计及土地因素的微电网低碳经济优化配置方法

A Low-carbon Economic Optimization Configuration Method for Microgrids Considering Land Factors

  • 摘要: 在“双碳”战略背景下,考虑经济性的同时降低系统碳排放量成为目前微电网优化配置研究的重点。为此,提出计及碳交易和需求响应的含氢储能的微电网双层优化配置方法。通过在规划模型中引入阶梯式碳交易机制,并在碳排放源中考虑建设过程对土地碳排的影响;引入价格型需求响应,以调度周期内净负荷波动最小为目标函数,引导用户改变用电策略,以促进可再生能源的消纳。构建双层优化配置框架,上层为微电网配置优化,以年等值综合成本最低为目标函数;下层为微电网运行优化,以微电网运行成本和碳排放成本之和最小为目标函数。最后,结合江苏省某居民区的实际数据,采用增强型鲸鱼算法(enhanced whale algorithm,E-WOA)对双层优化配置模型进行求解,算例结果验证了所提方案与算法的优越性。

     

    Abstract: In the context of the "Double Carbon" strategy, reducing system carbon emissions while considering the economy has become a research focus on the optimal allocation of microgrids. Therefore, a two-layer optimal allocation method for microgrids with hydrogen-containing energy storage is proposed, considering carbon trading and demand response. By introducing a tiered carbon trading mechanism into the planning model and considering the impact of construction processes on land carbon emissions at carbon emission sources. The price-based demand response is introduced, with minimizing the net load fluctuation in the dispatch cycle as the objective function. In addition, users are guided to change their electricity consumption strategies to promote renewable energy accommodation. A two-layer optimization configuration framework is constructed, where the upper layer is utilized for microgrid configuration optimization, with the minimizing the annual equivalent comprehensive cost as the objective function. The lower layer is employed for microgrid operation optimization, with the objective of minimizing the sum of microgrid operating costs and carbon emission costs. Finally, combined with the actual data of a residential area in Jiangsu Province, enhanced whale optimization algorithm (E-WOA) is utilized to solve the two-layer optimal configuration model. The results of the case study verify the superiority of the proposed scheme and algorithm.

     

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