混合市场环境下计及电转气的园区燃气机组调峰优化模型  

Peak-Regulation Optimization Model for Gas-Fired Generators in Parks with P2G Employed Under Mixed Market Environment

作　　者：林宏宇 闫庆友[1] 德格吉日夫 杨莘博 吴静 樊伟 谭忠富[1] 崔战涛 LIN Hongyu;YAN Qingyou;DE Gejirifu;YANG Shenbo;WU Jing;FAN Wei;TAN Zhongfu;CUI Zhantao(School of Economics and Management,North China Electric Power University,Beijing 102206,China;Economic and Technological Research Institute,Inner Mongolia Electric Power Group Co.,Ltd.,Hohhot 010071,China;Shizuishan Power Supply Company,State Grid Ningxia Electric Power Co.,Ltd.,Shizuishan 753000,Ningxia Hui Autonomous Region,China)

机构地区：[1]华北电力大学经济与管理学院,北京市102206 [2]内蒙古电力集团有限责任公司经济技术研究院,呼和浩特市010071 [3]国网宁夏电力公司石嘴山供电公司,宁夏回族自治区石嘴山市753000

出　　处：《电力建设》2020年第10期106-115,共10页Electric Power Construction

基　　金：国家自然科学基金项目(71501094);教育部哲学社会科学重大课题攻关项目(18JZD032);中央高校基本科研业务费专项资金(2019QN067)。

摘　　要：清洁能源消纳是当前我国电力市场改革加速推进的一项重要目标。在此背景下,文章构建了混合市场环境下计及电转气(power-to-gas,P2G)的园区燃气机组调峰优化模型。首先,设计了风光机组、燃气机组、电转气和储气罐参与的园区电力系统运行结构;其次,计及绿证交易市场和调峰辅助服务市场机制,分别构建了园区发电机组绿证交易模型和调峰补偿模型;然后,以清洁能源消纳最大化、燃气调峰意愿最大化、CO2排放最小化和系统净收益最大化为目标,构建了清洁能源驱动下含P2G设备的园区供电系统经济调度数学模型;最后,采用混沌粒子群算法对模型求解。结果表明,此模型兼顾了P2G设备以及调峰补偿机制的园区电力系统,清洁能源消纳率提升了6.69%,CO2排放量减少了14.66 t;燃气机组积极参与了调峰,系统净收益最高提升了18.706万元,验证了所提模型的有效性,并体现了求解算法较好的收敛效果。Clean energy power accommodation is a key goal that China has been chasing currently since the power market reform was carried out.Under this background,this paper constructs a peak-regulation optimization model for gas-fired generators in parks with power-to-gas units employed under the mixed market environment.Firstly,the structure of a park power system with photovoltaic and wind power generators,gas-fired generators,a power-to-gas converter,and a gas storage tank is designed.Secondly,with consideration of the green certificate market and peak-regulation compensation mechanism,green certificate trading models for power units in the park and a peak-regulation compensation model are both built.Thirdly,a mathematical model of economic dispatch for park power supply systems with power-to-gas units and clean energy power generation is built,in the pursuit of the minimum CO2 emission and the maximum clean energy power accommodation,peak-regulation willingness of gas-fired generators and system’s revenue.The model is solved by using the chaos particle swarm optimization algorithm.The following results are obtained:1)the consumption rate of clean energy power has increased 6.69%and the CO2 emission has reduced 14.66 tons,in the scenario with both power-to-gas and peak-regulation compensation mechanism involved;2)the revenue of the system has increased up to 187,060 Yuan,after fully considering gas-fired generators’participation in peak regulation,thus verifying the effectiveness of the proposed model and showing a better convergence effect of the algorithm.

关 键 词：电转气(P2G) 绿证交易市场 燃气调峰优化模型 混沌粒子群算法 

分 类 号：TM73[电气工程—电力系统及自动化]