Station-Network Cooperative Optimization of Integrated Energy System for Park Considering Source-Load Interaction

Wei HUANG; Siqi LIU; bo YE

doi:10.7500/AEPS20190521003

您当前的位置：

首页 >

文章列表页 >

Station-Network Cooperative Optimization of Integrated Energy System for Park Considering Source-Load Interaction

Basic Research | 更新时间：2025-06-16

- Station-Network Cooperative Optimization of Integrated Energy System for Park Considering Source-Load Interaction
- Automation of Electric Power Systems Vol. 44, Issue 14, Pages: 44-53(2020)
- 作者机构：
  
  华北电力大学电气与电子工程学院，北京市 102206
- 作者简介：
- 基金信息：
- DOI：10.7500/AEPS20190521003
  CLC：
- Received：21 May 2019，
  
  Revised：2019-08-14，
  
  Published Online：07 February 2020，
  
  Published：25 July 2020
- 稿件说明：
移动端阅览
黄伟,柳思岐,叶波.考虑源-荷互动的园区综合能源系统站-网协同优化[J].电力系统自动化,2020,44(14):44-53.

HUANG Wei,LIU Siqi,YE bo.Station-Network Cooperative Optimization of Integrated Energy System for Park Considering Source-Load Interaction[J].Automation of Electric Power Systems,2020,44(14):44-53.
黄伟,柳思岐,叶波.考虑源-荷互动的园区综合能源系统站-网协同优化[J].电力系统自动化,2020,44(14):44-53. DOI： 10.7500/AEPS20190521003.

HUANG Wei,LIU Siqi,YE bo.Station-Network Cooperative Optimization of Integrated Energy System for Park Considering Source-Load Interaction[J].Automation of Electric Power Systems,2020,44(14):44-53. DOI： 10.7500/AEPS20190521003.

摘要

建立了园区综合能源系统站-网协同优化双层模型，上层模型采用改进的

-中位模型，决策变量为能源站位置、容量及网架结构；下层模型考虑电、热负荷的需求响应特性，以电-热-气混合潮流为支撑，将可中断负荷与能源站进行协同调度。采用贪婪-变邻域蛛网算法求解上层模型，高效且可得到全局最优解；利用二阶锥松弛技术，将含有非凸气流约束的非线性规划问题转化为二阶锥规划问题，并采用凸-凹步骤法恢复解的确切性。通过算例表明，考虑源荷互动，可以有效降低系统的运行成本，并且使规划出的能源站容量更加经济合理。

Abstract

A two-level model of station-network cooperative optimization of integrated energy system for park is established. The upper-level model is an improved

-median model

and the decision variables are the location and capacity of energy stations and network layout. Considering the demand response characteristics of electric and heat loads

the lower model coordinates the scheduling of interruptible load and the energy station supported by the power-heat-gas multi-energy flow. The greedy-variable neighborhood-cobweb (GVNC) algorithm is used to solve the upper model

which can improve the computational efficiency and obtain the global optimal solution. Second-order cone relaxation (SOCR) is used to transform the non-linear programming problem which contains the constraint of non-convex gas flow into a second-order cone programming (SOCP) problem which is easy to solve. Convex-concave procedure （CCP） is used to solve the problem of accuracy recovery after relaxation. The example shows that considering the influence of source-load interaction

the operation cost of the system can be effectively reduced

and the planned capacity of the energy station can be more economical and reasonable.

关键词

Keywords

references

王仲颖 . 推进能源生产和消费革命构建清洁低碳、安全高效的能源体系 [J]. 中国经贸导刊 , 2018 ( 7 ): 24 - 25 .

WANG Zhongying . Promoting the energy production and consumption revolution and building a clean, low-carbon, safe and efficient energy system [J]. China Economic and Trade Guide , 2018 ( 7 ): 24 - 25 .

严超 , 别朝红 , 王灿 , 等 . 面向新一代能源系统的风险评估研究现状及展望 [J]. 电网技术 , 2019 , 43 ( 1 ): 11 - 22 .

YAN Chao , BIE Zhaohong , WANG Can , et al . Research status and prospect of risk assessment for new generation energy system [J]. Power System Technology , 2019 , 43 ( 1 ): 11 - 22 .

INSU K , JEAN A J , CRITTENDEN J . The case study of combined cooling heat and power and photovoltaic systems for building customers using HOMER software [J]. Electric Power Systems Research , 2017 , 143 ( 2 ): 490 - 502 .

吴聪 , 唐巍 , 白牧可 , 等 . 基于二层规划的用户侧能源互联网规划 [J]. 电工技术学报 , 2017 ， 32 ( 21 ): 126 - 135 .

WU Cong , TANG Wei , BAI Muke , et al . User-side energy internet planning based on bilevel programming [J]. Transactions of China Electrotechnical Society , 2017 , 32 ( 21 ): 126 - 135 .

曾博 , 胡强 , 刘文霞 , 等 . 考虑需求响应复杂不确定性的电-气互联系统动态概率能流计算 [J]. 中国电机工程学报 , 2020 , 40 ( 4 ): 1161 - 1171 .

ZENG Bo , HU Qiang , LIU Wenxia , et al . Dynamic probabilistic energy flow calculation of electric-gas interconnected system considering complex uncertainty of demand response [J]. Proceedings of the CSEE , 2020 , 40 ( 4 ): 1161 - 1171 .

白牧可 , 唐巍 , 吴聪 , 等 . 基于热网-电网综合潮流的用户侧微型能源站及接入网络优化规划 [J]. 电力自动化设备 , 2017 , 37 ( 6 ): 84 - 93 .

BAI Muke , TANG Wei , WU Cong , et al . User-side mini-energy station and access network optimization planning based on heat-grid integrated power flow [J]. Electric Power Automation Equipment , 2017 , 37 ( 6 ): 84 - 93 .

王珺 . 区域综合能源系统规划及优化运行 [D]. 南京：东南大学 , 2017 .

WANG Jun . Planning and optimizing operation of regional integrated energy system [D]. Nanjing ： Southeast University , 2017 .

SHAO C , SHAHIDEHPOUR M , WANG X , et al . Integrated planning of electricity and natural gas transportation systems for enhancing the power grid resilience [J]. IEEE Transactions on Power Systems , 2017 , 32 ( 6 ): 4418 - 4429 .

SALIMI M , ADELPOUR M , VAEZ-ZADEH S , et al . Optimal planning of energy hubs in interconnected energy systems: a case study for natural gas and electricity [J]. IET Generation , Transmission & Distribution , 2015 , 9 ( 8 ): 695 - 707 .

赵峰 , 张承慧 , 孙波 , 等 . 冷热电联供系统的三级协同整体优化设计方法 [J]. 中国电机工程学报 , 2015 , 35 ( 15 ): 3785 - 3793 .

ZHAO Feng , ZHANG Chenghui , SUN Bo , et al . Three-level collaborative overall optimization design method for CCHP system [J]. Proceedings of the CSEE , 2015 , 35 ( 15 ): 3785 - 3793 .

AMERI M , BESHARATI Z . Optimal design and operation of district heating and cooling networks with CCHP systems in a residential complex [J]. Energy and Buildings , 2016 , 110 : 135 - 148 .

刘迪 , 吴俊勇 , 林凯骏 , 等 . 基于Kriging模型的综合能源系统规划方法 [J]. 电网技术 , 2019 , 43 ( 1 ): 185 - 194 .

LIU Di , WU Junyong , LIN Kaijun , et al . Comprehensive energy system planning method based on Kriging model [J]. Power System Technology , 2019 , 43 ( 1 ): 185 - 194 .

PAZOUKI S , HAGHIFAM M R . Optimal planning and scheduling of energy hub in presence of wind, storage and demand response under uncertainty [J]. International Journal of Electrical Power & Energy Systems , 2016 , 80 : 219 - 239 .

权超 , 董晓峰 , 姜彤 . 基于CCHP耦合的电力、天然气区域综合能源系统优化规划 [J]. 电网技术 , 2018 , 42 ( 8 ): 2456 - 2466 .

QUAN Chao , DONG Xiaofeng , JIANG Tong . Optimal planning of regional integrated energy system for power and natural gas based on CCHP coupling [J]. Power System Technology , 2018 , 42 ( 8 ): 2456 - 2466 .

黄国日 , 刘伟佳 , 文福拴 , 等 . 具有电转气装置的电-气混联综合能源系统的协同规划 [J]. 电力建设 , 2016 , 37 ( 9 ): 1 - 13 .

HUANG Guori , LIU Weijia , WEN Fushuan ， et al . Cooperative planning of electric-gas hybrid integrated energy system with electric transfer device [J]. Electric Power Construction , 2016 , 37 ( 9 ): 1 - 13 .

陈娟 , 黄元生 , 鲁斌 . 区域能源互联网“站-网”布局优化研究 [J]. 中国电机工程学报 , 2018 , 38 ( 3 ): 675 - 684 .

CHEN Juan , HUANG Yuansheng , LU Bin . Research on optimization of “station-network” layout of regional energy internet [J]. Proceedings of the CSEE , 2018 , 38 ( 3 ): 675 - 684 .

易文飞 , 俞永增 , 张艺伟 , 等 . 基于 p -中位模型的区域综合能源系统能源站优化规划 [J]. 电力系统自动化 , 2019 , 43 ( 4 ): 107 - 112 .

YI Wenfei , YU Yongzeng , ZHANG Yiwei , et al . p -median model based optimal planning of energy station for regional integrated energy systems [J]. Automation of Electric Power Systems , 2019 , 43 ( 4 ): 107 - 112 .

SEYED M , MOGHADDAS T , MORTEZA J , et al . Optimal operation of an energy hub considering the uncertainty associated with the power consumption of plug-in hybrid electric vehicles using information gap decision theory [J]. International Journal of Electrical Power & Energy Systems , 2019 , 112 ( 11 ): 92 - 108 .

LIU X , JENKINS N , WU J , et al . Combined analysis of electricity and heat networks [J]. Energy Procedia , 2014 , 61 : 155 - 159 .

周建杰 . 图上的路选址问题与连通 p -中心和 p -中位问题 [D]. 上海：上海大学 , 2016 .

ZHOU Jianjie . Location problem and connected p -center and p -median problem on graph [D]. Shanghai ： Shanghai University , 2016 .

国家质检总局 . 城镇燃气设计规范:GB 50028—2006 [S]. 北京：中国建筑工业出版社， 2009 .

General Administration of Quality Supervision and Inspection . Code for urban gas design：GB 50028—2006 [S]. Beijing : China Construction Industry Press , 2009 .

城镇供热管网设计规范:CJJ 34—2010 [S]. 北京：中国建筑工业出版社， 2010 .

Code for design of urban heating pipeline network：CJJ 34—2010 [S]. Beijing : China Architecture & Building Publishing Press , 2010 .

胡国强 , 贺仁睦 . 基于模糊满意度的水火电力系统多目标短期优化调度 [J]. 华北电力大学学报 , 2007 ， 34 ( 3 ): 1 - 5 .

HU Guoqiang , HE Renmu . Multi-objective short-term optimal dispatch of hydrothermal power system based on fuzzy satisfaction [J]. Journal of North China Electric Power University , 2007 ， 34 ( 3 ): 1 - 5 .

黄伟 , 葛良军 , 华亮亮 , 等 . 参与双重市场的区域综合能源系统日前优化调度 [J]. 电力系统自动化 , 2019 , 43 ( 12 ): 68 - 82 .

HUANG Wei , GE Liangjun , HUA Liangliang , et al . The regional integrated energy system participating in the dual market has been optimized dispatch [J]. Automation of Electric Power Systems , 2019 , 43 ( 12 ): 68 - 82 .

王树西 , 李安渝 . Dijkstra算法中的多邻接点与多条最短路径问题 [J]. 计算机科学 , 2014 , 41 ( 6 ): 217 - 224 .

WANG Shuxi , LI Anyu . Dijkstra algorithm for multiple adjacent points and multiple shortest paths [J]. Computer Science , 2014 , 41 ( 6 ): 217 - 224 .

马鑫 , 郭瑞鹏 , 王蕾 , 等 . 基于二阶锥规划的交直流主动配电网日前调度模型 [J]. 电力系统自动化 , 2018 , 42 ( 22 ): 144 - 153 .

MA Xin , GUO Ruipeng , WANG Lei , et al . A day-ahead dispatching model of AC/DC active distribution network based on second-order cone programming [J]. Automation of Electric Power Systems , 2018 , 42 ( 22 ): 144 - 153 .

LIPP T , BOYD S . Variations and extensions of the convex-concave procedure [J]. Optimization & Engineering , 2016 , 17 : 263 - 287 .

王英瑞 , 曾博 , 郭经 , 等 . 电-热-气综合能源系统多能流计算方法 [J]. 电网技术 , 2016 , 40 ( 10 ): 2941 - 2950 .

WANG Yingrui , ZENG Bo , GUO Jing , et al . Multi-energy flow calculation method for electric-thermal-gas integrated energy system [J]. Power System Technology , 2016 , 40 ( 10 ): 2941 - 2950 .

蔡博 , 黄少锋 . 基于多目标粒子群算法的高维多目标无功优化 [J]. 电力系统保护与控制 , 2017 , 45 ( 15 ): 77 - 84 .

CAI Bo , HUANG Shaofeng . Multi-objective reactive power optimization based on multi-objective particle swarm optimization [J]. Power System Protection and Control , 2017 , 45 ( 15 ): 77 - 84 .

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Trading Mechanism for Participation of Small- and Medium-sized Customers in Directrix Demand Response Considering Differentiated Incentives

Joint Bidding and Pricing Optimization Method for Aggregator Demand Response Considering Differences of User Response

Master-Slave Game Strategy for Electric Heating Load Cluster Considering Differences of Heterogeneous Household Types and Aggregation Structure

Related Author

ZHENG Ran

LIU Baozhu

HU Junjie

XIE Dongliang

WANG Lei

PAN Tianyu

HAN Lu

WANG Pin

Related Institution

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University)

State Grid Electric Power Research Institute (NARI Group Corporation)

Anhui Provincial Key Laboratory of Renewable Energy Utilization and Energy Saving (Hefei University of Technology)

Anhui Electric Power Transmission and Transformation Co., Ltd.

Marketing Department of State Grid Anhui Electric Power Co., Ltd.

⁰