Low-carbon economic scheduling of deep peak regulating market with the participation of wind power，thermal power，storage and carbon capture units considering demand response

doi:10.3969/j.issn.2097-0706.2023.08.010

Abstract

Abstract:

Under the "dual carbon" target， it is necessary to vigorously develop clean energy and keep the guarantee role of thermal power. In order to adapt the market mechanism on both source and load end to the peak-load shaving requirements of the power grid with high permeability of renewable energy，a multi-source deep peak regulation （DPR） model with the participation of wind power，thermal power，storage and carbon capture units is proposed based on priced-based demand response（PBDR），and the characteristics of the demand response mechanism are analysed. The model not only solves the excessive energy loss， high cost， high carbon emissions and lack of motivation in participating in DPR of thermal power units， but also optimizes their output and load curves， working well on peak-load shifting， peak regulation cost reduction and pressure alleviation. Numerical study examples show that the proposed model is effective in improving wind power consumption， and reducing the coal consumption， operation cost and deep peak regulation times of thermal power units. Carbon capture units can further reduce the carbon emissions and facilitate energy storage units' earnings from participation in DPR. The pricing strategy considering the cost characteristics of thermal-storage units realizes the economic and low-carbon DRP of power grid.

Key words: source-load characteristics, deep peak regulation, carbon emission, time-of-use tariff, energy storage, new energy, "dual carbon" target, priced-based demand response

CLC Number:

TK01：TM73

YU Haibin, GAO Yiling, LU Zengjie, DONG Shuai, LU Lin, REN Yizhi. Low-carbon economic scheduling of deep peak regulating market with the participation of wind power，thermal power，storage and carbon capture units considering demand response[J]. Integrated Intelligent Energy, 2023, 45(8): 80-89.

Figures/Tables 26

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[28]	李甲伟, 刘新龙, 梁祖雄, 等. 火电机组深度调峰控制系统优化研究[J]. 自动化仪表, 2022, 43(7):67-72.
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[29]	张明理, 张娜, 武志锴, 等. 日前电能市场与深度调峰市场联合出清模型[J]. 中国电力, 2022, 55(2):138-144.
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机组类型	档位	申报价格区间/[元·（MW·h）^-1]	调峰出力区间
火电机组	1	[200，300）	0.4P_e≤P<0.5P_e
	2	[300，400）	0.3P_e≤P<0.4P_e
	3	[400，500）	P<0.3P_e
储能	—	750~950	≥20 MW/40 MW·h

机组类型	档位	申报价格区间/[元·（MW·h）^-1]	调峰出力区间
火电机组	1	[200，300）	0.4P_e≤P<0.5P_e
	2	[300，400）	0.3P_e≤P<0.4P_e
	3	[400，500）	P<0.3P_e
储能	—	750~950	≥20 MW/40 MW·h

项目	澳大利亚	英国	PJM	CASIO
电能市场	申报充电报价和放电报价，依靠尖峰电价套利	双边交易，交易所交易，平衡交易	“量-价”阶梯报价，统一调度规划，自计划	充放电投标价，循环充放电价差投标，自计划
辅助服务市场	调频市场（调节调频市场，应急调频市场）	调频市场（快速调频），备用市场（短期运行备用，快速备用）	调频市场，备用市场（旋转备用、非旋转备用）	调频市场（上调频，下调频）灵活爬坡（向上灵活爬坡、向下灵活爬坡），备用市场（旋转备用、非旋转备用）
容量市场		参与容量市场	参与容量市场	参与容量市场

项目	澳大利亚	英国	PJM	CASIO
电能市场	申报充电报价和放电报价，依靠尖峰电价套利	双边交易，交易所交易，平衡交易	“量-价”阶梯报价，统一调度规划，自计划	充放电投标价，循环充放电价差投标，自计划
辅助服务市场	调频市场（调节调频市场，应急调频市场）	调频市场（快速调频），备用市场（短期运行备用，快速备用）	调频市场，备用市场（旋转备用、非旋转备用）	调频市场（上调频，下调频）灵活爬坡（向上灵活爬坡、向下灵活爬坡），备用市场（旋转备用、非旋转备用）
容量市场		参与容量市场	参与容量市场	参与容量市场

项目	江苏	浙江	山东
电能市场	尚未参	通过自计划形式参与	按自计划形式参与
辅助服务市场	调频市场、调峰市场	调频市场、调峰市场	调频市场、调峰市场