verification analysis of the operation effect of the power market and the effective factors.