基于阶梯峰谷电价的微网柴油机组节能减排效益分析

XIE Xiang

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基于阶梯峰谷电价的微网柴油机组节能减排效益分析

更新时间：2025-08-13

- 基于阶梯峰谷电价的微网柴油机组节能减排效益分析
- Automation of Electric Power Systems Vol. 38, Issue 8, Pages: 1-6(2014)
- 作者机构：
  
  国网上海市电力公司浦东供电公司,上海市,200122
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2014
- 稿件说明：
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XIE Xiang. [J]. Automation of electric power systems, 2014, 38(8): 1-6.
DOI：

XIE Xiang. [J]. Automation of electric power systems, 2014, 38(8): 1-6. DOI：

摘要

提出了2种微网柴油机组的管理方式

综合考虑阶梯峰谷电价、不同类型负荷和分布式电源的时序特性、柴油机组运行特性

建立了用于微网柴油机组调度的优化模型。并以实际微网系统为例

分析了不同管理方式下的单位节能减排投资费用。采用粒子群算法对经济性相对较优的一种管理方式进行了优化

进一步降低了微网单位节能减排的投资费用。结果表明

柴油机组采用重要负荷缺额供电管理方式最优

可以为实际微网系统柴油机组建设容量及其管理方式提供参考。

Abstract

Two energy management modes for diesel generators (DGs) in microgrid are proposed

which takes into consideration the stepped time-of-use price

the timing sequence characteristics of different types of loads and distributed generators

and the operating characteristics of DGs. An optimization model used for dispatching diesel generators in the microgrid is developed. An actual microgrid is taken as an example to analyze the unit investment costs for energy-saving and emission reduction in different management modes. The particle swarm optimization (PSO) algorithm is employed to optimize the management mode with relatively better economy

further reducing the unit investment cost for energy-saving and emission reduction of microgrid. The results of a case study show that DG adopting the energy management of deficiency power supply to the important load is best so that it can provide a reference for optimal proportion of DG capacity and its energy management in the actual microgrid system.

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