首页> 外文期刊>现代电力系统与清洁能源学报(英文) >Optimal planning of energy storage system in active distribution system based on fuzzy multi-objective bi-level optimization
【24h】

Optimal planning of energy storage system in active distribution system based on fuzzy multi-objective bi-level optimization

机译:基于模糊多目标双层优化的主动配电系统储能系统优化规划

获取原文
获取原文并翻译 | 示例
       

摘要

A fuzzy multi-objective bi-level optimization problem is proposed to model the planning of energy storage system(ESS) in active distribution systems(ADS). The proposed model enables us to take into account how optimal operation strategy of ESS in the lower level can affect and be affected by the optimal allocation of ESS in the upper level. The power characteristic model of micro-grid(MG)and typical daily scenarios are established to take full consideration of time-variable nature of renewable energy generations(REGs) and load demand while easing the burden of computation. To solve the bi-level mixed integer problem, a multi-subgroup hierarchical chaos hybrid algorithm is introduced based on differential evolution(DE) and particle swarm optimization(PSO). The modified IEEE-33 bus benchmark distribution system is utilized to investigate the availability and effectiveness of the proposed model and the hybrid algorithm. Results indicate that the planningmodel gives an adequate consideration to the optimal operation and different roles of ESS, and has the advantages of objectiveness and reasonableness.
机译:提出了模糊多目标双层优化问题,对主动配电系统(ADS)中的储能系统(ESS)的规划进行建模。提出的模型使我们能够考虑较低级别的ESS的最佳操作策略如何影响较高级别的ESS的最佳配置并受其影响。建立了微电网的功率特征模型和典型的日常情景,充分考虑了可再生能源发电的时变特性和负荷需求,同时减轻了计算负担。为了解决两级混合整数问题,提出了一种基于差分进化(DE)和粒子群优化(PSO)的多子类分层混沌混合算法。修改后的IEEE-33总线基准分配系统用于研究所提出模型和混合算法的可用性和有效性。结果表明,该规划模型充分考虑了ESS的最优运行和不同作用,具有客观性和合理性。

著录项

获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号