Journal Article10.1016/J.ENERGY.2021.120995
Multiobjective bilevel optimization algorithm based on preference selection to solve energy hub system planning problems
28
TL;DR: The proposed multiobjective bilevel optimization algorithm based on preference selection helps to solve the planning, design and operation scheduling problems of complex energy hub systems and multi-energy flow complementary systems and provides a theoretical basis for further research on the optimal scheduling of the entire life cycle of the energy hub system.
read more
About: This article is published in Energy. The article was published on 01 Oct 2021. The article focuses on the topics: Bilevel optimization & Heuristic (computer science).
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
A Multi-objective dynamic framework for design of energy hub by considering energy storage system, power-to-gas technology and integrated demand response program
Seyed Amir Mansouri,Emad Nematbakhsh,Amir Ahmarinejad,A. Rezaee Jordehi,Mohammad Sadegh Javadi,Seyed Alireza Alavi Matin +5 more
TL;DR: In this paper , a multi-objective dynamic framework for energy hub design and operation is presented, considering variable efficiency, degradation of equipment and annual growth of the load and energy prices.
122
Multi-objective planning of regional integrated energy system aiming at exergy efficiency and economy
TL;DR: In this paper, a bi-level planning optimization model of the regional integrated energy system is proposed to take into account both quantity and quality of energy, and the tabu search algorithm is embedded in the solving algorithm of the multi-objective genetic algorithm for solving, determining the capacity of each equipment in the energy structure.
91
A Fuzzy Decision Variables Framework for Large-scale Multiobjective Optimization
TL;DR: In this paper, a fuzzy decision variables framework for large-scale multiobjective optimization is proposed, which divides the entire evolutionary process into two main stages: fuzzy evolution and precise evolution.
Energy Hub Design in the Presence of P2G System Considering the Variable Efficiencies of Gas-Fired Converters
Seyed Amir Mansouri,Amir Ahmarinejad,Emad Nematbakhsh,Mohammad Sadegh Javadi,Ahmad Rezaee Jordehi,Joao P. S. Catalao +5 more
- 06 Sep 2021
TL;DR: In this paper, a scenario-based framework for energy hub design considering the variable efficiencies of gas-fired converters, wind turbines and integrated demand response (IDR) programs is presented.
49
References
•Book
Computers and Intractability: A Guide to the Theory of NP-Completeness
Michael Randolph Garey,David S. Johnson +1 more
- 01 Jan 1979
TL;DR: The second edition of a quarterly column as discussed by the authors provides a continuing update to the list of problems (NP-complete and harder) presented by M. R. Garey and myself in our book "Computers and Intractability: A Guide to the Theory of NP-Completeness,” W. H. Freeman & Co., San Francisco, 1979.
A fast and elitist multiobjective genetic algorithm: NSGA-II
TL;DR: This paper suggests a non-dominated sorting-based MOEA, called NSGA-II (Non-dominated Sorting Genetic Algorithm II), which alleviates all of the above three difficulties, and modify the definition of dominance in order to solve constrained multi-objective problems efficiently.
MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition
Qingfu Zhang,Hui Li +1 more
TL;DR: Experimental results have demonstrated that MOEA/D with simple decomposition methods outperforms or performs similarly to MOGLS and NSGA-II on multiobjective 0-1 knapsack problems and continuous multiobjectives optimization problems.
An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints
Kalyanmoy Deb,Himanshu Jain +1 more
TL;DR: A reference-point-based many-objective evolutionary algorithm that emphasizes population members that are nondominated, yet close to a set of supplied reference points is suggested that is found to produce satisfactory results on all problems considered in this paper.