Natural Computing for Simulation-Based Optimization and Beyond

Meyer-Nieberg, Silja; Leopold, Nadiia; Uhlig, Tobias

doi:10.1007/978-3-030-26215-0

Cited by 1 publication

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“…Multi-paradigm modeling allows integration of submodels constructed using different modeling methods, in order to support flexible and extensible adoption of multiple perspectives and multiple objectives [32]. Simulation-based optimization, an emerging approach that embeds simulation models into heuristic algorithms to solve the optimization problems, provides capabilities to handle a much larger number of scenarios for much more complex systems than traditional optimization approaches [33,34]. In our research, Anylogic [35], a multimethod simulation platform, has been utilized to develop multiparadigm models, and OptQuest [36], a flexible iterative heuristic engine, has been employed to implement and facilitate simulation-based optimization.…”

Section: A Framework Of the Proposed Researchmentioning

confidence: 99%

Cooperative Planning of Distributed Renewable Energy Assisted 5G Base Station With Battery Swapping System

Liu¹,

Bie

2021

IEEE Access

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The surging electricity consumption and energy cost have become a primary concern in the planning of the upcoming 5G systems. The integration of distributed renewable energy sources (RESs), such as solar and wind, is considered to be a viable solution for cutting energy bills and greenhouse gas(GHG) emissions of 5G base stations(BSs). Meanwhile, battery swapping(BSW) service for Electric two-wheelers (E2Ws) is a burgeoning method to address the issue of E2Ws refueling in urban areas. The authors spotted potentials in the integration and cooperation of 5G BSs, distributed RES generations, and BSW systems for E2Ws. This paper proposes a simulation-based optimization framework for cooperative planning of the integrated system of 5G BS, RES generations, and BSW systems. A multi-paradigm simulation model is presented to mimic all the heterogeneous components contained in the integrated system, as well as their complex interconnections, and to take the involved uncertainties and distributive characteristics into account. Then an optimization model is developed based on the presented simulation model under different scenarios, to minimize the comprehensive annualized expense, with consideration of all the operation and planning constraints of the integrated system. Finally, the proposed simulation-based optimization framework is applied to practical cases under different scenarios. Numerical results and comparison analysis reveal how the integration of RES generations and BSW systems benefit 5G BS in expense cutting and RES accommodating.

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Section: A Framework Of the Proposed Researchmentioning

confidence: 99%