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基于低碳效益的微电网能量优化调度 被引量:4

Energy Optimization Scheduling Model of the Micro-grid Reflect Low-carbon Benefits
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摘要 根据微电网中各分布式电源(DG)的特点,综合考虑各DG的安装、运行、维护成本、碳排放治理成本以及风电、光伏补贴等,分别构建各微源的低碳综合成本模型,在满足系统约束的条件下,提出一种计及微电网低碳效益的能量优化调度模型。深入挖掘微电网的低碳效益,确定微电网优化调度运行策略,依据构建的调度模型,应用混沌粒子群算法(CPSO)解决各个实用的运行策略中的优化调度问题。通过仿真验证了模型和算法的有效性,并对各运行策略及大电网供电对比分析,证实微电网的低碳效益明显。 According to the characteristics of distributed generation,considering the costs of installation,operation,maintenance and carbon emissions governance about each distributed resource,as well as the subsidies of wind power and solar energy,the lower carbon comprehensive cost model is constructed and an energy optimization scheduling model is proposed,considering the low- carbon benefits of micro- grid under conditions of constraint. The optimal scheduling strategy of micro- grid is determined through in- depth excavation of its low carbon benefits and finally according to the construction scheduling model,the CPSO method is used to solve problems existed. The simulation results have verified the usefulness of the model and algorithm,through the analysis of comparison about each operation strategies and the purchase of electricity from power grid,it is finally confirmed the obvious low- carbon benefit of micro- grid.
出处 《工业安全与环保》 北大核心 2016年第9期91-94,共4页 Industrial Safety and Environmental Protection
基金 上海市教委科研创新重点项目(14ZS146) 上海市哲学社会科学规划课题(2013BGL016) 上海高校内涵建设085工程项目"面向智能电网的能源电力专业与学科群建设" 上海高校人文社会科学重点研究基地建设项目(WKJD15004) 中国工程院咨询研究重点项目(2016-XZ-29)
关键词 微电网 低碳效益 优化调度 micro-grid low carbon benefits optimal scheduling
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参考文献4

  • 1Noel Augustine, Sindhu Suresh, Prajakta Moghe, et al. Eco- nomic dispatch for a microgrid considering renewable energy cost functions [J]. Innovative Smart Grid Technologies, 2012, 1 (7) : 16 - 20.
  • 2N Khalesi, N Rezaei, M R Haghifam. DG allocation with appli- cation of dynamic programming for loss reduction and reliability improvement [J]. International Journal of Electrical Power & Energy Systems, 2011,33(2) :288 - 295.
  • 3L Valverde , F Rosa and C Bordons. Design, planning and management of a hydrogen- based microgrid [J]. IEEE Trans- actions on Industrial Inforrnatics, 2013,9(3):1398- 1404.
  • 4赵波,薛美东,陈荣柱,林世溪,刘海涛.高可再生能源渗透率下考虑预测误差的微电网经济调度模型[J].电力系统自动化,2014,38(7):1-8. 被引量:59

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