Optimal Dispatch of Integrated Energy Campus Microgrids Considering the Time-Delay of Pipelines

• Published in: IEEE access Vol. 8; pp. 178782 - 178795
• Main Authors: Tang, Zhiqiang, Lin, Shunjiang, Liang, Weikun, Xie, Yuquan, Song, Yunong, Wang, Jiayu, Liu, Mingbo
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Chillers; Constraint modelling; Cooling; Delay; Distributed generation; Energy transmission; Finite difference method; Gas pipelines; Generators; Heat exchange; Heating; Integer programming; Integrated energy campus microgrids; Linear programming; Linearization; Mathematical model; Mixed integer; mixed-integer linear programming; Natural gas; Nonlinear programming; optimal dispatch; orthogonal collocation on finite elements; Partial differential equations; Pipelines; Power systems; Resistance heating; Steady state models; time-delay; Water heating
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2020.3026344

Energy transmission in cooling/heating and gas pipelines has time-delay, which impacts the power balance between various sources and loads in the optimal dispatch of an integrated energy campus microgrid (IECM). This article proposed an optimal dispatch model for IECMs, which considered the time-delay of energy transmission in cooling/heating and gas pipelines. In this model, the electricity and natural gas purchase cost of the IECM was made into an objective function. Partial differential equations (PDEs) were used to describe the time-delay in pipelines, and the discrete variables that described the switching number of absorption chillers and heat exchange units were included in the constraints. The proposed model was essentially a mixed-integer nonlinear programming (MINLP) model with PDE constraints. Orthogonal collocation on finite elements (OCFE) in the two-dimensional domain was used to transform PDEs into algebraic equations (AEs). Several linearization methods, including piecewise linearization and the big M method, were used to transform the initial MINLP model into a mixed-integer linear programming (MILP) model to reduce computational complexity. OCFE was compared with the first-order finite difference method, and simulation results were used to demonstrate the accuracy and efficiency of the proposed algorithm. The impact of the time-delay of pipelines on IECM was analyzed through comparison with a steady-state model.