佟曦, 陈衡, 苟凯杰, 徐钢, 刘文毅, 张国强. 考虑阶梯式碳交易机制的电化学储能与抽水蓄能协同调度优化[J]. 动力工程学报, 2024, 44(3): 430-438. DOI: 10.19805/j.cnki.jcspe.2024.230491
引用本文: 佟曦, 陈衡, 苟凯杰, 徐钢, 刘文毅, 张国强. 考虑阶梯式碳交易机制的电化学储能与抽水蓄能协同调度优化[J]. 动力工程学报, 2024, 44(3): 430-438. DOI: 10.19805/j.cnki.jcspe.2024.230491
TONG Xi, CHEN Heng, GOU Kaijie, XU Gang, LIU Wenyi, ZHANG Guoqiang. Collaborative Dispatching Optimization of Electrochemical Energy Storage and Pumped Storage Considering a Stepped Carbon Trading Mechanism[J]. Journal of Chinese Society of Power Engineering, 2024, 44(3): 430-438. DOI: 10.19805/j.cnki.jcspe.2024.230491
Citation: TONG Xi, CHEN Heng, GOU Kaijie, XU Gang, LIU Wenyi, ZHANG Guoqiang. Collaborative Dispatching Optimization of Electrochemical Energy Storage and Pumped Storage Considering a Stepped Carbon Trading Mechanism[J]. Journal of Chinese Society of Power Engineering, 2024, 44(3): 430-438. DOI: 10.19805/j.cnki.jcspe.2024.230491

考虑阶梯式碳交易机制的电化学储能与抽水蓄能协同调度优化

Collaborative Dispatching Optimization of Electrochemical Energy Storage and Pumped Storage Considering a Stepped Carbon Trading Mechanism

  • 摘要: 为了验证电化学储能与抽水蓄能协同调度下参与电力市场与碳市场的可行性,构建了包含火力发电、风力发电、光伏发电、抽水蓄能以及电化学储能的多能互补系统。考虑平准化度电成本(LCOE)和碳排放成本,以购能成本、LCOE、碳排放成本及弃风弃光成本之和最小为目标函数,调用MATLAB的Cplex求解器,进行调度优化求解。以西北某区域电网夏季典型日的数据为例,引入分时上网电价及阶梯碳交易机制,设置不同储能系统参与、不同碳交易机制等6种场景。结果表明:抽水蓄能与电化学储能协同调度下的电力市场收益和碳市场收益最高,系统碳排放量最低,验证了所提出的储能协同配置方案及调度优化方案的可行性。

     

    Abstract: In order to verify the feasibility of participating in the electricity market and carbon market under the coordinated scheduling of electrochemical energy storage and pumped storage, a multi energy complementary system including thermal power units, wind power, photovoltaic power, pumped storage, and electrochemical energy storage was constructed. Considering the levelized cost of electricity(LCOE) and carbon emission cost, with the objective function of minimizing the sum of energy purchase cost, LCOE, carbon emission cost, and wind and solar abandonment cost, the Cplex solver in MATLAB was called for scheduling optimization solution. Taking the typical summer day data of a certain regional power grid in the northwest as an example, the time-of-use electricity price and tiered carbon trading mechanism were introduced, and six scenarios were set up, including different energy storage systems participating and different carbon trading mechanisms. Results show that the electricity market revenue and carbon market revenue are the highest and the system carbon emissions are the lowest under the collaborative scheduling of pumped storage and electrochemical energy storage, which verifies the feasibility of the proposed energy storage collaborative configuration scheme and scheduling optimization scheme.

     

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