Multi-Objective Day-Ahead Scheduling of Power Market Integrated With Wind Power Producers Considering Heat and Electricity Trading and Demand Response Programs

The large-scale penetration of renewable energy, such as wind power, brings a lot of economic and environmental benefits to the grid, and it also causes hidden dangers in the reliability and security of the power system due to its uncertainty. As an effective demand-side management method, demand re...

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Main Authors: Chunyan Li, Yiming Yao, Chenyu Zhao, Xin Wang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8931731/
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author Chunyan Li
Yiming Yao
Chenyu Zhao
Xin Wang
author_facet Chunyan Li
Yiming Yao
Chenyu Zhao
Xin Wang
author_sort Chunyan Li
collection DOAJ
description The large-scale penetration of renewable energy, such as wind power, brings a lot of economic and environmental benefits to the grid, and it also causes hidden dangers in the reliability and security of the power system due to its uncertainty. As an effective demand-side management method, demand response has unique advantages in smoothing wind power fluctuations and mitigating grid pressure. This paper proposes a new model for the demand response aggregator (DRA) that includes both combined heat and power systems (CHPS) and energy storage devices. DRA can interact with the Independent system operator (ISO) through combined heat and power (CHP) units, energy storage devices, and the heat buffer tank to benefit from the electricity market and the thermal market simultaneously. At the same time, wind power producers (WPP) are modeled to turn wind power that was initially passively consumed into active market participants. The problem is modeled using an improved weighted method, which aims to take the diverse objectives of multiple market participants into account. The proposed model is tested on the modified IEEE RTS-24 test system to analyze the optimal scheduling strategies of each participant in the power market.
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spelling doaj.art-3beeb71123c44b31828e4757fb70886d2022-12-21T19:51:56ZengIEEEIEEE Access2169-35362019-01-01718121318122810.1109/ACCESS.2019.29590128931731Multi-Objective Day-Ahead Scheduling of Power Market Integrated With Wind Power Producers Considering Heat and Electricity Trading and Demand Response ProgramsChunyan Li0https://orcid.org/0000-0002-1926-4888Yiming Yao1https://orcid.org/0000-0001-5642-6172Chenyu Zhao2https://orcid.org/0000-0002-2274-5658Xin Wang3https://orcid.org/0000-0001-6160-4770State Key Laboratory of Power Transmission Equipment and System Security and New Technology, Chongqing University, Chongqing, ChinaState Key Laboratory of Power Transmission Equipment and System Security and New Technology, Chongqing University, Chongqing, ChinaState Key Laboratory of Power Transmission Equipment and System Security and New Technology, Chongqing University, Chongqing, ChinaState Key Laboratory of Power Transmission Equipment and System Security and New Technology, Chongqing University, Chongqing, ChinaThe large-scale penetration of renewable energy, such as wind power, brings a lot of economic and environmental benefits to the grid, and it also causes hidden dangers in the reliability and security of the power system due to its uncertainty. As an effective demand-side management method, demand response has unique advantages in smoothing wind power fluctuations and mitigating grid pressure. This paper proposes a new model for the demand response aggregator (DRA) that includes both combined heat and power systems (CHPS) and energy storage devices. DRA can interact with the Independent system operator (ISO) through combined heat and power (CHP) units, energy storage devices, and the heat buffer tank to benefit from the electricity market and the thermal market simultaneously. At the same time, wind power producers (WPP) are modeled to turn wind power that was initially passively consumed into active market participants. The problem is modeled using an improved weighted method, which aims to take the diverse objectives of multiple market participants into account. The proposed model is tested on the modified IEEE RTS-24 test system to analyze the optimal scheduling strategies of each participant in the power market.https://ieeexplore.ieee.org/document/8931731/Combined heat and powerdemand responseelectricity marketelectricity storagewind power producer
spellingShingle Chunyan Li
Yiming Yao
Chenyu Zhao
Xin Wang
Multi-Objective Day-Ahead Scheduling of Power Market Integrated With Wind Power Producers Considering Heat and Electricity Trading and Demand Response Programs
IEEE Access
Combined heat and power
demand response
electricity market
electricity storage
wind power producer
title Multi-Objective Day-Ahead Scheduling of Power Market Integrated With Wind Power Producers Considering Heat and Electricity Trading and Demand Response Programs
title_full Multi-Objective Day-Ahead Scheduling of Power Market Integrated With Wind Power Producers Considering Heat and Electricity Trading and Demand Response Programs
title_fullStr Multi-Objective Day-Ahead Scheduling of Power Market Integrated With Wind Power Producers Considering Heat and Electricity Trading and Demand Response Programs
title_full_unstemmed Multi-Objective Day-Ahead Scheduling of Power Market Integrated With Wind Power Producers Considering Heat and Electricity Trading and Demand Response Programs
title_short Multi-Objective Day-Ahead Scheduling of Power Market Integrated With Wind Power Producers Considering Heat and Electricity Trading and Demand Response Programs
title_sort multi objective day ahead scheduling of power market integrated with wind power producers considering heat and electricity trading and demand response programs
topic Combined heat and power
demand response
electricity market
electricity storage
wind power producer
url https://ieeexplore.ieee.org/document/8931731/
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AT yimingyao multiobjectivedayaheadschedulingofpowermarketintegratedwithwindpowerproducersconsideringheatandelectricitytradinganddemandresponseprograms
AT chenyuzhao multiobjectivedayaheadschedulingofpowermarketintegratedwithwindpowerproducersconsideringheatandelectricitytradinganddemandresponseprograms
AT xinwang multiobjectivedayaheadschedulingofpowermarketintegratedwithwindpowerproducersconsideringheatandelectricitytradinganddemandresponseprograms