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[1]蔡志远,戈阳阳,李洋,等.多微电源混合系统在微电网中最优定位和规划研究[J].电机与控制学报,2017,21(05):42-50.[doi:10. 15938 /j. emc. 2017. 05. 006]
 CAI Zhi-yuan,GE Yang-yang,LI Yang,et al.Optimal placement and schedule of hybrid energy management system in microgrid[J].,2017,21(05):42-50.[doi:10. 15938 /j. emc. 2017. 05. 006]
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多微电源混合系统在微电网中最优定位和规划研究(PDF)
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《电机与控制学报》[ISSN:1007-449X/CN:23-1 408/TM]

卷:
21
期数:
2017年05
页码:
42-50
栏目:
出版日期:
2018-04-20

文章信息/Info

Title:
Optimal placement and schedule of hybrid energy management system in microgrid
作者:
蔡志远1 戈阳阳12 李洋13 马少华1
 ( 1. 沈阳工业大学电气工程学院,辽宁沈阳110003; 2. 国网辽宁省电力有限公司电力科学研究院,辽宁沈阳110000; 3. 中国电力科学研究院,北京100192)
Author(s):
 CAI Zhi-yuan1 GE Yang-yang1 LI Yang13 MA Shao-hua1
 ( 1. Shenyang University of Technology,Shenyang 110003,China; 2. State Grid Liaoning Electric Power Research Insitute,Shenyang 110000,China; 3. China Electric Power Research Institute,Beijing 100192,China)
关键词:
分布式电源 微电网 混合供电系统 切负荷 人工蜂群算法
Keywords:
distributed generation microgrid hybrid energy systems load shedding artificial bee colony
分类号:
TM 312
DOI:
10. 15938 /j. emc. 2017. 05. 006
文献标志码:
A
摘要:
 合理利用多种形式能源为负荷供电可以有效提高微电网运行经济和可靠性,然而目前微电源的前期选址定容和后期优化运行均孤立考虑,为了充分发挥其灵活供电能力,提出一种基于光伏、电池组以及柴油发电机的混合供电系统规划策略。首先,给出了光伏-电池组-柴油发电机混合
供电系统能量运行方式,提高其运行经济性和灵活性; 其次,提出了综合考虑多电源定位规划和运行优化的多目标优化模型,不仅减小总投资、运行维护成本、上级电网输送功率引起的网损及紧急情况引起的切负荷发生概率,同时可以使剩余能量反送给上级电网; 最后,给出了基于粒子群优化人工蜂群算法改进求解方法,有效提高收敛速度。仿真结果证明,所提出的规划策略可显著提高微电网运行的经济性和可靠性。
Abstract:
Reasonable control of multiple energy forms for load power supply can effectively improve economy and reliability of microgrid( MG) operation,however, these two problems of siting hybrid energy systems( HEMS) and scheduling them are separately solved. In order to optimize flexible power supply capacity, a n algorithm was put forward to solve the problem of allocation and schedule of multiple hybrid photovoltaic ( PV) -diesel distributed generation( DG) in distribution systems optimally. Firstly,an energy control method of HEMS was presented to improve efficiency and flexibility of MG operation; Secondly,an optimization problem was formulated considering not only to reduce the total investment,operation maintenance cost,network loss caused by imported power from the transmission grid,and un-served load in case of emergency,but also to maximize the excess generated power by the HEMS that may be injected into the distribution network; Finally,an improved artificial bee colony ( ABC) based on particle swarm optimization( PSO) was put forward to increase convergence speed. Simulation results show that the presented control method improves the economy of MG operation and reliability significantly.

参考文献/References:

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备注/Memo

备注/Memo:
 收稿日期: 2016 - 03 - 01
基金项目: 国家863 计划项目( 2015AA050403) ; 国家电网公司科技项目( 广域分布式电源动态管控与运行分析关键技术研究与开发)
作者简介: 蔡志远( 1962—) ,男,博士,教授,博士生导师,研究方向为智能电器控制、风力发电及其控制;
戈阳阳( 1983—) ,男,博士研究生,研究方向为清洁能源并网、微电网运行关键技术;
李洋( 1982—) ,男,博士研究生,研究方向为配电网优化、智能电网技术研究;
马少华( 1963—) ,女,博士,教授,博士生导师,研究方向为智能化电器及微电网控制技术。
更新日期/Last Update: 2017-08-24