文章摘要
张伊宁,何宇斌,晏鸣宇,等.计及需求响应与动态气潮流的电-气综合能源系统优化调度[J].电力系统自动化,2018,42(20):1-8. DOI: 10.7500/AEPS20180128005.
ZHANG Yining,HE Yubin,YAN Mingyu, et al.Optimal Dispatch of Integrated Electricity-Natural Gas System Considering Demand Response and Dynamic Natural Gas Flow[J].Automation of Electric Power Systems,2018,42(20):1-8. DOI: 10.7500/AEPS20180128005.
计及需求响应与动态气潮流的电-气综合能源系统优化调度
Optimal Dispatch of Integrated Electricity-Natural Gas System Considering Demand Response and Dynamic Natural Gas Flow
DOI:10.7500/AEPS20180128005
关键词: 电-气综合能源系统  需求响应  动态特性  严格锥松弛  分时价格  日前调度
KeyWords: integrated electricity-natural gas system  demand response  dynamic characteristic  exact cone relaxation  time-of-use price  day-ahead dispatch
上网日期:2018-08-21
基金项目:国家自然科学基金资助项目(51537010);浙江省自然科学基金(LZ14E070001);国家电网公司科技项目(XT71-16-053)“特高压交直流电网系统保护顶层设计研究”
作者单位E-mail
张伊宁 浙江大学电气工程学院, 浙江省杭州市 310027  
何宇斌 浙江大学电气工程学院, 浙江省杭州市 310027 heyubin@zju.edu.cn 
晏鸣宇 华中科技大学电气与电子工程学院, 湖北省武汉市 430074  
郭创新 浙江大学电气工程学院, 浙江省杭州市 310027  
马世英 电网安全与节能国家重点实验室(中国电力科学研究院有限公司), 北京市 100192  
宋墩文 电网安全与节能国家重点实验室(中国电力科学研究院有限公司), 北京市 100192  
摘要:
      文中提出了一种考虑需求侧负荷响应及动态天然气潮流的电-气综合能源系统优化调度新模型。一方面,该模型融入能源需求响应以优化次日的电、气负荷曲线,发挥不同能源间的互补共济作用,提升系统运行效率。引入价格型和替代型两类响应对需求侧响应进行精细化描述,前者表现价格引导的同类能源需求在不同时间点间的转移作用,后者表现不同能源需求在同时间点上的互补替代效应。另一方面,该模型考虑复杂动态天然气潮流方程以描述系统运行状态。为求解此强非凸非线性模型,将原问题松弛为可直接求解的二阶锥凸优化问题,并采用连续锥优化方法保证松弛的严格性。仿真结果表明,需求响应的引入可提升综合能源系统运行的经济性。与稳态天然气潮流相比,动态天然气潮流可更准确地反映天然气系统的动态发展过程。
Abstract:
      This paper presents a novel optimal dispatch model of integrated electricity-natural gas system(IEGS)considering demand response and dynamic natural gas flow. On the one hand, energy demand response is included into the proposed model to smooth out day-ahead load curves of electricity and gas, which can improve system efficiency by utilizing the complementary characteristic between different types of energy. Demand side response is detailedly described by price-based and alternative response. The former is used to denote the transfer effect of the same kind of energy among different time periods based on price guidance, while the latter is used to denote the substitution of different kinds of energy at the same time. On the other hand, complicated dynamic natural gas flow function is considered in the proposed model to describe the operation status of the system. The primal operation nonlinear nonconvex model is relaxed into second-order cone programming, which can be directly solved, and the sequential cone programming method is applied to guarantee the strictness of the relaxation. Simulation tests validate that demand response can improve the operational efficiency of IEGS. Compared to the steady-state model, dynamic model can better describe the dynamic process of natural gas network.
查看全文(Free!)   查看附录   查看/发表评论  下载PDF阅读器