气候变化领域集成服务门户(CCPortal): Multi-objective optimization model of gas-electricity interconnected virtual power plant considering demand response

CCPortal

DOI	10.3969/j.issn.1000-7229.2020.02.001
	Multi-objective optimization model of gas-electricity interconnected virtual power plant considering demand response
	Zhang J.; Fan W.; Tan Z.; Ju L.; De G.; Yang S.; Sunjingxia
发表日期	2020
ISSN	10007229
起始页码	1
结束页码	10
卷号	41 期号:2
英文摘要	With the gradual increase of distributed energy permeability, virtual power plant technology has gradually become a key technology to solve the large-scale development of renewable energy. This paper focuses on multi-objective optimization of gas-electricity interconnected virtual power plant. Firstly, this paper integrates wind power, photovoltaic power generation, convention gas turbine, power-to-gas, gas storage tank, etc. into virtual power plants. At the same time, it links the public power grid and natural gas network. The load side includes electricity load, hydrogen fuel-cell vehicle load and natural gas load. The demand response is introduced to adjust the terminal load. Then, combined with power balance and other constraints, the multi-objective model of the gas-electricity interconnected virtual power plant is constructed with the optimization objectives of economic benefit of operation, peak regulation, and carbon dioxide emission. The multi-objective optimization model is transformed into a single-objective model by weighing each objective function. Finally, in order to verify' the validity and feasibility of the established model, a virtual power plant in a certain area is selected as an example to compare the operation results of four scenarios. The results show that: 1) The multi-objective optimization model of the gas- electricity interconnected virtual power plant can achieve the optimal comprehensive benefits of economy, stability and environmental protection; #) Power-to-gas and demand response have the synergistic effect of peak regulation, which improves the stability of the system; 3) Power-to-gas increases the amount of grid-connected clean energy and reduces carbon emissions; 4) The connection between the virtual power plant and the public network enables flexible energy interaction, and the rational purchase and sale of electricity strategies can optimize operation. © 2020, State Power Economic Research Institute. All rights reserved.
英文关键词	Demand response; Multi-objective optimization; Power-to-gas; Virtual power plant
来源期刊	Dianli Jianshe/Electric Power Construction
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/176985
作者单位	State Grid Shanxi Electric Power Company, Taiyuan, 030002, China; North China Electric Power University, Beijing, 102206, China
推荐引用方式 GB/T 7714	Zhang J.,Fan W.,Tan Z.,et al. Multi-objective optimization model of gas-electricity interconnected virtual power plant considering demand response[J],2020,41(2).
APA	Zhang J..,Fan W..,Tan Z..,Ju L..,De G..,...&Sunjingxia.(2020).Multi-objective optimization model of gas-electricity interconnected virtual power plant considering demand response.Dianli Jianshe/Electric Power Construction,41(2).
MLA	Zhang J.,et al."Multi-objective optimization model of gas-electricity interconnected virtual power plant considering demand response".Dianli Jianshe/Electric Power Construction 41.2(2020).