Optimal Energy Flow of Combined Electrical and Heating Multi-energy System Considering the Linear Network Constraints

被引：0

作者：

Yu D. ^{[1
]}

Cao J. ^{[1
]}

Tu C. ^{[1
]}

Wang Z. ^{[1
]}

Lü C. ^{[2
]}

Wang H. ^{[2
]}

机构：

[1] State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), Changping District, Beijing

[2] China Electric Power Research Institute, Haidian District, Beijing

来源：

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2019年 / 39卷 / 07期

关键词：

Combined electrical and heating network; Combined heat and power (CHP); Linear programming; Matrix formulation; Multi-energy system; Optimal power flow;

D O I：

10.13334/j.0258-8013.pcsee.180173

中图分类号：

学科分类号：

摘要：

As the penetration of combined heat and power (CHP) units and renewable sources increases, the interaction between electrical and heating networks becomes tighter and modeling electrical and district heating networks as a whole becomes increasingly important. A linear programming-based optimal power flow model of combine heating and electrical system was proposed in this paper, which was not only applicable for radial network but for meshed network as well. The model of electrical and heating network as well as their linking components was established respectively by analyzing the topology of combined system. The basic matrix formulation of network equations was pursued for the linear optimal power flow model and the coefficient matrices can be modified rapidly according to different types of topology, which proved strong applicability. By transforming the nonlinear, non-convex problem to the linear programming problem, computational efficiency was improved greatly and potential convergence problem was avoided. One actual case was studied to show the accuracy and robustness of the proposed algorithm. © 2019 Chin. Soc. for Elec. Eng.

引用

页码：1933 / 1943

页数：10

共 23 条

[1]

Wang W., Wang D., Jia H., Et al., Analysis of energy flow optimization in regional electricity-gas- heat integrated energy system considering operational constraints, Proceedings of the CSEE, 37, 24, pp. 7108-7120, (2017)

[2]

Bie Z., Wang X., Hu Y., Review and prospect of planning of energy internet, Proceedings of the CSEE, 37, 22, pp. 6445-6462, (2017)

[3]

Wang H., Yin W., Abdollahi E., Et al., Modelling and optimization of CHP based district heating system with renewable energy production and energy storage, Applied Energy, 159, 1, pp. 401-421, (2015)

[4]

Liao C., Research on heating sources combination optimization of district heating systems with combined heat and power plants, (2014)

[5]

Li J., Ma H., Hui D., Present development condition and trends of energy storage technology in the integration of distributed renewable energy, Transactions of China Electrotechnical Society, 31, 14, pp. 1-10, (2016)

[6]

Yang J., Zhang N., Kang C., Et al., A state-independent linear power flow model with accurate estimation of voltage magnitude, IEEE Transactions on Power Systems, 32, 5, pp. 3607-3617, (2016)

[7]

Bao H., Wei H., Guo X., Interval optimal power flow calculation for AC/DC power system considering renewable energy source, Proceedings of the CSEE, 35, 16, pp. 4006-4014, (2015)

[8]

Liu X., Jenkins N., Wu J., Et al., Combined analysis of electricity and heat networks, (2014)

[9]

Momoh J., El-Hawary M., Adapa R., A review of selected optimal power flow literature to 1993. II. Newton, Linear Programming and Interior Point methods, IEEE Transactions on Power Systems, 14, 1, pp. 105-111, (2002)

[10]

Lin W., Jin X., Mu Y., Et al., Multi-objective optimal hybrid power flow algorithm for integrated local area energy system, Proceedings of the CSEE, 37, 20, pp. 5829-5839, (2017)

← 1 2 3 →