Optimized Dispatch of Regional Integrated Energy System Considering Wind Power Consumption in Low-Temperature Environment

The wind abandonment phenomenon of cogeneration units in regional integrated energy systems (RIES) under the operation mode of “heat for electricity” and the improvement in the operation efficiency of the energy storage system under a low-temperature environment are problems that need to be solved u...

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Main Authors: Liangkai Li, Jingguang Huang, Zhenxing Li, Hao Qi
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/16/23/7791
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author Liangkai Li
Jingguang Huang
Zhenxing Li
Hao Qi
author_facet Liangkai Li
Jingguang Huang
Zhenxing Li
Hao Qi
author_sort Liangkai Li
collection DOAJ
description The wind abandonment phenomenon of cogeneration units in regional integrated energy systems (RIES) under the operation mode of “heat for electricity” and the improvement in the operation efficiency of the energy storage system under a low-temperature environment are problems that need to be solved urgently. To this end, a regional integrated energy system optimization scheduling method based on fine energy storage and wind power consumption is proposed in the paper. First, a fine energy storage model more adapted to a low-temperature environment is established on the power side to accurately simulate the actual working state of the energy storage components and quantify the uncertainty of the wind power output using the conditional value-at-risk (CVaR) theory. Then, a combined heat and power demand response mechanism is introduced on the load side to reduce the peak-to-valley difference in the heat and power loads, it is realized to promote the system’s consumption of wind power without increasing the transmission power of the contact line. Finally, the example is solved on the MATLAB platform with the objective of minimizing the total cost of the RIES optimal dispatch. The simulation results show that the proposed model is not only more adaptable to a low-temperature environment compared with the traditional model but also reduces the overall cost of the system by 2.58% while realizing the complete consumption of wind power. This innovative study provides a feasible and efficient solution to improve the performance of integrated energy systems, especially the operation capability in extreme environments.
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spelling doaj.art-147000503efb4864b2b3058a6e7b21112023-12-08T15:14:50ZengMDPI AGEnergies1996-10732023-11-011623779110.3390/en16237791Optimized Dispatch of Regional Integrated Energy System Considering Wind Power Consumption in Low-Temperature EnvironmentLiangkai Li0Jingguang Huang1Zhenxing Li2Hao Qi3College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, ChinaCollege of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, ChinaCollege of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, ChinaCollege of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, ChinaThe wind abandonment phenomenon of cogeneration units in regional integrated energy systems (RIES) under the operation mode of “heat for electricity” and the improvement in the operation efficiency of the energy storage system under a low-temperature environment are problems that need to be solved urgently. To this end, a regional integrated energy system optimization scheduling method based on fine energy storage and wind power consumption is proposed in the paper. First, a fine energy storage model more adapted to a low-temperature environment is established on the power side to accurately simulate the actual working state of the energy storage components and quantify the uncertainty of the wind power output using the conditional value-at-risk (CVaR) theory. Then, a combined heat and power demand response mechanism is introduced on the load side to reduce the peak-to-valley difference in the heat and power loads, it is realized to promote the system’s consumption of wind power without increasing the transmission power of the contact line. Finally, the example is solved on the MATLAB platform with the objective of minimizing the total cost of the RIES optimal dispatch. The simulation results show that the proposed model is not only more adaptable to a low-temperature environment compared with the traditional model but also reduces the overall cost of the system by 2.58% while realizing the complete consumption of wind power. This innovative study provides a feasible and efficient solution to improve the performance of integrated energy systems, especially the operation capability in extreme environments.https://www.mdpi.com/1996-1073/16/23/7791regional integrated energy systemfine energy storage modelwind power consumption conditionvalue at riskdemand response mechanism
spellingShingle Liangkai Li
Jingguang Huang
Zhenxing Li
Hao Qi
Optimized Dispatch of Regional Integrated Energy System Considering Wind Power Consumption in Low-Temperature Environment
Energies
regional integrated energy system
fine energy storage model
wind power consumption condition
value at risk
demand response mechanism
title Optimized Dispatch of Regional Integrated Energy System Considering Wind Power Consumption in Low-Temperature Environment
title_full Optimized Dispatch of Regional Integrated Energy System Considering Wind Power Consumption in Low-Temperature Environment
title_fullStr Optimized Dispatch of Regional Integrated Energy System Considering Wind Power Consumption in Low-Temperature Environment
title_full_unstemmed Optimized Dispatch of Regional Integrated Energy System Considering Wind Power Consumption in Low-Temperature Environment
title_short Optimized Dispatch of Regional Integrated Energy System Considering Wind Power Consumption in Low-Temperature Environment
title_sort optimized dispatch of regional integrated energy system considering wind power consumption in low temperature environment
topic regional integrated energy system
fine energy storage model
wind power consumption condition
value at risk
demand response mechanism
url https://www.mdpi.com/1996-1073/16/23/7791
work_keys_str_mv AT liangkaili optimizeddispatchofregionalintegratedenergysystemconsideringwindpowerconsumptioninlowtemperatureenvironment
AT jingguanghuang optimizeddispatchofregionalintegratedenergysystemconsideringwindpowerconsumptioninlowtemperatureenvironment
AT zhenxingli optimizeddispatchofregionalintegratedenergysystemconsideringwindpowerconsumptioninlowtemperatureenvironment
AT haoqi optimizeddispatchofregionalintegratedenergysystemconsideringwindpowerconsumptioninlowtemperatureenvironment