Optimal operation of integrated energy systems subject to the coupled demand constraints of electricity and natural gas

This paper proposes a hybrid multi-objective optimization and game-theoretic approach (HMOGTA) to achieve the optimal operation of integrated energy systems (IESs) consisting of electricity and natural gas (E&G) utility networks, multiple distributed energy stations (DESs), and multiple energy u...

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Bibliographic Details
Published in:CSEE Journal of Power and Energy Systems Vol. 6; no. 2; pp. 444 - 457
Main Authors: Wu, Q. H., Qin, Y. J., Wu, L. L., Zheng, J. H., Li, M. S., Jing, Z. X., Zhou, X. X., Wei, F.
Format: Journal Article
Language:English
Published: Beijing Chinese Society for Electrical Engineering Journal of Power and Energy Systems 01.06.2020
China electric power research institute
Subjects:
Demand
Dens
Distributed generation
Electricity
Electricity consumption
Electricity pricing
Energy
Game theory
Integrated energy systems
Multiple objective analysis
Natural gas
Networks
Optimization
ISSN:2096-0042, 2096-0042
Online Access:Get full text
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Summary:This paper proposes a hybrid multi-objective optimization and game-theoretic approach (HMOGTA) to achieve the optimal operation of integrated energy systems (IESs) consisting of electricity and natural gas (E&G) utility networks, multiple distributed energy stations (DESs), and multiple energy users (EUs). The HMOGTA aims to solve the coordinated operation strategy of the electricity and natural gas networks considering the demand characteristics of DESs and EUs. In the HMOGTA, a hierarchical Stackelberg game model is developed for generating equilibrium strategies of DESs and EUs in each district energy network (DEN). Based on the game results, we obtain the coupling demand constraints of electricity and natural gas (CD-CENs) which reflect the relationship between the amounts and prices of electricity and cooling (E&C) that DESs purchase from utility networks. Furthermore, the minimization of conflicting costs of E&G networks considering the CDCENs are solved by a multi-objective optimization method. A case study is conducted on a test IES composed of a 20-node natural gas network, a modified IEEE 30-bus system, and 3 DENs, which verifies the effectiveness of the proposed HMOGTA to realize fair treatment for all participants in the IES.
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ISSN:2096-0042
2096-0042
DOI:10.17775/CSEEJPES.2018.00640