Research on Energy Capacity Planning of Electricity-gas Systems Considering Multi-objective Coordination

被引：0

作者：

Bao M. ^{[1
]}

Ding Y. ^{[1
]}

Sang M. ^{[1
]}

Liang Z. ^{[1
]}

Hui H. ^{[1
]}

Tang X. ^{[2
]}

Shao C. ^{[3
]}

机构：

[1] School of Electrical Engineering, Zhejiang University, Hangzhou

[2] Power Grid Planning & Research Center Guizhou Power Grid Co., Ltd., Guiyang

[3] School of Electrical Engineering, Chongqing University, Shapingba District, Chongqing

来源：

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2021年 / 41卷 / 22期

关键词：

Costs; Electricity-gas systems; Energy capacity planning; Multi-state models; Reliability;

D O I：

10.13334/j.0258-8013.pcsee.202442

中图分类号：

学科分类号：

摘要：

The large-scale utilization of natural gas units continuously increases the interactions between power systems and gas systems. Considering that, random failures may propagate between energy subsystems, bringing new requirements for long-term planning of the electricity-gas systems (EGs). In order to improve the reliability of EGs, this paper proposed an energy capacity planning model considering multi-objective coordination (i.e., reliability and costs) to determine the location and capacity of generators and energy storages. Considering the failure characteristics of components, multi-state reliability models were proposed to describe the transition process among different operating states. Based on the reliability models of components and multi-state energy loads, the reliability constraints of gas system and power system were sequentially formulated, where the cross-sectorial failure propagation was considered. Besides, the energy capacity planning model of the EGs was proposed to minimize the total system costs, including investment costs, operation costs and load curtailment costs. In the proposed model, the investment constraints, operation constraints and reliability constraints of IGPSs were considered. Finally, a case study composed of IEEE 30-bus system and a 20-bus Belgian gas network was utilized to validate the effectiveness of the proposed model. © 2021 Chin. Soc. for Elec. Eng.

引用

页码：7551 / 7562

页数：11

共 34 条

[1] ZHANG Anan, LI Jing, LIN Dong, Et al., A cascading failure model of electricity-gas coupling system considering the influence of limit risk of natural gas pipeline network, Proceedings of the CSEE, pp. 1-11, (2021)
[2] BAO Minglei, YANG Yang, DING Yi, Et al., Assessment of cascading failures in power system considering effects of natural gas system, Power System Technology, 43, 1, pp. 32-40, (2019)
[3] YU Juan, MA Mengnan, GUO Lin, Et al., Reliability evaluation of integrated electrical and natural-gas system with power-to-gas, Proceedings of the CSEE, 38, 3, pp. 708-715, (2018)
[4] XIE Hua, CHEN Hao, DENG Xiaoyang, Et al., Electric-gas integrated energy system operational risk assessment based on improved K-means clustering technology and semi-invariant method, Proceedings of the CSEE, 40, 1, pp. 59-69, (2020)
[5] YAN Zhimin, WANG Chengmin, LIAN Hongbo, Et al., Capacity plan of battery energy storage system in user side considering power outage cost, Automation of Electric Power Systems, 36, 11, pp. 50-54, (2012)
[6] ZOU Lei, WANG Chaoqun, DU Xianbo, Et al., Staged collaborative planning of regional integrated energy system considering thermoelectric pipe selection and power flow constraints, Proceedings of the CSEE, 41, 11, pp. 3765-3780, (2021)
[7] ZENG Qing, ZHANG Baohua, FANG Jiakun, Et al., A bi-level programming for multistage co-expansion planning of the integrated gas and electricity system, Applied Energy, 200, pp. 192-203, (2017)
[8] QIU Jing, DONG Zhaoyang, ZHAO Junhua, Et al., Low carbon oriented expansion planning of integrated gas and power systems, IEEE Transactions on Power Systems, 30, 2, pp. 1035-1046, (2015)
[9] ZHANG Xiaohui, LIU Xiaoyan, ZHONG Jiaqing, Integrated energy system planning considering a reward and punishment ladder-type carbon trading and electric-thermal transfer load uncertainty, Proceedings of the CSEE, 40, 19, pp. 6132-6141, (2020)
[10] YANG Nan, HUANG Yu, DONG Bangtian, Et al., Research on the joint planning method of electricity-gas integrated energy system based on multi-agent game, Proceedings of the CSEE, 39, 22, pp. 6521-6532, (2019)

← 1 2 3 4 →