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风光气供能系统优化配置及技术经济分析 被引量:3

Optimal Configuration and Technical-economic Analysis of Wind Energy Solar Energy and Natural Gas Energy Supply System
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摘要 本文以某居民楼为研究对象,构建风、光、天然气互补的冷热电三联供系统。利用DeST软件模拟用户全年逐时冷、热、电负荷,按照负荷规律将全年划分为供暖期、供冷期和过渡期三个阶段。引入差分进化算法,从能源、经济和环境三个方面对装机容量配置和设备出力配置进行多目标优化。计算优化配置模型的项目收益率及回收期,并进行敏感性分析。研究表明,与传统供能系统相比,所得配置模型下的系统能源利用率更高,具有较好的经济和环境效益。 This paper takes a residential building as the research object and constructs a combined cooling,heating and power system with complementary wind,solar and natural gas.The DeST software is used to simulate the user's hourly cooling,heating,and electric loads throughout the year,and the whole year is divided into three stages:heating period,cooling period and transition period according to the load law.The differential evolution algorithm is introduced to optimize the configuration of installed capacity and equipment output from the three aspects of energy,economy and environment.The project return rate and payback period of the optimized configuration model is calulated,and sensitivity analysis is conducted.The research shows that compared with the traditional energy supply system,the system energy utilization rate under the obtained configuration model is higher,and it has better economic and environmental benefits.
作者 陈孟石 杜传铭 杜尚斌 宿凤明 赵义军 张雪 CHEN Meng-shi;DU Chuan-ming;DU Shang-bin;SU Feng-ming;ZHAO Yi-jun;ZHANG Xue(School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China;State Power Investment Corporation Power Station Operation Technology (Beijing) Co., Ltd., Beijing 102209, China;93015 Troops, Harbin 150046, China)
出处 《节能技术》 CAS 2022年第1期17-24,共8页 Energy Conservation Technology
关键词 冷热电三联供 多能互补 多目标优化 差分进化算法 技术经济分析 distributed energy system multi-objective theory differential evolution algorithm technical economic analysis
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  • 1丁明,吴义纯,张立军.风电场风速概率分布参数计算方法的研究[J].中国电机工程学报,2005,25(10):107-110. 被引量:218
  • 2杨文佳,康重庆,夏清,刘润生,唐涛南,王鹏,张丽.基于预测误差分布特性统计分析的概率性短期负荷预测[J].电力系统自动化,2006,30(19):47-52. 被引量:42
  • 3王乐,余志伟,文福拴.基于机会约束规划的最优旋转备用容量确定[J].电网技术,2006,30(20):14-19. 被引量:78
  • 4鲁宗相,王彩霞,闵勇,周双喜,吕金祥,王云波.微电网研究综述[J].电力系统自动化,2007,31(19):100-107. 被引量:929
  • 5Asmus P. Microgrids, virtual power plants and our distributed energy future[J]. The Electricity Journal, 2010, 23(10): 72-82.
  • 6Pudjianto D, Ramsay C, Strbac G. Virtual power plant and system integration of distributed energy resources[J]. IET Renewable Power Generation, 2007(1): i0-16.
  • 7Nikonowicz L B, Milewski J. Virtual power plants-general review: structure, application and optimisation[J]. Journal of Power Technologies, 2012, 92(3): 135-149.
  • 8Molderink A, Bakker V, Bosman M G C, et al. Management and control of domestic smart grid technology[J]. IEEE Trans on Smart Grid, 2010, 1(2): 109-119.
  • 9Giuntoli M, Poli D. Optimized thermal and electrical scheduling of a Large Scale Virtual Power Plant in the presence of energy storages[J]. IEEE Trans on Smart Grid, 2013, 4(2): 942-955.
  • 10Vasirani M, Kota R, Cavalcante R L G, et al. An agent- based approach to virtual power plants of wind power generators and electric vehicles[J]. IEEE Trans on Smart Grid, 2013, 4(3): 1314-1322.

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