基于ADMM的多场景县域多微电网交互运行策略

doi:10.11930/j.issn.1004-9649.202308065

摘要/Abstract

摘要：

在“双碳”目标的引领下，可再生能源的消纳需求迎来快速增长。为了实现县域内不同负荷特性的微电网可再生能源优势互补，提高消纳率，提出了基于交替方向乘子法（alternating direction method of multipliers，ADMM）的多场景县域多微电网交互运行策略。首先，建立微电网独立运行的调度模型，在日前预调度计划中实现最优调度策略；其次，建立多微电网电能交互运行模型，利用ADMM迭代求解各微网间全局交互电量；最后，利用Shapley值法分配微网群系统的收益，降低每个子微网的系统运行成本。算例分析表明，所提方法不仅能提高可再生能源的消纳率，提升经济性，还能降低碳排放量，实现低碳运行。

关键词: 多微电网, 多场景, 阶梯式碳交易, ADMM, Shapley

Abstract:

Under the guidance of the "double carbon" goal, renewable energy has witnessed rapid growth in accommodation demand. In order to realize the complementary advantages of microgrid and renewable energy in the county and improve the accommodation rate of renewable energy, a ADMM-based interactive operation strategy for multi-scenario county-level multi-microgrid is proposed. Firstly, a scheduling model for independent microgrid operation is established to realize the optimal scheduling strategy in the day-ahead pre-scheduling plan. Secondly, a multi-microgrid energy interactive operation model is established, which is iteratively solved with the ADMM algorithm to obtain the global interactive energy between microgrids. Finally, the Shapley value method is used to allocate the benefits of the microgrid group and reduce the system operation cost of each sub-microgrid. The case study shows that the proposed method can not only improve the accommodation rate of renewable energy and realize the economy, but also reduce carbon emissions and realize low-carbon operation.

Key words: multi-microgrid, multi-scenario, cascade carbon trading, ADMM, Shapley

张冲标, 钱辰雯, 俞红燕, 彭燕玲, 陈金威. 基于ADMM的多场景县域多微电网交互运行策略[J]. 中国电力, 2024, 57(2): 9-18.

Chongbiao ZHANG, Chenwen QIAN, Hongyan YU, Yanling PENG, Jinwei CHEN. Interactive Operation Strategy for Multi-scenario County-Level Multi-microgrid Based on ADMM[J]. Electric Power, 2024, 57(2): 9-18.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202308065

https://www.electricpower.com.cn/CN/Y2024/V57/I2/9

图/表 9

图 1 县域网元区域内的微电网群互联交互框架结构

Fig.1 Interconnected interactive framework structure of microgrid group in county network element area

图 2 优化调度流程

Fig.2 Optimal scheduling process

图 3 微电网群负荷曲线

Fig.3 Load curves of microgrid group

图 4 可再生能源预测出力

Fig.4 Renewable energy forecast output

表 1 3种不同运行方式下各微网成本

Table 1 The cost of each microgrid under three different operating modes

场景	运行成本/元				微电网群碳排放量/kg
场景	微网1	微网2	微网3	微网群	微电网群碳排放量/kg
1	8586.5	13016.7	10513.9	32117.1	18120.4
2	7794.3	13418.1	10480.9	31693.3	17673.2
3	10240.2	9035.4	5851.9	25127.5	11008.2

图 5 成本收敛情况

Fig.5 Cost convergence

图 6 微电网间电能交互结果

Fig.6 Energy interaction results between microgrids

图 7 优化调度后各微网机组出力

Fig.7 The output of each microgrid unit after optimal scheduling

表 2 Shapley法分配收益后各微网实际运行成本

Table 2 The actual operating cost of each microgrid after Shapley benefit allocation

运行方式	运行成本/元
运行方式	微电网1	微电网2	微电网3	合计
微网1、2、3独立运行	8586.5	13016.7	10513.9	32117.1
微电网1、2、3联合运行	10240.2	9035.4	5851.9	25127.5
Shapley法分配后微电网 1、2、3联合运行	5488.4	10338.8	9300.3	25127.5

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