| 引用本文: | 夏永洪,吴虹剑,辛建波,程林,余运俊,万晓凤.考虑风/光/水/储多源互补特性的微网经济运行评价方法[J].电力自动化设备,2017,37(7): |
| XIA Yonghong,WU Hongjian,XIN Jianbo,CHENG Lin,YU Yunjun,WAN Xiaofeng.Evaluation of economic operation for microgrid with complementary DGs and energy storage[J].Electric Power Automation Equipment,2017,37(7): |
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| 摘要: |
| 针对风能、太阳能短期波动大，水能短期波动小的特点，通过分析风、光、水资源之间的互补特性，提出了一种包含风、光、水、储的互补微网优化配置方法，建立了互补特性对微网经济运行影响的评价体系。该方法以储能容量、微网设备安装成本与系统运行维护成本为目标，以系统容量、分布式发电比例与蓄电池充放电特性为约束，基于自适应遗传算法，得到最优风、光、水等分布式电源容量以及该条件下的储能系统配置容量。通过灵活调整分布式电源组合方式及分布式发电比例，得到不同配置下的储能系统配置容量及微网经济运行评价指标。结果表明：当风、光、水3种分布式电源出力具有互补性时，系统储能容量明显减小，同时微网经济效益达到最优。 |
| 关键词: 微网 遗传算法 储能容量 互补特性 经济效益 分布式电源 |
| DOI：10.16081/j.issn.1006-6047.2017.07.010 |
| 分类号:TM761 |
| 基金项目:国际科技合作专项(2014DFG72240)；国家电网公司总部科技项目(52182013000V)；南昌大学研究生创新专项资金资助项目(cx2015135) |
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| Evaluation of economic operation for microgrid with complementary DGs and energy storage |
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XIA Yonghong1,2, WU Hongjian1, XIN Jianbo2, CHENG Lin3, YU Yunjun1, WAN Xiaofeng1
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1.School of Information Engineering, Nanchang University, Nanchang 330031, China;2.State Grid Jiangxi Electric Power Research Institute, Nanchang 330096, China;3.State Key Laboratory of Control and Simulation of Power System and Generation Equipments, Tsinghua University, Beijing 100084, China
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| Abstract: |
| Since the wind and solar energy sources have high short-term fluctuation while the hydraulic energy source has small short-term fluctuation, the complementary relationships among them are analyzed, an optimal configuration method is proposed for the microgrid with complementary DGs(Distributed Generations) and energy storage, and an evaluation system is built to assess the influence of its complementary performance on the economic operation of microgrid. The proposed method sets the capacity of energy storage system, the installation cost of microgrid devices and the cost of system operation and maintenance as the objectives, takes the system capacity, the proportion of DG and the charge/discharge characteristics of battery as the constraints, and applies the adaptive genetic algorithm to obtain the optimal capacities of DGs and the related capacity of energy storage system. The capacity of energy storage system and the evaluation index of economic operation for a certain configuration can be obtained by flexibly adjusting the combination mode and proportion of DGs. Results show that: when the power outputs of DGs, such as wind, solar and hydraulic are complementary, the capacity of energy storage system is significantly reduced and the economic benefit of microgrid is optimal. |
| Key words: microgrid genetic algorithms energy storage capacity complementary characteristics economic benefit distributed power generation |
