A Transmission System Planning Method Considering Demand-side Response and Capability for Accommodating Wind Power
- 1. Chengdu Chengdian Electric Power Engineering Design Co. Ltd. Chengdu (China)
- 2. Economic Research Institute of State Grid Zhejiang Electric Power Co. Ltd. Hangzhou (China)
- 3. Economic Research Institute of State Grid Sichuan Electric Power Co. Ltd. Chengdu (China)
Description
The large-scale development of grid-connected wind power, which is intermittent, random and uncontrollable, has introduced great challenges to power system planning and operation. Power system planning should fully consider the capability for accommodating wind power, as well as system's regulation capability and spare capacity. Given this background, a bi-level transmission system planning model for this purpose is proposed in this paper. In the proposed model, demand-side response resources, such as incentive load and interruptible load, are used for peak-load shifting so as to optimize power flow distribution, reduce transmission investment and improve the utilizaiton level of wind power. The two levels are implemented interactively and iteratively, and finally converge to an optimized planning scheme considering both security and economy. The essential features of the developed model and adopted algorithms are demonstrated by a modified 18-bus test system. (paper)
Availability note (English)
Available from http://dx.doi.org/10.1088/1757-899X/685/1/012022Additional details
Identifiers
Publishing Information
- Journal Title
- IOP Conference Series. Materials Science and Engineering (Online)
- Journal Volume
- 685
- Journal Issue
- 1
- Journal Page Range
- [6 p.]
- ISSN
- 1757-899X
Conference
- Title
- 3. International Conference on Aerospace Technology, Communications and Energy Systems
- Acronym
- ATCES 2019
- Dates
- 26-29 Sep 2019
- Place
- Nanjing (China)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 54077291
- Subject category
- S17: WIND ENERGY; S42: ENGINEERING;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- ALGORITHMS; CAPACITY; ITERATIVE METHODS; PEAK LOAD; POWER SYSTEMS; WIND POWER
- Descriptors DEC
- CALCULATION METHODS; ENERGY SOURCES; ENERGY SYSTEMS; MATHEMATICAL LOGIC; POWER; RENEWABLE ENERGY SOURCES