Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4916438 | Applied Energy | 2017 | 12 Pages |
Abstract
The increasing share of variable renewable energy sources and the improving requirements on system security and reliability are calling for important changes in our energy systems. The synergies between energy supply networks are of great importance to satisfy the development of the integrated energy system (IES). Hence this paper presents the study of the coordinated scheduling strategy (CSS), in which, the models of the electricity network and gas network are developed in detail, and the operation constraints of the networks are fully considered. The purpose of the CSS is to optimize the conflicting benefits of the electricity network and gas network for daily operation of the IES, while satisfying the operation constraints. In the CSS, a multi-objective optimization algorithm is applied to obtain a Pareto-optimal solution set, and a multiple attribute decision analysis (MADA) using interval evidential reasoning (IER) is developed to determine a final optimal daily operation solution for the IES. Simulation studies are conducted on an IES consisting of a modified IEEE 30-bus electricity network and a 15-node gas network to verify the effectiveness of the CSS, and to evaluate the interdependency between the electricity network and gas network.
Keywords
SOOMADAHypervolumeCCHPCHPPGCDHCNSGA-IICSSIESGSCIERNPsevidential reasoningMEDSingle objective optimizationMulti-objective optimizationMultiple attribute decision analysisMultiple attribute decision makingUnit commitmentSecurity constrained unit commitmentAlternative CurrentDC, Direct currentCombined cooling heating and powerDempster-ShaferComputation timeIntegrated energy systemElectricity networkGas networkTotal costDistrict heating and coolingCombined heating and power
Related Topics
Physical Sciences and Engineering
Energy
Energy Engineering and Power Technology
Authors
J.H. Zheng, Q.H. Wu, Z.X. Jing,