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

doi:10.12204/j.issn.1000-7229.2020.10.012

电力建设 ›› 2020, Vol. 41 ›› Issue (10): 106-115.doi: 10.12204/j.issn.1000-7229.2020.10.012

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

林宏宇¹, 闫庆友¹, 德格吉日夫², 杨莘博¹, 吴静¹, 樊伟¹, 谭忠富¹, 崔战涛³

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

收稿日期:2020-03-03 出版日期:2020-10-01 发布日期:2020-09-30
通讯作者: 德格吉日夫
作者简介:林宏宇(1996),男,博士研究生,主要研究方向为电力市场、综合能源;|闫庆友(1963),男,博士,教授,博士生导师,主要研究方向为电力经济等;|杨莘博(1995),女,博士研究生,主要研究方向为综合能源;|吴静(1993),女,博士研究生,主要研究方向为电力市场、综合能源;|樊伟(1995),男,博士研究生,主要研究方向为电力市场、综合能源;|谭忠富(1964),男,博士,教授,博士生导师,主要研究方向为电力市场、综合能源等;|崔战涛(1981),男,高级工程师,主要研究方向为配电网规划、综合能源等。
基金资助:
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)

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

LIN Hongyu¹, YAN Qingyou¹, DE Gejirifu², YANG Shenbo¹, WU Jing¹, FAN Wei¹, TAN Zhongfu¹, CUI Zhantao³

1. School of Economics and Management, North China Electric Power University, Beijing 102206, China
2. Economic and Technological Research Institute, Inner Mongolia Electric Power Group Co., Ltd., Hohhot 010071, China

Received:2020-03-03 Online:2020-10-01 Published:2020-09-30
Contact: DE Gejirifu
Supported by:
National Natural Science Foundation of China(71501094);2018 Key Projects of Philosophy and Social Sciences Research, Ministry of Education(18JZD032);Fundamental Research Funds for the Central Universities(2019QN067)

摘要/Abstract

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。

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

Abstract:

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.

Key words: power-to-gas(P2G), green certificate market, peak-regulation optimization for gas-fired generators, chaos particle swarm optimization algorithm

中图分类号:

TM73

林宏宇, 闫庆友, 德格吉日夫, 杨莘博, 吴静, 樊伟, 谭忠富, 崔战涛. 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[J]. 电力建设, 2020, 41(10): 106-115.

LIN Hongyu, YAN Qingyou, DE Gejirifu, YANG Shenbo, WU Jing, FAN Wei, TAN Zhongfu, CUI Zhantao. Peak-Regulation Optimization Model for Gas-Fired Generators in Parks with P2G Employed Under Mixed Market Environment[J]. ELECTRIC POWER CONSTRUCTION, 2020, 41(10): 106-115.

图/表 20

图1 绿证市场及电力市场环境下的园区电力系统结构

Fig.1 Park power system’s structure under the green certificate trading and electricity markets

表1 调峰服务类型

Table 1 Classification of peak regulation

图2 求解步骤

Fig.2 Solution steps

表2 情景设置

Table 2 Scenario setting

表3 风光机组具体参数

Table 3 Parameters of photovoltaic and wind power generators

表4 P2G及储气罐具体参数

Table 4 Parameters of the P2G converter and gas storage tank

表5 燃气机组具体参数

Table 5 Parameters of gas-fired generators

图3 风光机组出力情况及各时段园区负荷

Fig.3 Output of photovoltaic and wind power generators, and park loads in different periods

表6 实时深度调峰报价区间

Table 6 Quotation intervals of real-time paid peak regulation

图4 各时段调峰补偿出清价格

Fig.4 Clearing prices of peak-regulation compensation in different periods

表7 电价、气价及绿证价格数据

Table 7 Prices of electricity, gas and green certificate

表8 情景1下各机组在不同市场中的运营情况

Table 8 Operation of units in different markets under scenario 1

表9 情景2下各机组在不同市场中的运营情况

Table 9 Operation of units in different markets under scenario 2

表10 情景3下各机组在不同市场中的运营情况

Table 10 Operation of units in different markets under scenario 3

表11 情景4下各机组在不同市场中的运营情况

Table 11 Operation of units in different markets under scenario 4

图5 风光消纳情况

Fig.5 Clean energy utilization

表12 燃气调峰意愿

Table 12 Gas-fired generators’ willingness of peak regulation

表13 CO2排放量

Table 13 CO2 emissiont

图6 系统净收益情况

Fig.6 Net income of the system

图7 算法收敛曲线

Fig.7 Convergence curve of the algorithm

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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

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