| 引用本文: | 匡萃浙,王群,陈泽兴,邹舟诣奥,陈伯达.考虑管存能力及风险调节代价的电气互联系统风电消纳调度[J].电力自动化设备,2022,42(3): |
| KUANG Cuizhe,WANG Qun,CHEN Zexing,ZOU Zhouyiao,CHEN Boda.Wind power consumption dispatching of integrated electricity and natural gas system considering line-pack capacity and risk adjustment cost[J].Electric Power Automation Equipment,2022,42(3): |
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| 摘要: |
| 电气互联系统(IENGS)以其多能互补优势为广域风电消纳能力提升提供了新途径。聚焦高比例风电接入下IENGS优化调度问题，从电转气技术及系统调节能力的角度，分析了IENGS的风电消纳能力及调节风险；结合天然气管道传输模型，研究了IENGS基于天然气管道的能量存储特性；进一步地，综合考虑IENGS调度运行成本及风险调节代价2个目标，计及天然气管道存储特性，建立了含高比例风电的IENGS日前经济调度和风险调节代价的双目标优化模型，并采用ε-约束法求解双目标Pareto曲线。仿真结果表明，IENGS的管存特性可提升电转气设备的运行能力进而促进高比例风电消纳，同时也增加了系统调节备用，且采用双目标优化模型可兼顾经济调度和风险调节代价两者的平衡。 |
| 关键词: 电气互联系统 风险调节代价 管存能力 风电消纳 优化调度 |
| DOI：10.16081/j.epae.202112025 |
| 分类号:TM73;TK01 |
| 基金项目:国家自然科学基金资助项目(52078305)；深圳职业技术学院2020年校级项目(6020310011K) |
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| Wind power consumption dispatching of integrated electricity and natural gas system considering line-pack capacity and risk adjustment cost |
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KUANG Cuizhe1, WANG Qun1, CHEN Zexing2, ZOU Zhouyiao1, CHEN Boda3
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1.Shenzhen Polytechnic, Shenzhen 518055, China;2.Energy Research Institute of China Southern Power Grid Co.,Ltd.,Guangzhou 510663, China;3.Guangzhou Power Supply Bureau of Guangdong Power Grid Co.,Ltd.,Guangzhou 510620, China
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| Abstract: |
| The IENGS(Integrated Electricity and Natural Gas System) provides a new way for improving the capacity of wide-area wind power consumption owing to its multi-energy complementary. Focusing on the optimal dispatching problem of IENGS integrated with the high proportion of wind power, from the perspectives of P2G(Power-to-Gas) technology and system adjustment capacity, the wind power consumption capacity and risk adjustment cost of IENGS are analyzed. Combined with the transmission model of natural gas pipeline, the energy storage characteristics of IENGS based on natural gas pipeline are studied. Furthermore, considering the two objectives of dispatching operation cost and risk adjustment cost for IENGS comprehensively, taking the storage characteristics of natural gas pipeline into account, the dual-objective optimization model of day-ahead economic dispatching and risk adjustment cost for IENGS integrated with the high proportion of wind power is built, and the ε-constraint method is used to solve the dual-objective Pareto curve. Simulative results show that the storage characteristics of IENGS can improve the operation capacity of P2G devices, so that promoting the consumption of high proportion of wind power, meanwhile increasing the system adjustment reserve. Moreover, adopting the dual-objective optimization model can take into account the balance of economic dispatching and risk adjustment cost. |
| Key words: integrated electricity and natural gas system risk adjustment cost line-pack capacity wind power consumption optimal dispatching |
