Published November 1, 2019 | Version v1
Journal article

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/685/1/012022

Additional details

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