Optimal Operation of Microgrid Considering Demand Side Management

doi:10.7652/xjtuxb201306016

您当前的位置：

首页 >

文章列表页 >

Optimal Operation of Microgrid Considering Demand Side Management

更新时间：2025-05-01

- Optimal Operation of Microgrid Considering Demand Side Management
- Vol. 47, Issue 6, Pages: 90-96(2013)
- 作者机构：
  
  西安交通大学电气工程学院,西安,710049
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb201306016
  CLC： F123.9;TM73
- Online First：10 June 2013，
  
  Published：2013
- 稿件说明：
移动端阅览
Optimal Operation of Microgrid Considering Demand Side Management[J]. 2013, 47(6): 90-96.
DOI：

Optimal Operation of Microgrid Considering Demand Side Management[J]. 2013, 47(6): 90-96. DOI： 10.7652/xjtuxb201306016.

摘要

建立了考虑需求侧管理的微网经济优化模型。将微网的电力负荷分为3个部分:固定负荷、可转移负荷、随机负荷

其中可转移负荷的管理是需求侧管理的主要内容

也是微网经济优化运行的重要目标。在分时电价的环境下

建立了微网中分布式电源与需求侧负荷优化管理的协调运行模型。通过函数线性化将该优化问题转化为一个混合整数规划问题

采用专业混合整数规划软件求解。仿真结果表明

考虑需求侧管理的微网经济运行相比不考虑时的总费用减少了3.83%

具有较好的经济效益。

Abstract

An economic scheduling model for a microgrid is proposed by considering demand side management. Three types of loads

i.e.

fixed

transferable

and user-action loads

are considered

and the management of transferable load is especially significant in the demand side management. In the case of time-of-use price

the formula of demand side management is described

and the harmonization scheduling model of the distributed generations with demand management is established. Function linearization facilitates converting the optimization case into a mixed-integer linear programming

and a commercial mixed-integer linear programming software is applied to solve the programming problem. The numerical tests for a microgrid indicate that with demand side management consideration

the total cost reduces by 3.83%.

关键词

Keywords

references

GUERRERO J M. Microgrids: integration of distributed energy resources into the smart-grid [C]∥2010 IEEE International Symposium on Industrial Electronics. Piscataway, NJ, USA: IEEE, 2010: 4281-4414.

黄宇淇, 方宾义, 孙锦枫. 飞轮储能系统应用于微网的仿真研究 [J]. 电力系统保护与控制, 2011, 39(9): 83-87.

HUANG Yuqi, FANG Binyi, SUN Jinfeng. Simulation research on the microgrid with flywheel energy storage system [J]. Power System Protection and Control, 2011, 39(9): 83-87.

HATZIARGYRIOU N, ASANO H, IRAVANI R, et al. Microgrids [J]. IEEE Power and Energy Magazine, 2007, 5(4): 78-94.

HRISTIYAN K, LU Di, COLAS F, et al. Energy management and operational planning of a microgrid with a PV-based active generator for smart grid applications [J]. IEEE Transactions on Industrial Electronics, 2011, 58(10): 4583-4592.

董军, 张婧, 陈小良, 等. 考虑需求侧响应的短期阻塞管理模型与激励机制研究 [J]. 电力系统保护与控制, 2010, 38(3): 24-28.

DONG Jun, ZHANG Jing, CHEN Xiaoliang, et al. Study on short-run congestion management model and incentive mechanism considering demand response [J]. Power System Protection and Control, 2010, 38(3): 24-28.

向月, 刘俊勇, 魏震波, 等. 可再生能源接入下新型可中断负荷发展研究 [J]. 电力系统保护与控制, 2012, 40(5): 148-155.

XIANG Yue, LIU Junyong, WEI Zhenbo, et al. Research on development of new interruptible load with renewable energy access [J]. Power System Protection and Control, 2012, 40(5): 148-155.

TSIKALAKIS A G, HATZIARGYRION N D. Centralized control for optimizing microgrids operation [J]. IEEE Trans on Energy Conversion, 2008, 23(1): 241-248.

PALMA-BEHNKE R, BENAVIDES C, ARANDA E, et al. Energy management system for a renewable energy based microgrid with a demand side management mechanism [C] ∥IEEE Symposium on Computational Intelligence Applications in Smart Grid. Piscataway, NJ, USA: IEEE, 2011: 1-8.

艾欣, 崔明勇, 雷之力. 基于粒子群优化算法的含多种供能系统的微网经济优化运行分析 [J]. 华北电力大学学报, 2009, 36(5): 1-6.

AI Xin, CUI Mingyong, LEI Zhili. Environmental and economic dispatch of microgrid using chaotic ant swarm algorithms [J]. Journal of North China Electric Power University, 2009, 36(5): 1-6.

丁明, 张颖媛, 茆美琴, 等. 集中控制式微网系统的稳态建模与运行优化 [J]. 电力系统自动化, 2009, 33(24): 78-82.

DING Ming, ZHANG Yingyuan, MAO Meiqin, et al. Steady model and operation optimization for microgrids under centralized control [J]. Automation of Electric Power Systems, 2009, 33(24): 78-82.

牛铭, 黄伟, 郭佳欢, 等. 微网并网时的经济运行研究 [J]. 电网技术, 2010, 34(11): 38-42.

NIU Ming, HUANG Wei, GUO Jiahuan, et al. Research on economic operation of grid connected microgrid [J]. Power System Technology, 2010, 34(11): 38-42.

丁明, 张颖媛, 茆美琴, 等. 包含钠硫电池储能的微网系统经济运行优化 [J]. 中国电机工程学报, 2011, 31(4): 7-14.

DING Ming, ZHANG Yingyuan, MAO Meiqin, et al. Economic operation optimization for microgrids including Na/S battery storage [J]. Proceedings of the CSEE, 2011, 31(4): 7-14.

陈伟, 石晶, 任丽, 等. 微网中的多元复合储能技术 [J]. 电力系统自动化, 2010, 34(1): 112-115.

CHEN Wei, SHI Jing, REN Li, et al. Composite usage of muti-type energy storage technologies in microgrid [J]. Automation of Electric Power Systems, 2010, 34(1): 112-115.

KATIRAEI F, IRAVANI R, HATZIARGYRIOU N, et al. Microgrids management [J]. IEEE Power and Energy Magazine, 2008, 6(3): 54-65.

胡江溢, 王鹤, 周昭茂. 电力需求侧管理的国际经验及对我国的启示 [J]. 电网技术, 2007, 31(18): 10-14.

HU Jiangyi, WANG He, ZHOU Zhaomao. International experience of power demand side management and enlightenment to China [J]. Power System Technology, 2007, 31(18): 10-14.

CHOI S J, PARK S J, KANG D J, et al. A microgrid energy management system for inducing optimal demand response [C] ∥IEEE International Conference on Smart Grid Communications. Piscataway, NJ, USA: IEEE, 2011: 19-24.

CAMPANARI S, MACCHI E. Technical and tariff scenarios effect on microturbine trigenerative applications [J]. Journal of Engineering for Gas Turbines and Power, 2004, l26(3): 581-589.

PANDIAN M S, ANWARI M, HUSODO B Y, et al. Efficiency and economics analysis of proton exchange membrane fuel cell [C]∥2010 Conference Proceedings in IPEC. Piscataway, NJ, USA: IEEE, 2010: 875-880.

李乐. 微网的经济运行研究 [D]. 北京: 华北电力大学, 2011.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

A Fast Calculation Method for Thermal Flow Fields in Transformer Windings Based on PI-DeepONet

Integrated and Joint Design Optimization of Centrifugal Compressor Impeller and Casing Treatment at Multiple Working Points

Influence of Structural Parameters on the Summer Operational Characteristics of a Three-Tower-in-One Indirect Air-Cooling System

Windage Loss and Flow Characteristics in Impeller Back Gaps of sCO2 Radial Inflow Turbines

Knowledge Graph Representation Learning Driven by Semantic Discrimination and Subgraph Integration

Related Author

No data

Related Institution

No data

⁰