Zhou Bowen, Li Jianing, Liu Qihuitianbo, Li Guangdi, Gu Peng, Ning Liaoyi, Wang Zhenyu
College of Information Science and Engineering, Northeastern University, Shenyang, 110819, China.
Key Laboratory of Integrated Energy Optimization and Secure Operation of Liaoning Province, Northeastern University, Shenyang, 110819, China.
Heliyon. 2024 Jul 21;10(15):e34796. doi: 10.1016/j.heliyon.2024.e34796. eCollection 2024 Aug 15.
Energy-intensive load benefits from low electricity tariff and carbon emission, since they occupy certain amounts in the total cost of the product. This paper considers energy-intensive load participation in the electricity as well as carbon trading to reduce the cost. Firstly, an electricity-carbon model is established based on the correlation value method to calculate the carbon emissions of energy-intensive load based on their electricity consumption to realize the carbon amount. Afterwards, the baseline method is used to allocate free carbon emission quotas to energy-intensive load and a reward-penalty carbon trading price mechanism considering offset is proposed. Next, the objective function to achieve maximum benefits, and to reduce output fluctuation, and to improve new energy accommodation is proposed. The case studies show that, by comparing multi-objective function optimization, the optimization target proposed in this paper can effectively reduce wind power output fluctuations and improve wind power accommodation. Through the total participation in carbon trading and electricity market income, multi-objective optimization can increase the system income while ensuring that energy-intensive load meets production requirements under the premise of reducing carbon emissions, verifying the effectiveness of the low-carbon optimal operation model proposed in this paper.
高耗能负荷受益于低电价和碳排放，因为它们在产品总成本中占一定比例。本文考虑高耗能负荷参与电力和碳交易以降低成本。首先，基于关联值法建立电力-碳模型，根据高耗能负荷的用电量计算其碳排放量以实现碳量核算。之后，采用基准线法向高耗能负荷分配免费碳排放配额，并提出一种考虑抵消的奖惩碳交易价格机制。接着，提出实现效益最大化、降低输出波动以及提高新能源消纳能力的目标函数。案例研究表明，通过多目标函数优化比较，本文提出的优化目标能有效降低风电输出波动并提高风电消纳能力。通过全面参与碳交易和电力市场收益，多目标优化在确保高耗能负荷在减排前提下满足生产需求的同时，能够增加系统收益，验证了本文提出的低碳优化运行模型的有效性。
