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基于场景分析的风电场与电转气厂站协同选址规划

王芃 刘伟佳 林振智 文福拴 董朝阳 郑宇 张睿

电力系统自动化2017,Vol.41Issue(6):20-29,10.
电力系统自动化2017,Vol.41Issue(6):20-29,10.DOI:10.7500/AEPS20161012007

基于场景分析的风电场与电转气厂站协同选址规划

Scenario Analysis Based Collaborative Site Selection Planning of Wind Farms and Power-to-gas Plants

王芃 1刘伟佳 1林振智 1文福拴 1董朝阳 2郑宇 3张睿3

作者信息

  • 1. 浙江大学电气工程学院,浙江省杭州市 310027
  • 2. 文莱科技大学电机与电子工程系,文莱斯里巴加湾 BE1410,文莱
  • 3. 南方电网科学研究院,广东省广州市 510080
  • 折叠

摘要

Abstract

The emergence of power-to-gas(PtG)technology offers a potential option in absorbing the surplus generation of wind power and other renewable energy sources.However,it is of poor investment efficiency if only the construction investment of PtG plants is carried out owing to high investment and operation costs.Given this background,a collaborative site selection planning model is established,where renewable energy company will be in charge of the co-investment of wind farms and PtG plants.Firstly,the mathematical model of a PtG plant is developed based on its technical features.On this basis,a scenario analysis based collaborative site selection planning model is proposed which maximizes the net investment income considering the constraints of power system and natural gas system.Historical wind speed time series are considered as the original scenarios in scenario optimization,and a density clustering algorithm is introduced in scenario reduction in order to improve computational efficiency.Finally,the AMPL/BONMIN solver is adopted to solve the test case with interconnected electric power and natural gas systems,and the feasibility of the proposed model is verified by the interconnected electric power and gas systems consisted by modified IEEE 39-node power system and Belgium 20-node gas system.

关键词

电力和天然气互联系统/电转气技术/选址规划/场景分析

Key words

interconnected electric power and gas systems/power-to-gas technology/site selection planning/scenario analysis

引用本文复制引用

王芃,刘伟佳,林振智,文福拴,董朝阳,郑宇,张睿..基于场景分析的风电场与电转气厂站协同选址规划[J].电力系统自动化,2017,41(6):20-29,10.

基金项目

国家 重 点 基 础 研 究 发 展 计 划 (973 计 划)资 助 项 目(2013CB228202) (973 计 划)

国家自然科学基金资助项目(51477151) (51477151)

中国南方电网有限责任公司科技项目(WYKJ00000027).This work is supported by State Grid Corporation of China(No.SGTJDK00DWJS1500100). (WYKJ00000027)

电力系统自动化

OA北大核心CSCDCSTPCD

1000-1026

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