Optimal generation schedule in micro-grids considering the possible damage by uncertainties of forecasts

Peng Zhang, Hirotaka Takano, Junichi Murata, Tatsuya Iizaka, Yosuke Nakanishi

Research output: Contribution to journalArticle

Abstract

The optimal generation schedule of controllable generators is necessary considering both the supply-demand balancing and the economy of generation. The conventional methods minimize the operation cost with a constraint to guarantee that the operating generators can readily change their outputs to meet the demand variation. Installation of nature-affected generations such as wind turbines and photovoltaic generation makes it harder for operating generators to compensate the variation, because their forecasts contain significant errors. In this research, the damage caused by possible supply-demand imbalance arising from the large uncertainties of forecasts is evaluated by penalty which represents the necessary additional cost to fix the imbalance. Due to the random nature of the forecast errors, the penalty is evaluated as an expectation. The optimal generation schedule is obtained by minimizing the summation of expectation of penalty and the operation cost. The simulation results indicate that the proposed method can achieve the generation schedule with less total cost than the conventional methods.

Original languageEnglish
Pages (from-to)75-83
Number of pages9
JournalResearch Reports on Information Science and Electrical Engineering of Kyushu University
Volume18
Issue number2
Publication statusPublished - 2013
Externally publishedYes

Fingerprint

Costs
Wind turbines
Uncertainty

Keywords

  • Adaptability
  • Micro-grid
  • Penalty
  • Uncertainty of forecast

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science(all)

Cite this

Optimal generation schedule in micro-grids considering the possible damage by uncertainties of forecasts. / Zhang, Peng; Takano, Hirotaka; Murata, Junichi; Iizaka, Tatsuya; Nakanishi, Yosuke.

In: Research Reports on Information Science and Electrical Engineering of Kyushu University, Vol. 18, No. 2, 2013, p. 75-83.

Research output: Contribution to journalArticle

@article{d31ec7837a0e495aa0ed5793f7aa5207,
title = "Optimal generation schedule in micro-grids considering the possible damage by uncertainties of forecasts",
abstract = "The optimal generation schedule of controllable generators is necessary considering both the supply-demand balancing and the economy of generation. The conventional methods minimize the operation cost with a constraint to guarantee that the operating generators can readily change their outputs to meet the demand variation. Installation of nature-affected generations such as wind turbines and photovoltaic generation makes it harder for operating generators to compensate the variation, because their forecasts contain significant errors. In this research, the damage caused by possible supply-demand imbalance arising from the large uncertainties of forecasts is evaluated by penalty which represents the necessary additional cost to fix the imbalance. Due to the random nature of the forecast errors, the penalty is evaluated as an expectation. The optimal generation schedule is obtained by minimizing the summation of expectation of penalty and the operation cost. The simulation results indicate that the proposed method can achieve the generation schedule with less total cost than the conventional methods.",
keywords = "Adaptability, Micro-grid, Penalty, Uncertainty of forecast",
author = "Peng Zhang and Hirotaka Takano and Junichi Murata and Tatsuya Iizaka and Yosuke Nakanishi",
year = "2013",
language = "English",
volume = "18",
pages = "75--83",
journal = "Research Reports on Information Science and Electrical Engineering of Kyushu University",
issn = "1342-3819",
publisher = "Kyushu University, Faculty of Science",
number = "2",

}

TY - JOUR

T1 - Optimal generation schedule in micro-grids considering the possible damage by uncertainties of forecasts

AU - Zhang, Peng

AU - Takano, Hirotaka

AU - Murata, Junichi

AU - Iizaka, Tatsuya

AU - Nakanishi, Yosuke

PY - 2013

Y1 - 2013

N2 - The optimal generation schedule of controllable generators is necessary considering both the supply-demand balancing and the economy of generation. The conventional methods minimize the operation cost with a constraint to guarantee that the operating generators can readily change their outputs to meet the demand variation. Installation of nature-affected generations such as wind turbines and photovoltaic generation makes it harder for operating generators to compensate the variation, because their forecasts contain significant errors. In this research, the damage caused by possible supply-demand imbalance arising from the large uncertainties of forecasts is evaluated by penalty which represents the necessary additional cost to fix the imbalance. Due to the random nature of the forecast errors, the penalty is evaluated as an expectation. The optimal generation schedule is obtained by minimizing the summation of expectation of penalty and the operation cost. The simulation results indicate that the proposed method can achieve the generation schedule with less total cost than the conventional methods.

AB - The optimal generation schedule of controllable generators is necessary considering both the supply-demand balancing and the economy of generation. The conventional methods minimize the operation cost with a constraint to guarantee that the operating generators can readily change their outputs to meet the demand variation. Installation of nature-affected generations such as wind turbines and photovoltaic generation makes it harder for operating generators to compensate the variation, because their forecasts contain significant errors. In this research, the damage caused by possible supply-demand imbalance arising from the large uncertainties of forecasts is evaluated by penalty which represents the necessary additional cost to fix the imbalance. Due to the random nature of the forecast errors, the penalty is evaluated as an expectation. The optimal generation schedule is obtained by minimizing the summation of expectation of penalty and the operation cost. The simulation results indicate that the proposed method can achieve the generation schedule with less total cost than the conventional methods.

KW - Adaptability

KW - Micro-grid

KW - Penalty

KW - Uncertainty of forecast

UR - http://www.scopus.com/inward/record.url?scp=84904579870&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84904579870&partnerID=8YFLogxK

M3 - Article

VL - 18

SP - 75

EP - 83

JO - Research Reports on Information Science and Electrical Engineering of Kyushu University

JF - Research Reports on Information Science and Electrical Engineering of Kyushu University

SN - 1342-3819

IS - 2

ER -