考虑主动管理的分布式光伏发电消纳能力研究

doi:10.3969/j.issn.1000-7229.2016.01.021

电力建设 ›› 2016, Vol. 37 ›› Issue (1): 137-143.doi: 10.3969/j.issn.1000-7229.2016.01.021

• 发电技术 • 上一篇

考虑主动管理的分布式光伏发电消纳能力研究

栾伟杰1，蒋献伟2，张节潭3，程浩忠1，孙诗航4，黄国樑5

1. 上海交通大学电力传输与功率变换控制教育部重点实验室，上海市 200240；2.国网上海市电力公司青浦供电公司，上海市 201700；3.国网青海省电力科学试验研究院，西宁市810008；4.上海电力学院电气工程学院，上海市200090；5.国网上海市电力公司培训中心，上海市 200090

出版日期:2016-01-01
作者简介:栾伟杰（1991），男，硕士研究生，研究方向为配电网规划、配电网运行优化；蒋献伟（1979）男，硕士研究生，从事调控、继电保护整定工作；张节潭（1980），男，博士，高级工程师，研究方向为电力系统规划；程浩忠（1962），男，博士，教授，博士生导师，研究方向为电能质量、电力系统规划、电力系统分析、电压稳定；孙诗航（1992），男，本科生在读，研究方向为分布式的能源；黄国樑（1959），男，工程师，研究方问为行业教育概率、环境、教育产品状况、教育趋势对策。
基金资助:
国网青海省电力公司科技项目（主动配电网中分布式光伏发电最大消纳能力研究）；国网上海市电力公司青浦供电公司科技项目（青浦分布式能源应用对于电力传统安全管理的影响及应对策略）

Consumptive Ability Analysis for Distributed Photovoltaic Generation Considering Active Management

LUAN Weijie1,JIANG Xianwei2,ZHANG Jietan3, CHENG Haozhong1, SUN Shihang4,HUANG Guoliang5

1. Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China；2. Qingpu Power Supply Branch, State Grid Shanghai Municipal Electric Power Company, Shanghai 201700, China；3. State Grid Qinghai Electric Power Research and Test Institute, Xining 810008, China；4. College of Electric Engineering, Shanghai University of Electric Power, Shanghai 200438, China；5. Training Center, State Grid Shanghai Municipal Electric Power Company, Shanghai 200438, China

Online:2016-01-01

摘要/Abstract

摘要：

随着分布式光伏接入配电网逐渐增多，其消纳能力越来越受到人们关注。文章对考虑主动管理的分布式光伏消纳能力进行了研究，提出了主动配电网中分布式光伏发电最大消纳量的计算方法。在分析分布式光伏发电和负荷的时序特性的基础上，提出了综合考虑混沌思想和自适应度调整的改进粒子群算法，研究了削减分布式电源出力、调节有载调压变压器抽头、无功补偿等主动管理措施对分布式光伏最大消纳量的影响。IEEE 33节点配网系统验证了所提模型的合理性和算法的有效性，3种主动管理措施能有效提高分布式光伏的最大消纳量。

关键词: 分布式光伏发电, 主动配电网, 光伏消纳, 时序特性, 改进粒子群算法

Abstract:

With the distributed photovoltaic generation connected to distribution network gradually increases, its consumptive ability has been paid more and more attention. This paper studies the consumptive ability of distributed photovoltaic generation with considering active management, and proposes the maximum consumption calculation method of distributed photovoltaic generation in active distribution network. Based on the analysis on the timing characteristics of distributed photovoltaic generation and load, we propose the improved particle swarm optimization algorithm with comprehensively considering chaos theory and adaptive adjustment, and study the influence of some active management measures on the maximum consumption of distributed photovoltaic generation, such as distributed power output curtailment, on-load tap changing transformer regulation, reactive power compensation and so on. IEEE 33 node distribution network system verifies the rationality of the proposed model and the effectiveness of the algorithm, and the three active management measures can effectively improve the maximum consumption of distributed photovoltaic generation.

Key words: distributed photovoltaic generation, active distribution network, photovoltaic consumption, timing characteristics, improved particle swarm optimization algorithm

中图分类号:

TM 711

栾伟杰，蒋献伟，张节潭，程浩忠，孙诗航，黄国樑. 考虑主动管理的分布式光伏发电消纳能力研究[J]. 电力建设, 2016, 37(1): 137-143.

LUAN Weijie,JIANG Xianwei,ZHANG Jietan, CHENG Haozhong, SUN Shihang,HUANG Guoliang. Consumptive Ability Analysis for Distributed Photovoltaic Generation Considering Active Management[J]. Electric Power Construction, 2016, 37(1): 137-143.

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考虑主动管理的分布式光伏发电消纳能力研究

Consumptive Ability Analysis for Distributed Photovoltaic Generation Considering Active Management

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