A daily operation arrangement and peak load regulation algorithm based on multi-state renewable energy simulation

Wentao Zhang; Xiuli Wang; Yue Zhang; Zechen Wu; Furui Hou

doi:10.1109/DRPT.2015.7432681

A daily operation arrangement and peak load regulation algorithm based on multi-state renewable energy simulation

Wentao Zhang
, Xiuli Wang
, Yue Zhang
, Zechen Wu
, Furui Hou

School of Electrical Engineering

Xi'an Jiaotong University

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

1 Scopus citations

Abstract

Large-scale integration of wind power makes the peak load regulation become more and more serious. As a result, the analysis of daily operation manner plays an important role in determining the power architecture. Based on traditional generation expansion planning method focusing on economic and reliability indices, this paper proposes a daily operation arrangement and peak load regulation algorithm, which is established on the basis of multi-state renewable energy simulation, and is used to test the running feasibility of the power generation planning result. The algorithm proposes a sequential multi-state wind generation model established on a Markov process with state transition matrices and initial distribution based on historical data. Also, the algorithm proposes an efficient multi-state energy function forming method based on equivalent energy function method to analyze the power and energy balance and peak load regulation of the system using a deterministic production simulation. So the algorithm can ensure the economy, reliability and feasibility of the power generation planning. Test system was used to verify the rationality and feasibility of the proposed models and algorithm and the results of this paper may provide some suggestions for the generation planning.

Original language	English
Title of host publication	Proceedings of the 5th IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies, DRPT 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2571-2575
Number of pages	5
ISBN (Electronic)	9781467371063
DOIs	https://doi.org/10.1109/DRPT.2015.7432681
State	Published - 11 Mar 2016
Event	5th IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies, DRPT 2015 - Changsha, China Duration: 26 Nov 2015 → 29 Nov 2015

Publication series

Name	Proceedings of the 5th IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies, DRPT 2015

Conference

Conference	5th IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies, DRPT 2015
Country/Territory	China
City	Changsha
Period	26/11/15 → 29/11/15

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Markov process
Peak load regulation
Power and energy balance
Power generation planning
Production simulatio-n
Wind power

Access to Document

10.1109/DRPT.2015.7432681

Cite this

Zhang, W., Wang, X., Zhang, Y., Wu, Z., & Hou, F. (2016). A daily operation arrangement and peak load regulation algorithm based on multi-state renewable energy simulation. In Proceedings of the 5th IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies, DRPT 2015 (pp. 2571-2575). Article 7432681 (Proceedings of the 5th IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies, DRPT 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DRPT.2015.7432681

Zhang, Wentao ; Wang, Xiuli ; Zhang, Yue et al. / A daily operation arrangement and peak load regulation algorithm based on multi-state renewable energy simulation. Proceedings of the 5th IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies, DRPT 2015. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 2571-2575 (Proceedings of the 5th IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies, DRPT 2015).

@inproceedings{7688992d0a0f44e382786f3a893f5992,

title = "A daily operation arrangement and peak load regulation algorithm based on multi-state renewable energy simulation",

abstract = "Large-scale integration of wind power makes the peak load regulation become more and more serious. As a result, the analysis of daily operation manner plays an important role in determining the power architecture. Based on traditional generation expansion planning method focusing on economic and reliability indices, this paper proposes a daily operation arrangement and peak load regulation algorithm, which is established on the basis of multi-state renewable energy simulation, and is used to test the running feasibility of the power generation planning result. The algorithm proposes a sequential multi-state wind generation model established on a Markov process with state transition matrices and initial distribution based on historical data. Also, the algorithm proposes an efficient multi-state energy function forming method based on equivalent energy function method to analyze the power and energy balance and peak load regulation of the system using a deterministic production simulation. So the algorithm can ensure the economy, reliability and feasibility of the power generation planning. Test system was used to verify the rationality and feasibility of the proposed models and algorithm and the results of this paper may provide some suggestions for the generation planning.",

keywords = "Markov process, Peak load regulation, Power and energy balance, Power generation planning, Production simulatio-n, Wind power",

author = "Wentao Zhang and Xiuli Wang and Yue Zhang and Zechen Wu and Furui Hou",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 5th IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies, DRPT 2015 ; Conference date: 26-11-2015 Through 29-11-2015",

year = "2016",

month = mar,

day = "11",

doi = "10.1109/DRPT.2015.7432681",

language = "英语",

series = "Proceedings of the 5th IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies, DRPT 2015",

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Zhang, W, Wang, X, Zhang, Y, Wu, Z & Hou, F 2016, A daily operation arrangement and peak load regulation algorithm based on multi-state renewable energy simulation. in Proceedings of the 5th IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies, DRPT 2015., 7432681, Proceedings of the 5th IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies, DRPT 2015, Institute of Electrical and Electronics Engineers Inc., pp. 2571-2575, 5th IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies, DRPT 2015, Changsha, China, 26/11/15. https://doi.org/10.1109/DRPT.2015.7432681

A daily operation arrangement and peak load regulation algorithm based on multi-state renewable energy simulation. / Zhang, Wentao; Wang, Xiuli; Zhang, Yue et al.
Proceedings of the 5th IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies, DRPT 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 2571-2575 7432681 (Proceedings of the 5th IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies, DRPT 2015).

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

TY - GEN

T1 - A daily operation arrangement and peak load regulation algorithm based on multi-state renewable energy simulation

AU - Zhang, Wentao

AU - Wang, Xiuli

AU - Zhang, Yue

AU - Wu, Zechen

AU - Hou, Furui

PY - 2016/3/11

Y1 - 2016/3/11

N2 - Large-scale integration of wind power makes the peak load regulation become more and more serious. As a result, the analysis of daily operation manner plays an important role in determining the power architecture. Based on traditional generation expansion planning method focusing on economic and reliability indices, this paper proposes a daily operation arrangement and peak load regulation algorithm, which is established on the basis of multi-state renewable energy simulation, and is used to test the running feasibility of the power generation planning result. The algorithm proposes a sequential multi-state wind generation model established on a Markov process with state transition matrices and initial distribution based on historical data. Also, the algorithm proposes an efficient multi-state energy function forming method based on equivalent energy function method to analyze the power and energy balance and peak load regulation of the system using a deterministic production simulation. So the algorithm can ensure the economy, reliability and feasibility of the power generation planning. Test system was used to verify the rationality and feasibility of the proposed models and algorithm and the results of this paper may provide some suggestions for the generation planning.

AB - Large-scale integration of wind power makes the peak load regulation become more and more serious. As a result, the analysis of daily operation manner plays an important role in determining the power architecture. Based on traditional generation expansion planning method focusing on economic and reliability indices, this paper proposes a daily operation arrangement and peak load regulation algorithm, which is established on the basis of multi-state renewable energy simulation, and is used to test the running feasibility of the power generation planning result. The algorithm proposes a sequential multi-state wind generation model established on a Markov process with state transition matrices and initial distribution based on historical data. Also, the algorithm proposes an efficient multi-state energy function forming method based on equivalent energy function method to analyze the power and energy balance and peak load regulation of the system using a deterministic production simulation. So the algorithm can ensure the economy, reliability and feasibility of the power generation planning. Test system was used to verify the rationality and feasibility of the proposed models and algorithm and the results of this paper may provide some suggestions for the generation planning.

KW - Markov process

KW - Peak load regulation

KW - Power and energy balance

KW - Power generation planning

KW - Production simulatio-n

KW - Wind power

UR - https://www.scopus.com/pages/publications/84968719112

U2 - 10.1109/DRPT.2015.7432681

DO - 10.1109/DRPT.2015.7432681

M3 - 会议稿件

AN - SCOPUS:84968719112

T3 - Proceedings of the 5th IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies, DRPT 2015

SP - 2571

EP - 2575

BT - Proceedings of the 5th IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies, DRPT 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 5th IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies, DRPT 2015

Y2 - 26 November 2015 through 29 November 2015

ER -

Zhang W, Wang X, Zhang Y, Wu Z, Hou F. A daily operation arrangement and peak load regulation algorithm based on multi-state renewable energy simulation. In Proceedings of the 5th IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies, DRPT 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 2571-2575. 7432681. (Proceedings of the 5th IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies, DRPT 2015). doi: 10.1109/DRPT.2015.7432681

A daily operation arrangement and peak load regulation algorithm based on multi-state renewable energy simulation

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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