Hierarchical and distributed optimization of energy management for microgrid

被引：5

作者：

Hao, Yuchen ^{[1
]}

Dou, Xiaobo ^{[1
]}

Wu, Zaijun ^{[1
]}

Hu, Minqiang ^{[1
]}

Sun, Chunjun ^{[2
]}

Li, Tao ^{[2
]}

Zhao, Bo ^{[3
]}

机构：

[1] School of Electrical Engineering, Southeast University

[2] Jiangsu Electric Power Design Institute

[3] Zhejiang Electric Power Test and Research Institute

来源：

Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2014年 / 34卷 / 01期

关键词：

Energy management; Hierarchical and distributed optimization; Microgrid; Models; Multi Agent systems;

D O I：

10.3969/j.issn.1006-6047.2014.01.026

中图分类号：

学科分类号：

摘要：

A hierarchical and distributed optimization of energy management is proposed based on multi Agent system for microgrid, which takes the economy, environmental protection and power-supply reliability as its objectives. It converts the traditional centralized energy optimization into four sub-optimizations: the distributed computing of micro-sources to refine the domain of each variable, the GA-based optimization of central controller, the distributed parallel regulation to modify the optimization solution and the global coordination to generate the final solution, in which, the operational features and control objectives of different micro-sources are implemented as constraints. The special tasks of diverse Agents and the collaborative relationship among them are described respectively for the single-objective and multi-objective optimizations of microgrid. A microgrid optimization model for next 24 hours is built based on MATLAB and JADE. Numerical results demonstrate that, the proposed strategy of hierarchical and distributed optimization has higher optimization efficiency and better optimization results, weakening the dependence on the performance of central controller.

引用

页码：154 / 162

页数：8

共 25 条

[1]

Cao X., Ju P., Cai C., Simulative analysis and equivalent reduction for microgrid, Electric Power Automation Equipment, 31, 5, pp. 94-98, (2011)

[2]

Chen D., Zhu G., An investigation on optimal load distribution of microgrids, Automation of Electric Power Systems, 34, 20, pp. 45-49, (2010)

[3]

Qian K., Yuan Y., Shi X., Et al., Environmental benefits analysis of distributed generation, Proceedings of the CSEE, 28, 29, pp. 11-15, (2008)

[4]

Ding M., Zhang Y., Mao M., Et al., Economic operation optimization for microgrids including Na/S battery storage, Proceedings of the CSEE, 31, 4, pp. 7-14, (2011)

[5]

Shi Q., Geng G., Jiang Q., Real-time optimal energy dispatch of standalone microgrid, Proceedings of the CSEE, 32, 16, pp. 26-35, (2012)

[6]

Conti S., Nicolosi R., Rizzo S.A., Et al., Optimal dispatching of distributed generators and storage systems for MV islanded microgrids, IEEE Transactions on Power Delivery, 27, 3, pp. 1243-1251, (2012)

[7]

Zhang H., Distributed generation planning based on a modified multi-population genetic algorithm in distributed networks, (2011)

[8]

Wang X., Ai Q., Xu W., Et al., Multi-objective optimal energy management of microgrid with distributed generation, Power System Protection and Control, 37, 20, pp. 79-83, (2009)

[9]

Wang S., Wang H., Cai S., A review of optimization allocation of distributed generations embedded in power grid, Automation of Electric Power Systems, 33, 18, pp. 110-115, (2009)

[10]

Kanchev H., Lu D., Colas F., Et al., Energy management and operational planning of a microgrid with a PV-based active generator for smart grid applications, IEEE Trans on Industrial Electronics, 58, 10, pp. 4583-4592, (2011)

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