文章摘要
吴鸣,任学婧,周丹,等.新电改背景下产业园区供电系统容量优化配置方法[J].电力系统自动化,2018,42(5):2-8. DOI: 10.7500/AEPS20170808001.
WU Ming,REN Xuejing,ZHOU Dan, et al.Optimal Allocation Method for Capacity of Power Supply System in Industrial Park Under New Electricity Market Reform[J].Automation of Electric Power Systems,2018,42(5):2-8. DOI: 10.7500/AEPS20170808001.
新电改背景下产业园区供电系统容量优化配置方法
Optimal Allocation Method for Capacity of Power Supply System in Industrial Park Under New Electricity Market Reform
DOI:10.7500/AEPS20170808001
关键词: 多能互补  源—储—荷  容量优化配置  产业园区供电系统  日前分时电价  需求侧响应  电力需求弹性矩阵
KeyWords: multiple energies complementary  source-storage-load  optimal allocation of capacity  power supply system in industrial park  day-ahead time-of-use electricity price  demand side response  power demand elasticity matrix
上网日期:2017-11-14
基金项目:国家重点研发计划资助项目(2016YFB0900400)
作者单位E-mail
吴鸣 中国电力科学研究院有限公司, 北京市 100192  
任学婧 武汉大学电气工程学院, 湖北省武汉市 430072  
周丹 浙江工业大学信息工程学院, 浙江省杭州市 310023 ee_zhoudan@163.com 
苏剑 中国电力科学研究院有限公司, 北京市 100192  
寇凌峰 中国电力科学研究院有限公司, 北京市 100192  
梁惠施 中国电力科学研究院有限公司, 北京市 100192  
摘要:
      产业园区作为新一轮电力体制改革的重要试点,利用分布式新能源发电来替代传统的集中式供电模式是其供电系统发展的重要趋势之一。开展了产业园区供电系统规划中分布式电源/储能系统优化配置问题的研究,重点研究了多能互补、源—储—荷协调互动和基于日前分时电价的需求侧响应对于容量优化配置方案的影响。为了表征多能互补特性,提出了分布式电源供电电量不足比和分布式电源供电不足小时数比两个指标。在需求侧响应建模时,针对利用电力需求弹性矩阵建模存在着电量转移不平衡及需求侧过度响应等问题,提出了改进的需求侧响应模型。在此基础上,建立了以总费用最小为优化目标的产业园区供电系统分布式电源/储能系统优化配置模型,并利用遗传算法与模式搜索算法相结合的组合型智能算法对优化配置模型进行求解,最后利用典型算例对提出的优化配置方法进行了分析验证。
Abstract:
      Industrial parks, as the pilots of the new round of electricity market reform, have shown an important development trend of employing distributed generation instead of traditional centralized power supply. This paper studies the optimal allocation method of distributed generators and energy storage systems for the power supply system in industrial park, and focuses on the effect of multi-energies complementarity, source-storage-load coordination and demand side response based on day-ahead time-of-use electricity price. In order to characterize the complementary nature of multiple energies, two index of the ratio of distributed generators deficiency energy and the ratio of distributed generators deficiency hours are proposed. An improved demand side response model is proposed to solve the problems such as imbalance of power shifting and overwork of demand side response when power demand elasticity matrix is used. Furthermore, an optimal allocation model for distributed generators and energy storage systems for the power supply system is established, and the minimum cost is regarded as the optimization objective. A combinational intelligent algorithm based on genetic algorithm and pattern search algorithm is used to solve the optimal allocation model. Finally, a case of typical industrial park power supply system is given to validate the proposed method.
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