Day-ahead distributed energy resource scheduling using differential search algorithm

J. Soares; C. Lobo; M. Silva; Z. Vale; Hugo Morais

doi:10.1109/ISAP.2015.7325567

Day-ahead distributed energy resource scheduling using differential search algorithm

J. Soares
, C. Lobo
, M. Silva
, Z. Vale
, Hugo Morais

Polytechnic Institute of Porto

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

The number of dispersed energy resources is growing every day, such as the use of more distributed generators. This paper deals with energy resource scheduling model in future smart grids. The methodology can be used by virtual power players (VPPs) considering day-ahead time horizon. This method considers that energy resources are managed by a VPP which establishes contracts with their owners. The full AC power flow calculation included in the model takes into account network constraints. This paper presents an application of differential search algorithm (DSA) for solving the day-ahead scheduling. DSA method is used to minimize the operation costs for the VPP providing in satisfactory execution time. Two scenarios are presented using a 33-bus distribution network, large wind farm and several distributed energy resources to illustrate the proposed methodology. These scenarios consider a contingency on the large wind farm and different forecasts regarding load demand.

Original language	English
Title of host publication	Proceedings of 18th International Conference on Intelligent System Application to Power Systems
Publisher	IEEE
Publication date	2015
Pages	1-6
ISBN (Print)	9781509001910
DOIs	https://doi.org/10.1109/ISAP.2015.7325567
Publication status	Published - 2015
Event	18th International Conference on Intelligent System Application to Power Systems - Porto, Portugal Duration: 11 Sept 2015 → 16 Sept 2015 Conference number: 18 http://isap2015.inesctec.eu/

Conference

Conference	18th International Conference on Intelligent System Application to Power Systems
Number	18
Country/Territory	Portugal
City	Porto
Period	11/09/2015 → 16/09/2015
Internet address	http://isap2015.inesctec.eu/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Computing and Processing
Power, Energy and Industry Applications
differential search algorithm
distributed energy resources
energy resource management
Generators
Load management
Optimization
Power generation
Scheduling
smart grid
virtual power player
Wind farms

Access to Document

10.1109/ISAP.2015.7325567

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Full text

Cite this

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title = "Day-ahead distributed energy resource scheduling using differential search algorithm",

abstract = "The number of dispersed energy resources is growing every day, such as the use of more distributed generators. This paper deals with energy resource scheduling model in future smart grids. The methodology can be used by virtual power players (VPPs) considering day-ahead time horizon. This method considers that energy resources are managed by a VPP which establishes contracts with their owners. The full AC power flow calculation included in the model takes into account network constraints. This paper presents an application of differential search algorithm (DSA) for solving the day-ahead scheduling. DSA method is used to minimize the operation costs for the VPP providing in satisfactory execution time. Two scenarios are presented using a 33-bus distribution network, large wind farm and several distributed energy resources to illustrate the proposed methodology. These scenarios consider a contingency on the large wind farm and different forecasts regarding load demand.",

keywords = "Computing and Processing, Power, Energy and Industry Applications, differential search algorithm, distributed energy resources, energy resource management, Generators, Load management, Optimization, Power generation, Scheduling, smart grid, virtual power player, Wind farms",

author = "J. Soares and C. Lobo and M. Silva and Z. Vale and Hugo Morais",

year = "2015",

doi = "10.1109/ISAP.2015.7325567",

language = "English",

isbn = "9781509001910",

pages = "1--6",

booktitle = "Proceedings of 18th International Conference on Intelligent System Application to Power Systems",

publisher = "IEEE",

address = "United States",

note = "18th International Conference on Intelligent System Application to Power Systems, ISAP 2015 ; Conference date: 11-09-2015 Through 16-09-2015",

url = "http://isap2015.inesctec.eu/",

}

Soares, J, Lobo, C, Silva, M, Vale, Z & Morais, H 2015, Day-ahead distributed energy resource scheduling using differential search algorithm. in Proceedings of 18th International Conference on Intelligent System Application to Power Systems . IEEE, pp. 1-6, 18th International Conference on Intelligent System Application to Power Systems, Porto, Portugal, 11/09/2015. https://doi.org/10.1109/ISAP.2015.7325567

TY - GEN

T1 - Day-ahead distributed energy resource scheduling using differential search algorithm

AU - Soares, J.

AU - Lobo, C.

AU - Silva, M.

AU - Vale, Z.

AU - Morais, Hugo

N1 - Conference code: 18

PY - 2015

Y1 - 2015

N2 - The number of dispersed energy resources is growing every day, such as the use of more distributed generators. This paper deals with energy resource scheduling model in future smart grids. The methodology can be used by virtual power players (VPPs) considering day-ahead time horizon. This method considers that energy resources are managed by a VPP which establishes contracts with their owners. The full AC power flow calculation included in the model takes into account network constraints. This paper presents an application of differential search algorithm (DSA) for solving the day-ahead scheduling. DSA method is used to minimize the operation costs for the VPP providing in satisfactory execution time. Two scenarios are presented using a 33-bus distribution network, large wind farm and several distributed energy resources to illustrate the proposed methodology. These scenarios consider a contingency on the large wind farm and different forecasts regarding load demand.

AB - The number of dispersed energy resources is growing every day, such as the use of more distributed generators. This paper deals with energy resource scheduling model in future smart grids. The methodology can be used by virtual power players (VPPs) considering day-ahead time horizon. This method considers that energy resources are managed by a VPP which establishes contracts with their owners. The full AC power flow calculation included in the model takes into account network constraints. This paper presents an application of differential search algorithm (DSA) for solving the day-ahead scheduling. DSA method is used to minimize the operation costs for the VPP providing in satisfactory execution time. Two scenarios are presented using a 33-bus distribution network, large wind farm and several distributed energy resources to illustrate the proposed methodology. These scenarios consider a contingency on the large wind farm and different forecasts regarding load demand.

KW - Computing and Processing

KW - Power, Energy and Industry Applications

KW - differential search algorithm

KW - distributed energy resources

KW - energy resource management

KW - Generators

KW - Load management

KW - Optimization

KW - Power generation

KW - Scheduling

KW - smart grid

KW - virtual power player

KW - Wind farms

U2 - 10.1109/ISAP.2015.7325567

DO - 10.1109/ISAP.2015.7325567

M3 - Article in proceedings

SN - 9781509001910

SP - 1

EP - 6

BT - Proceedings of 18th International Conference on Intelligent System Application to Power Systems

PB - IEEE

T2 - 18th International Conference on Intelligent System Application to Power Systems

Y2 - 11 September 2015 through 16 September 2015

ER -

Day-ahead distributed energy resource scheduling using differential search algorithm

Abstract

Conference

UN SDGs

Keywords

Access to Document

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Cite this