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考虑可再生能源消纳与灵活性需求的电力市场优化决策研究

Jinye Yang Chunyang Liu Yuanze Mi Hengxu Zhang Vladimir Terzija

全球能源互联网(英文)2021,Vol.4Issue(3):227-238,12.
全球能源互联网(英文)2021,Vol.4Issue(3):227-238,12.DOI:10.14171/j.2096-5117.gei.2021.03.001

考虑可再生能源消纳与灵活性需求的电力市场优化决策研究

Optimization operation model of electricity market considering renewable energy accommodation and f lexibility requirement

Jinye Yang 1Chunyang Liu 1Yuanze Mi 1Hengxu Zhang 1Vladimir Terzija1

作者信息

  • 1. Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education(Shandong University),Jinan 250061,Shandong,P.R.China
  • 折叠

摘要

Abstract

The renewable portfolio standard has been promoted in parallel with the reform of the electricity market,and the flexibility requirement of the power system has rapidly increased.To promote renewable energy consumption and improve power system flexibility,a bi-level optimal operation model of the electricity market is proposed.A probabilistic model of the flexibility requirement is established,considering the correlation between wind power,photovoltaic power,and load.A bi-level optimization model is established for the multi-markets; the upper and lower models represent the intra-provincial market and inter-provincial market models,respectively.To efficiently solve the model,it is transformed into a mixed-integer linear programming model using the Karush-Kuhn-Tucker condition and Lagrangian duality theory.The economy and flexibility of the model are verified using a provincial power grid as an example.

关键词

可再生能源消纳/配额制/灵活性需求/优化运行/混合整数线性规划

Key words

Renewable energy accommodation/Renewable portfolio standards/Flexibility requirement/Optimization operation/Mixed-integer linear programming

引用本文复制引用

Jinye Yang,Chunyang Liu,Yuanze Mi,Hengxu Zhang,Vladimir Terzija..考虑可再生能源消纳与灵活性需求的电力市场优化决策研究[J].全球能源互联网(英文),2021,4(3):227-238,12.

基金项目

This work is supported by the National Key R&D Program of China(2018YFA0702200) and Science and Technology Project of State Grid Shandong Electric Power Corporation (52062518000Q). (2018YFA0702200)

全球能源互联网(英文)

OACSCDCSTPCDEI

2096-5117

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