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/10.1088/1742-6596/1346/1/012029Additional details
Identifiers
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