4.8 Article

Comparing classical and metaheuristic methods to optimize multi-objective operation planning of district energy systems considering uncertainties

Related references

Note: Only part of the references are listed.
Article Thermodynamics

A flexible-reliable operation optimization model of the networked energy hubs with distributed generations, energy storage systems and demand response

Anoosh Dini et al.

Summary: This study presents a novel optimization model for the flexible-reliable operation of energy hubs in electricity, natural gas, and district heating networks, utilizing energy storage systems and incentive-based demand response program. The optimization scheme minimizes the total expected costs of operation, reliability, and flexibility of the energy networks, while considering uncertainties of load, energy cost, power generation of RES, and network equipment availability through scenario-based stochastic programming. A hybrid teaching-learning-based optimization and crow search algorithm is used to obtain a reliable optimal solution with low standard deviation.

ENERGY (2022)

Article Energy & Fuels

A multi-objective energy optimization in smart grid with high penetration of renewable energy sources

Kalim Ullah et al.

Summary: Energy optimization is crucial for energy management, economic savings, and reliable power grid operation. A novel optimization model is developed to enhance smart microgrid performance by reducing costs and pollution emissions through the use of renewable energy sources.

APPLIED ENERGY (2021)

Review Energy & Fuels

A review of co-optimization approaches for operational and planning problems in the energy sector

Geremi Gilson Dranka et al.

Summary: This paper presents a comprehensive overview of the application of co-optimization in the energy sector based on a systematic literature review of 211 related studies, tracking frontiers, trends, and potential research gaps. The findings suggest technical challenges and the necessity of data-intensive procedures in co-optimization approaches. Future challenges include addressing uncertainties and balancing model fidelity, spatial granularity, and geographical coverage.

APPLIED ENERGY (2021)

Article Energy & Fuels

Open-source modeling of a low-carbon urban neighborhood with high shares of local renewable generation

Sebastian Zwickl-Bernhard et al.

Summary: This study examines how an urban neighborhood in Vienna, Austria can optimally utilize its local renewable energy potential to meet its electricity, heat, and cooling demands. By analyzing different energy technology portfolio studies, various trade-offs between energy technology utilization, local supply within the community, and external supply are identified, revealing the strengths and weaknesses of different energy supply options. The research findings support sustainable urban energy planning and suggest future enhancements to the open-source modeling approach.

APPLIED ENERGY (2021)

Article Construction & Building Technology

A two-stage multi-objective optimization method for envelope and energy generation systems of primary and secondary school teaching buildings in China

Yizhe Xu et al.

Summary: This paper proposes a two-stage multi-objective optimization method based on a meta-model to obtain the optimal design scheme for primary and secondary school education buildings, considering both energy and cost. The effectiveness of the two-stage optimization method is verified by a typical teaching building in Nanjing, showing that optimal building envelope design and photovoltaic system parameters can be achieved for improved energy efficiency and cost-effectiveness.

BUILDING AND ENVIRONMENT (2021)

Review Green & Sustainable Science & Technology

Modeling and optimization of multi-energy systems in mixed-use districts: A review of existing methods and approaches

Christian Klemm et al.

Summary: Around 75% of global energy consumption occurs in cities, but there is a lack of research on modeling energy systems in urban areas. This review evaluates existing energy system models and tools, revealing a scarcity of suitable tools for optimizing multienergy systems in mixed-use districts.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2021)

Article Energy & Fuels

Community-level decentralized energy system planning under uncertainty: A comparison of mathematical models for strategy development

Tharindu Prabatha et al.

Summary: This study compares different mathematical modeling techniques used in energy planning for grid connected renewable energy systems and finds that robust optimization can be used to develop an uncertainty-based decision model, significantly reducing evaluation time. The presence of uncertainties can change the optimal configuration of a planned energy system, but the assessment method itself does not significantly impact the outcomes.

APPLIED ENERGY (2021)

Article Energy & Fuels

Co-optimization planning of integrated electricity and district heating systems based on improved quadratic convex relaxation

Xu Wang et al.

Summary: The study proposes a long-term co-optimization planning model for integrated electricity and district heating systems, considering various investment options to meet electricity and heat demands. By introducing auxiliary variables and using a parallel algorithm, high-quality solutions are efficiently obtained.

APPLIED ENERGY (2021)

Article Thermodynamics

Multitasking multi-objective operation optimization of integrated energy system considering biogas-solar-wind renewables

Ting Wu et al.

Summary: The paper introduces a grid-connected integrated energy system that considers biogas-solar-wind complementarities and applies digester heating for biogas production. A multi-objective optimization model is used to optimize operational cost, carbon dioxide emission, and energy loss, while comparing the system to a natural gas-solar-wind IES. The study also presents an improved multitasking paradigm within the domain of multi-objective optimization to enhance convergence characteristics and performance evaluation.

ENERGY CONVERSION AND MANAGEMENT (2021)

Review Engineering, Chemical

Classification and Analysis of Optimization Techniques for Integrated Energy Systems Utilizing Renewable Energy Sources: A Review for CHP and CCHP Systems

Mohammad Ali Bagherian et al.

Summary: The increasing demand for energy over the years has led to rapid depletion of fossil fuels and subsequent environmental damages. In order to address this issue, integrated energy systems and optimization techniques are being utilized to provide cleaner and more efficient energy solutions. Evolutionary computing methods, such as Genetic Algorithms and Particle Swarm Optimization, are increasingly replacing classical optimization methods for improving energy systems performance.

PROCESSES (2021)

Article Thermodynamics

Robust optimization of microgrid based on renewable distributed power generation and load demand uncertainty

Jun Yang et al.

Summary: This paper proposes a robust optimization model for microgrid operations, aiming to balance the economy and robustness. By solving the robust adjustment parameters, the system's robustness can be ensured while minimizing operating costs in both buying and selling electricity scenarios.

ENERGY (2021)

Article Thermodynamics

Multi-objective bat optimization for a biomass gasifier integrated energy system based on 4E analyses

Yan Cao et al.

Summary: An innovative biomass gasifier integrated plant for combined heating and power production was proposed and studied using various simulation and optimization methods, demonstrating feasibility in terms of both economic and environmental factors.

APPLIED THERMAL ENGINEERING (2021)

Article Engineering, Electrical & Electronic

Mathematical optimization versus Metaheuristic techniques: A performance comparison for reconfiguration of distribution systems

Christoffer L. Bezao Silveira et al.

Summary: This paper evaluates classical models and metaheuristics in the reconfiguration problem, comparing their performances using two proposed metrics. The study shows that linear and conic programming models find optimal solutions for small and medium-sized systems, while metaheuristics require lower computational effort and provide better solutions for large systems.

ELECTRIC POWER SYSTEMS RESEARCH (2021)

Article Thermodynamics

Multi-objective optimization of district energy systems with demand response

Martina Capone et al.

Summary: Effective management strategies are crucial for achieving reductions in energy consumption and carbon dioxide emissions in district energy applications. A global optimization approach is proposed in this paper, which combines the optimization of production side with demand-side management to improve the operation of smart energy systems. By using a bi-level optimization structure, significant reductions in emissions can be achieved at the expense of a modest increase in operating cost.

ENERGY (2021)

Article Engineering, Electrical & Electronic

Distributed Operation for Integrated Electricity and Heat System With Hybrid Stochastic/Robust Optimization

Junjie Zhong et al.

Summary: This paper investigates the uncertainty handling methods of integrated electricity and heat systems (IEHS) using a hybrid stochastic/robust optimization model, and utilizes BADMM to decouple the original IEHS model, thereby enhancing system flexibility. Additionally, the simulation results show the impact of uncertainty and spatial-temporal correlativity on IEHS system state, and the distributed model proposed based on BADMM can improve convergence and realize cooperative operation of IEHS.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2021)

Article Engineering, Multidisciplinary

Probability-Interval-Based Optimal Planning of Integrated Energy System With Uncertain Wind Power

Zhe Li et al.

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS (2020)

Review Green & Sustainable Science & Technology

A review on the quantification of life cycle greenhouse gas emissions at urban scale

Zahra Ghaemi et al.

JOURNAL OF CLEANER PRODUCTION (2020)

Article Engineering, Electrical & Electronic

A two-level model for the participation of microgrids in energy and reserve markets using hybrid stochastic-IGDT approach

Ramyar Mafakheri et al.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2020)

Review Automation & Control Systems

A comparative review on mobile robot path planning: Classical or meta-heuristic methods?

Mohd Nadhir Ab Wahab et al.

ANNUAL REVIEWS IN CONTROL (2020)

Article Engineering, Electrical & Electronic

Markovian-based stochastic operation optimization of multiple distributed energy systems with renewables in a local energy community

Bing Yan et al.

ELECTRIC POWER SYSTEMS RESEARCH (2020)

Review Engineering, Electrical & Electronic

Review on the state-of-the-art multi-objective optimisation of hybrid standalone/grid-connected energy systems

Rahmat Khezri et al.

IET GENERATION TRANSMISSION & DISTRIBUTION (2020)

Article Computer Science, Information Systems

Pymoo: Multi-Objective Optimization in Python

Julian Blank et al.

IEEE ACCESS (2020)

Article Computer Science, Artificial Intelligence

A network reconfiguration approach for power system restoration based on preference-based multiobjective optimization

Runjia Sun et al.

APPLIED SOFT COMPUTING (2019)

Article Energy & Fuels

EnergyScope TD: A novel open-source model for regional energy systems

Gauthier Limpens et al.

APPLIED ENERGY (2019)

Review Green & Sustainable Science & Technology

Approaches to wind power curve modeling: A review and discussion

Yun Wang et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2019)

Review Green & Sustainable Science & Technology

A review of uncertainty characterisation approaches for the optimal design of distributed energy systems

Georgios Mavromatidis et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2018)

Review Green & Sustainable Science & Technology

The National Solar Radiation Data Base (NSRDB)

Manajit Sengupta et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2018)

Article Green & Sustainable Science & Technology

Comparison of clustering algorithms for the selection of typical demand days for energy system synthesis

Thomas Schuetz et al.

RENEWABLE ENERGY (2018)

Article Construction & Building Technology

A δ-constraint multi-objective optimization framework for operation planning of smart grids

M. Bastani et al.

SUSTAINABLE CITIES AND SOCIETY (2018)

Article Energy & Fuels

Optimal design of hybrid energy systems incorporating stochastic renewable resources fluctuations

Oluwamayowa O. Amusat et al.

JOURNAL OF ENERGY STORAGE (2018)

Article Economics

The importance of open data and software: Is energy research lagging behind?

Stefan Pfenninger et al.

ENERGY POLICY (2017)

Article Engineering, Electrical & Electronic

Multi objective stochastic microgrid scheduling incorporating dynamic voltage restorer

Mehdi Ahmadi Jirdehi et al.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2017)

Review Green & Sustainable Science & Technology

Integrated renewable electricity generation considering uncertainties: The UK roadmap to 50% power generation from wind and solar energies

Mandi Sharifzadeh et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2017)

Review Green & Sustainable Science & Technology

Integrating short term variations of the power system into integrated energy system models: A methodological review

Sean Collins et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2017)

Review Green & Sustainable Science & Technology

A review of the optimal allocation of distributed generation: Objectives, constraints, methods, and algorithms

Mahmoud H. A. Pesaran et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2017)

Review Green & Sustainable Science & Technology

Review on life cycle inventory: methods, examples and applications

Samantha Islam et al.

JOURNAL OF CLEANER PRODUCTION (2016)

Review Green & Sustainable Science & Technology

A review of modelling approaches and tools for the simulation of district-scale energy systems

Jonas Allegrini et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2015)

Article Green & Sustainable Science & Technology

Modelling of turbulent wind flow using the embedded Markov chain method

S. P. Evans et al.

RENEWABLE ENERGY (2015)

Article Computer Science, Interdisciplinary Applications

Multi-objectives, multi-period optimization of district energy systems: I. Selection of typical operating periods

Samira Fazlollahi et al.

COMPUTERS & CHEMICAL ENGINEERING (2014)

Article Construction & Building Technology

Exploring HVAC system sizing under uncertainty

Yuming Sun et al.

ENERGY AND BUILDINGS (2014)

Article Computer Science, Information Systems

A survey on optimization metaheuristics

Ilhern Boussaid et al.

INFORMATION SCIENCES (2013)

Article Green & Sustainable Science & Technology

Optimal operation scheduling of wind power integrated with compressed air energy storage (CAES)

M. Abbaspour et al.

RENEWABLE ENERGY (2013)

Review Green & Sustainable Science & Technology

Multi-operation management of a typical micro-grids using Particle Swarm Optimization: A comparative study

Amjad Anvari Moghaddam et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2012)

Article Construction & Building Technology

Future trends of building heating and cooling loads and energy consumption in different climates

Kevin K. W. Wan et al.

BUILDING AND ENVIRONMENT (2011)

Review Green & Sustainable Science & Technology

Optimization methods applied to renewable and sustainable energy: A review

R. Banos et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2011)

Article Computer Science, Software Engineering

Pyomo: modeling and solving mathematical programs in Python

William E. Hart et al.

MATHEMATICAL PROGRAMMING COMPUTATION (2011)

Review Green & Sustainable Science & Technology

Multi-objective planning of distributed energy resources: A review of the state-of-the-art

Arturo Alarcon-Rodriguez et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2010)

Article Computer Science, Artificial Intelligence

A fast and elitist multiobjective genetic algorithm: NSGA-II

K Deb et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2002)