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考虑中国深度调峰的燃煤发电机组多目标优化

Multi-objective optimization of coal-fired power units considering deep peaking regulation in China.

作者信息

Feng Sida, Zhang Xingping, Zhang Haonan

机构信息

School of Economics and Management, North China Electric Power University, Beijing, 102206, China.

Beijing Key Laboratory of New Energy and Low-Carbon Development (North China Electric Power University), Beijing, 102206, China.

出版信息

Environ Sci Pollut Res Int. 2023 Jan;30(4):10756-10774. doi: 10.1007/s11356-022-22628-2. Epub 2022 Sep 9.

Abstract

China states to build new power system dominated by new energy power to promote the targets for peaking carbon emissions by 2030 and achieve carbon neutrality by 2060. Peaking regulation ancillary services provided by coal-fired power units is an essential solution to mitigate the volatility and instability of large-scale renewable energy for China's specific power mix. However, when the coal-fired power units operate at a low power output, the intensity of both coal consumption and carbon emissions gradually rises with the falling output rate. Moreover, cutting down the power output of coal-fired units frequently will damage the technical life. Given the impacts of power market reform and carbon mitigation targets, whether to participate in the energy market or the peaking regulation ancillary service market is an urgent issue for coal-fired power units. Considering the discrepancy in costs and benefits of various units at different output rate, this paper proposes a multi-objective optimization model to solve the issue from the perspective of the coal-fired power generators, in which both economic profit and carbon reduction goals are coordinated. Sequential quadratic programming is adopted to solve the nonlinear optimization problem. In order to study the difference in the decisions made by varied technical units, 7 different types of units are analyzed in the case study. The scenarios analysis indicates that large-capacity and new coal-fired power units are better to participate in energy market since it can give full play to the advantage of higher generation efficiency, while the small-capacity ones are suitable to provide flexible service in the peaking regulation ancillary service market. Besides, simple low-carbon objective will burden the cost of coal-fired power units and challenge the sustainable transition of power system. Hence, the power system should balance both economic profit of generators and national carbon mitigation targets during the low-carbon transition.

摘要

中国提出构建以新能源电力为主导的新型电力系统,以推动实现2030年碳达峰目标和2060年碳中和目标。对于中国特定的电力结构而言,燃煤发电机组提供的调峰辅助服务是缓解大规模可再生能源波动性和不稳定性的关键解决方案。然而,当燃煤发电机组低功率运行时,煤耗强度和碳排放强度会随着功率降低而逐渐上升。此外,频繁降低燃煤机组的功率输出会损害其技术寿命。鉴于电力市场改革和碳减排目标的影响,对于燃煤发电机组来说,是否参与能源市场或调峰辅助服务市场是一个亟待解决的问题。考虑到不同机组在不同输出功率下成本和收益的差异,本文从燃煤发电企业的角度提出了一个多目标优化模型来解决这一问题,该模型兼顾了经济利润和碳减排目标。采用序列二次规划法求解非线性优化问题。为了研究不同技术类型机组决策的差异,案例分析中对7种不同类型的机组进行了分析。情景分析表明,大容量新型燃煤机组更适合参与能源市场,因为这样可以充分发挥其发电效率更高的优势,而小容量机组则适合在调峰辅助服务市场提供灵活服务。此外,单纯的低碳目标会增加燃煤机组的成本,并对电力系统的可持续转型构成挑战。因此,在低碳转型过程中,电力系统应兼顾发电企业的经济利润和国家碳减排目标。

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