Huang, Yuhcun, Yang, Jiajia, Wen, Fushuan, Wang, Chao, Zhang, Jing, and Xu, Qifeng (2013) Transmission System Planning Considering the Capability of Accommodating Intermittent Generation Sources. Dianli Xitong Zidonghua/Automation of Electric Power Systems, 37 (4). pp. 28-34.

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Abstract

The ever-increasing penetration of intermittent renewable generation in the power systems gives rise to a higher demand of more accommodating capability and more transmission capability. In the transmission system planning, a compromise must be appropriately made between maximizing the accommodating capability of renewable generation and making fully using of the transmission capacity. Under this background, a bi-level programming model is developed for transmission system planning with the capability of accommodating high penetration of intermittent renewable generation being considered. In the upper model, the economic objective is mainly addressed by minimizing the investment cost associated with transmission planning, while in the lower level the objective is to minimize the sum of the penalties for abandoning wind and for load shedding, and security constraints are checked for different scenarios considering the uncertainties associated with outputs of renewable generation, load fluctuations, and random outages of devices/components. Then, the well-established particle swarm optimization (PSO) algorithm and the commercially available ILOG CPLEX are employed to solve the upper-level and lower-level optimization problems, respectively. Finally, a modified Brazilian southern 46-bus system with three wind farms is used for demonstrating the essential features of the developed model and employed algorithm.

Item ID:	82463
Item Type:	Article (Research - C1)
ISSN:	1000-1026
Keywords:	Accommodating capability; Bi-level programming; Intermittent generation sources; Transmission system planning; Wind generation
Copyright Information:	© 2013 State Grid Electric Power Research Institute Press.
Date Deposited:	23 Dec 2024 23:52
FoR Codes:	40 ENGINEERING > 4008 Electrical engineering > 400805 Electrical energy transmission, networks and systems @ 100%
SEO Codes:	17 ENERGY > 1703 Energy storage, distribution and supply > 170309 Smart grids @ 100%
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