Optimal Dispatch of a Virtual Power Plant Considering Demand Response and Carbon Trading
The implementation of demand response (DR) could contribute to significant economic benefits meanwhile simultaneously enhancing the security of the concerned power system. A well-designed carbon emission trading mechanism provides an efficient way to achieve emission reduction targets. Given this ba...
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-06-01
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| Series: | Energies |
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| Online Access: | http://www.mdpi.com/1996-1073/11/6/1488 |
| _version_ | 1798034405294342144 |
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| author | Zuoyu Liu Weimin Zheng Feng Qi Lei Wang Bo Zou Fushuan Wen You Xue |
| author_facet | Zuoyu Liu Weimin Zheng Feng Qi Lei Wang Bo Zou Fushuan Wen You Xue |
| author_sort | Zuoyu Liu |
| collection | DOAJ |
| description | The implementation of demand response (DR) could contribute to significant economic benefits meanwhile simultaneously enhancing the security of the concerned power system. A well-designed carbon emission trading mechanism provides an efficient way to achieve emission reduction targets. Given this background, a virtual power plant (VPP) including demand response resources, gas turbines, wind power and photovoltaics with participation in carbon emission trading is examined in this work, and an optimal dispatching model of the VPP presented. First, the carbon emission trading mechanism is briefly described, and the framework of optimal dispatching in the VPP discussed. Then, probabilistic models are utilized to address the uncertainties in the predicted generation outputs of wind power and photovoltaics. Demand side management (DSM) is next implemented by modeling flexible loads such as the chilled water thermal storage air conditioning systems (CSACSs) and electric vehicles (EVs). On this basis, a mixed integer linear programming (MILP) model for the optimal dispatching problem in the VPP is established, with an objective of maximizing the total profit of the VPP considering the costs of power generation and carbon emission trading as well as charging/discharging of EVs. Finally, the developed dispatching model is solved by the commercial CPLEX solver based on the YALMIP/MATLAB (version 8.4) toolbox, and sample examples are served for demonstrating the essential features of the proposed method. |
| first_indexed | 2024-04-11T20:43:53Z |
| format | Article |
| id | doaj.art-cef2b6ef4619469fbd0775e22ff8a11c |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T20:43:53Z |
| publishDate | 2018-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-cef2b6ef4619469fbd0775e22ff8a11c2022-12-22T04:04:06ZengMDPI AGEnergies1996-10732018-06-01116148810.3390/en11061488en11061488Optimal Dispatch of a Virtual Power Plant Considering Demand Response and Carbon TradingZuoyu Liu0Weimin Zheng1Feng Qi2Lei Wang3Bo Zou4Fushuan Wen5You Xue6School of Electrical Engineering, Zhejiang University, No. 38 Zheda Rd., Hangzhou 310027, ChinaState Grid Zhejiang Electric Power Co., Ltd., No. 8 Huanglong Rd., Hangzhou 310007, ChinaSchool of Electrical Engineering, Zhejiang University, No. 38 Zheda Rd., Hangzhou 310027, ChinaState Grid Zhejiang Economic Research Institute, No.1 Nanfu Road, Hangzhou 310008, ChinaState Grid Zhejiang Economic Research Institute, No.1 Nanfu Road, Hangzhou 310008, ChinaDepartment for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, VietnamSchool of Electrical Engineering, Zhejiang University, No. 38 Zheda Rd., Hangzhou 310027, ChinaThe implementation of demand response (DR) could contribute to significant economic benefits meanwhile simultaneously enhancing the security of the concerned power system. A well-designed carbon emission trading mechanism provides an efficient way to achieve emission reduction targets. Given this background, a virtual power plant (VPP) including demand response resources, gas turbines, wind power and photovoltaics with participation in carbon emission trading is examined in this work, and an optimal dispatching model of the VPP presented. First, the carbon emission trading mechanism is briefly described, and the framework of optimal dispatching in the VPP discussed. Then, probabilistic models are utilized to address the uncertainties in the predicted generation outputs of wind power and photovoltaics. Demand side management (DSM) is next implemented by modeling flexible loads such as the chilled water thermal storage air conditioning systems (CSACSs) and electric vehicles (EVs). On this basis, a mixed integer linear programming (MILP) model for the optimal dispatching problem in the VPP is established, with an objective of maximizing the total profit of the VPP considering the costs of power generation and carbon emission trading as well as charging/discharging of EVs. Finally, the developed dispatching model is solved by the commercial CPLEX solver based on the YALMIP/MATLAB (version 8.4) toolbox, and sample examples are served for demonstrating the essential features of the proposed method.http://www.mdpi.com/1996-1073/11/6/1488virtual power plant (VPP)demand response (DR)carbon trading mechanismuncertaintyelectric vehicle (EV) |
| spellingShingle | Zuoyu Liu Weimin Zheng Feng Qi Lei Wang Bo Zou Fushuan Wen You Xue Optimal Dispatch of a Virtual Power Plant Considering Demand Response and Carbon Trading Energies virtual power plant (VPP) demand response (DR) carbon trading mechanism uncertainty electric vehicle (EV) |
| title | Optimal Dispatch of a Virtual Power Plant Considering Demand Response and Carbon Trading |
| title_full | Optimal Dispatch of a Virtual Power Plant Considering Demand Response and Carbon Trading |
| title_fullStr | Optimal Dispatch of a Virtual Power Plant Considering Demand Response and Carbon Trading |
| title_full_unstemmed | Optimal Dispatch of a Virtual Power Plant Considering Demand Response and Carbon Trading |
| title_short | Optimal Dispatch of a Virtual Power Plant Considering Demand Response and Carbon Trading |
| title_sort | optimal dispatch of a virtual power plant considering demand response and carbon trading |
| topic | virtual power plant (VPP) demand response (DR) carbon trading mechanism uncertainty electric vehicle (EV) |
| url | http://www.mdpi.com/1996-1073/11/6/1488 |
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