Open AccessAn Optimal Decision-Making Method for Power Market Transaction Based on Renewable Energy Multi-Scenario Forecast
Author(s) -
Jiarong Cai,
Weiwei Lai,
Zhenghao Qian,
Kang Huang,
Rui Zhou,
Zhisheng Huang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1754/1/012063
Subject(s) - renewable energy , database transaction , computer science , environmental economics , energy market , power market , adaptability , transaction cost , mathematical optimization , power (physics) , electric power system , operations research , microeconomics , economics , engineering , mathematics , physics , management , quantum mechanics , electrical engineering , programming language
In order to improve the adaptability of power market transaction to the uncertainty of renewable energy, the multi-scenario forecast model of renewable energy is studied and an optimal decision-making method for power market transaction based on renewable energy multi-scenario forecast is proposed. Multi-scenario forecast of renewable energy is a forecast result composed of multiple forecast curves, which is an uncertain forecast model in nature. The optimal power market transaction decision-making method takes the lowest expected cost and the lowest loss of renewable energy as the optimization objectives and comprehensively considers the constraints including power balance, power network transmission capacity and so on. Finally, a case study based on IEEE-30 buses system shows that this method can fully consider the impact of renewable energy uncertainty on trading results and has a significant effect on improving the efficiency of power market transaction results.