期刊
FRONTIERS IN ENERGY RESEARCH
卷 9, 期 -, 页码 -出版社
FRONTIERS MEDIA SA
DOI: 10.3389/fenrg.2021.718151
关键词
combined heat and power; convexification; coupling units; integrated energy systems; multi-energy flow
This study proposes a mixed-integer nonlinear programming model that combines electrical, natural gas, and heating systems, as well as coupling components such as CHP and gas-fired generators. By using second-order cone and linearized techniques, the model transforms the non-convex fundamental matrix formulation of multi-energy network equations to a mixed-integer convex multi-energy flow model, significantly improving computational efficiency and avoiding potential convergence issues.
To alleviate environmental pollution and improve the energy efficiency of end-user utilization, the integrated energy systems (IESs) have become an important direction of energy structure adjustment over the world. The widespread application of the coupling units, such as gas-fired generators, gas-fired boilers, and combined heat and power (CHP), increases the connection among electrical, natural gas, and heating systems in IESs. This study proposes a mixed-integer nonlinear programming (MINLP) model combining electrical, natural gas, and heating systems, as well as the coupling components, such as CHP and gas-fired generators. The proposed model is applicable for either the radial multi-energy network or the meshed multi-energy network. Since the proposed MINLP model is difficult to be solved, the second-order cone and linearized techniques are used to transform the non-convex fundamental matrix formulation of multi-energy network equations to a mixed-integer convex multi-energy flow model, which can improve the computational efficiency significantly. Moreover, the potential convergence problem of the original model can also be avoided. A simulation of IEEE 14-node electrical system, 6-node natural gas system, and 23-node heating system are studied to verify the accuracy and computational rapidity of the proposed method.
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