Published November 1, 2019 | Version v1
Journal article

Two-stage Planning of Integrated Energy System Considering Investment Flexibility

  • 1. School of Electrical Engineering, Southeast University, Nanjing (China)
  • 2. Zhejiang Electric Power Corporation, State Grid Corporation of China (China)

Description

The Integrated Energy System (IES) can optimize the utilization of various forms of energy and effectively alleviate the problems of energy exhaustion and environmental pollution. A two-stage planning model of IES that considers the uncertainty of renewable energy and the flexibility of investment is proposed in this paper. The planning period is divided into two stages in terms of varying degrees of uncertainty based on Monte Carlo simulation. In terms of economic, technical, and environmental performance, the two-stage planning method is proved to be better than conventional single planning method. The proposed algorithm shows the superiority of multi-stage planning. In addition, it can be used for the planners to comprehensively analyze and compare the optimal decision-making schemes generated by different combinations of weight factors. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1742-6596/1346/1/012029

Additional details

Publishing Information

Journal Title
Journal of Physics. Conference Series (Online)
Journal Volume
1346
Journal Issue
1
Journal Page Range
[10 p.]
ISSN
1742-6596

Conference

Title
Joint International Conference on Ubiquitous Power Internet of Things; SGESG 2019: 3. International Symposium on Green Energy and Smart Grid
Acronym
UPIOT 2019
Dates
21-23 Aug 2019
Place
Chongqing (China)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53052519
Subject category
S42: ENGINEERING;
Resource subtype / Literary indicator
Conference
Descriptors DEI
ALGORITHMS; COMPUTERIZED SIMULATION; ENERGY SYSTEMS; FLEXIBILITY; MONTE CARLO METHOD; PERFORMANCE; RENEWABLE ENERGY SOURCES
Descriptors DEC
CALCULATION METHODS; ENERGY SOURCES; MATHEMATICAL LOGIC; MECHANICAL PROPERTIES; SIMULATION; TENSILE PROPERTIES