Open AccessDesign and evaluation of micro energy network considering P2G‐based storage system using two‐stage stochastic programming
Author(s) -
Liu WeiKang,
Wang Dan,
Liu Bo,
Yu XiaoDan,
Jia HongJie,
Wang WeiLiang,
Song Yunchao
Publication year - 2020
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/iet-rpg.2020.0161
Subject(s) - stochastic programming , computer science , mathematical optimization , energy storage , context (archaeology) , wind power , electricity , energy (signal processing) , network planning and design , engineering , mathematics , electrical engineering , paleontology , power (physics) , physics , quantum mechanics , biology , statistics , computer network
Due to the interaction between the planning and operation of micro energy network, considering the operation optimization can better play the role of micro energy network. But due to the influence of various uncertainties, the deterministic programming solution may be sub‐optimal. In this context, the two‐stage stochastic programming of micro energy network is of great significance. In this paper, from the perspective of electric energy, the closely related P2G, storage system and fuel cell are modeled as a whole, so that the model is simplified to a certain extent. Stochastic scenarios that considers multiple uncertain factors are constructed considering the correlation between electricity demand, wind speed and solar radiation intensity. And a two‐stage stochastic programming model of micro energy network is established. Through the case study, the influence of P2GSS on micro energy network planning under uncertainty environment as well as the difference between stochastic programming and deterministic programming of micro energy network is analyzed. The simulation results show that P2GSS can reduce the economic cost and CO 2 emission of micro energy network planning solution. Through the comparison of different planning schemes, it can provides a reference for the planning and construction of the micro‐energy network.