• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

Electric Power Construction ›› 2020, Vol. 41 ›› Issue (2): 1-10.doi: 10.3969/j.issn.1000-7229.2020.02.001

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Multi-Objective Optimization Model of Gas-Electricity Interconnected Virtual Power Plant Considering Demand Response

ZHANG Junliu1,FAN Wei2, TAN Zhongfu2, JU Liwei2, DE Gejirifu2,YANG Shenbo2, SUN Jingxia2   

  1. 1. State Grid Shanxi Electric Power Company, Taiyuan 030002, China;2.North China Electric Power University, Beijing 102206, China
  • Online:2020-02-01
  • Supported by:
    This work is supported by Fundamental Research Funds for the Central Universities(No. 2019QN006).

Abstract: 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; 2) 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.

Key words: virtual power plant, power-to-gas, multi-objective optimization, demand response

CLC Number: