文章摘要
田立亭,程林,李建林,等.考虑变工况特性的微能源系统优化规划:(二)优化模型及方法[J].电力系统自动化,2018,42(20):17-23. DOI: 10.7500/AEPS20180207006.
TIAN Liting,CHENG Lin,LI Jianlin, et al.Optimal Planning of a Micro-energy System Considering Off-design Performance Part Two Optimization Model and Method[J].Automation of Electric Power Systems,2018,42(20):17-23. DOI: 10.7500/AEPS20180207006.
考虑变工况特性的微能源系统优化规划:(二)优化模型及方法
Optimal Planning of a Micro-energy System Considering Off-design Performance Part Two Optimization Model and Method
DOI:10.7500/AEPS20180207006
关键词: 微能源系统  变工况  优化规划  分解方法
KeyWords: micro-energy system  off-design performance  optimal planning  decomposition method
上网日期:2018-09-04
基金项目:国家重点研发计划资助项目(2017YFB0903300);国家自然科学基金资助项目(51777105);国家电网公司科技项目“基于多能互补的微网规划与运行控制技术研究及应用”
作者单位E-mail
田立亭 电力系统及发电设备控制和仿真国家重点实验室, 清华大学, 北京市 100084
中国电力科学研究院有限公司, 北京市 100192 
tianliting@tsinghua.edu.cn 
程林 电力系统及发电设备控制和仿真国家重点实验室, 清华大学, 北京市 100084  
李建林 中国电力科学研究院有限公司, 北京市 100192  
郭剑波 中国电力科学研究院有限公司, 北京市 100192  
摘要:
      微能源系统包含多种能源转换和存储设备,各类设备的能源消耗具有显著的变工况特性。为了更准确考虑微能源系统的特征,基于微能源系统在变工况条件下的改进耦合关系模型,首先,以系统经济性为目标,建立微能源系统优化规划模型。然后,考虑系统新能源输入、负荷、外部环境的不确定性,建立多种变工况场景,同时利用分解方法将问题划分为设备容量配置主问题和多阶段设备功率分配子问题以降低求解的复杂性。最后,对微能源系统的优化规划问题进行案例计算,并分别在变工况模型和线性模型下对系统进行配置。结果表明设备变工况特性对系统规划结果有显著影响,需要在微能源系统设计中加以考虑,以实现系统合理配置、提高经济效益。
Abstract:
      A micro-energy system contains a variety of energy conversion and storage equipment. The energy consumption characteristics of energy conversion equipment usually strongly depends on the operation conditions. Based on the improved coupling model of micro energy system under different working conditions which describes characteristics of the system more accurately. Firstly, the optimal planning problem is modeled with an aim of system economy. Then, considering the uncertainties of renewable energy input, load and environmental factors, scenarios under variable off-design conditions are introduced. In order to reduce the complexity of the solution, the optimal problem is divided into master problem of equipment capacity configuration and primal problem of multistage power allocation by decomposition method. Finally, a micro-energy system which involves electricity, natural gas, and heat is configured under the proposed model and the linear model respectively. The result shows that the off-design conditions of the equipment has a significant effect on the system planning result, and it needs to be considered in the planning and design of the microgrid in order to achieve reasonable configuration and improve economic efficiency.
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