Dispatchable wind power generation planning for distribution systems

Nand K. Meena; Anil Swarnkar; Nikhil Gupta; K. R. Niazi

doi:10.1109/ICPES.2017.8387342

Dispatchable wind power generation planning for distribution systems

Nand K. Meena, Anil Swarnkar, Nikhil Gupta, K. R. Niazi

College of Engineering and Physical Sciences

Research output: Chapter in Book/Published conference output › Conference publication

Abstract

In this paper, a set of new planning strategies are proposed to optimally accommodate aggregated capacity of wind farms with special switching arrangements to make these dis-patchable. The goal is to mitigate the issues of intense renewable power penetration on distribution systems such as wind power curtailment, reverse power flow problem, high voltage problem etc. The proposed model is investigated on a standard 33-bus radial distribution system and genetic algorithm is used to solve it. The simulation results of proposed model are compared with the same obtained by conventional planning models, which shows that the proposed approach is promising.

Original language	English
Title of host publication	2017 7th International Conference on Power Systems, ICPS 2017
Publisher	IEEE
Pages	491-496
Number of pages	6
ISBN (Electronic)	9781538617892
DOIs	https://doi.org/10.1109/ICPES.2017.8387342
Publication status	Published - 15 Jun 2018
Event	7th International Conference on Power Systems, ICPS 2017 - Pune, India Duration: 21 Dec 2017 → 23 Dec 2017

Conference

Conference	7th International Conference on Power Systems, ICPS 2017
Country/Territory	India
City	Pune
Period	21/12/17 → 23/12/17

Keywords

Distributed generation
distribution systems
genetic algorithm
mixed-integer
wind power

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10.1109/ICPES.2017.8387342

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@inproceedings{cb532fed54084e6195f7600a9e753579,

title = "Dispatchable wind power generation planning for distribution systems",

abstract = "In this paper, a set of new planning strategies are proposed to optimally accommodate aggregated capacity of wind farms with special switching arrangements to make these dis-patchable. The goal is to mitigate the issues of intense renewable power penetration on distribution systems such as wind power curtailment, reverse power flow problem, high voltage problem etc. The proposed model is investigated on a standard 33-bus radial distribution system and genetic algorithm is used to solve it. The simulation results of proposed model are compared with the same obtained by conventional planning models, which shows that the proposed approach is promising.",

keywords = "Distributed generation, distribution systems, genetic algorithm, mixed-integer, wind power",

author = "Meena, {Nand K.} and Anil Swarnkar and Nikhil Gupta and Niazi, {K. R.}",

year = "2018",

month = jun,

day = "15",

doi = "10.1109/ICPES.2017.8387342",

language = "English",

pages = "491--496",

booktitle = "2017 7th International Conference on Power Systems, ICPS 2017",

publisher = "IEEE",

address = "United States",

note = "7th International Conference on Power Systems, ICPS 2017 ; Conference date: 21-12-2017 Through 23-12-2017",

}

TY - GEN

T1 - Dispatchable wind power generation planning for distribution systems

AU - Meena, Nand K.

AU - Swarnkar, Anil

AU - Gupta, Nikhil

AU - Niazi, K. R.

PY - 2018/6/15

Y1 - 2018/6/15

N2 - In this paper, a set of new planning strategies are proposed to optimally accommodate aggregated capacity of wind farms with special switching arrangements to make these dis-patchable. The goal is to mitigate the issues of intense renewable power penetration on distribution systems such as wind power curtailment, reverse power flow problem, high voltage problem etc. The proposed model is investigated on a standard 33-bus radial distribution system and genetic algorithm is used to solve it. The simulation results of proposed model are compared with the same obtained by conventional planning models, which shows that the proposed approach is promising.

AB - In this paper, a set of new planning strategies are proposed to optimally accommodate aggregated capacity of wind farms with special switching arrangements to make these dis-patchable. The goal is to mitigate the issues of intense renewable power penetration on distribution systems such as wind power curtailment, reverse power flow problem, high voltage problem etc. The proposed model is investigated on a standard 33-bus radial distribution system and genetic algorithm is used to solve it. The simulation results of proposed model are compared with the same obtained by conventional planning models, which shows that the proposed approach is promising.

KW - Distributed generation

KW - distribution systems

KW - genetic algorithm

KW - mixed-integer

KW - wind power

UR - http://www.scopus.com/inward/record.url?scp=85049890702&partnerID=8YFLogxK

UR - https://ieeexplore.ieee.org/document/8387342

U2 - 10.1109/ICPES.2017.8387342

DO - 10.1109/ICPES.2017.8387342

M3 - Conference publication

AN - SCOPUS:85049890702

SP - 491

EP - 496

BT - 2017 7th International Conference on Power Systems, ICPS 2017

PB - IEEE

T2 - 7th International Conference on Power Systems, ICPS 2017

Y2 - 21 December 2017 through 23 December 2017

ER -

Dispatchable wind power generation planning for distribution systems

Abstract

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