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A Comprehensive Review of Microgrid Energy Management Strategies Considering Electric Vehicles, Energy Storage Systems, and AI Techniques

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PROCESSES 2024年第2期12卷 270页

作者： Khan, Muhammad Raheel Haider, Zunaib Maqsood Malik, Farhan Hameed Almasoudi, Fahad M. Alatawi, Khaled Saleem S. Bhutta, Muhammad Shoaib Islamia Univ Bahawalpur Dept Elect Engn Bahawalpur 63100 Pakistan Abu Dhabi Polytech Dept Electromech Engn Abu Dhabi 13232 U Arab Emirates Univ Tabuk Fac Engn Dept Elect Engn Tabuk 47913 Saudi Arabia Guilin Univ Aerosp Technol Sch Automobile Engn Guilin 541004 Peoples R China

The relentlessly depleting fossil-fuel-based energy resources worldwide have forbidden an imminent energy crisis that could severely impact the general population. This dire situation calls for the immediate exploitation of renewable energy resources to redress the balance between power consumption and generation. This manuscript confers about energy management tactics to optimize the methods of power production and consumption. Furthermore, this paper also discusses the solutions to enhance the reliability of the electrical power system. In order to elucidate the enhanced reliability of the electrical system, microgrids consisting of different energy resources, load types, and optimization techniques are comprehensively analyzed to explore the significance of energy management systems (EMSs) and demand response strategies. Subsequently, this paper discusses the role of EMS for the proper consumption of electrical power considering the advent of electric vehicles (EVs) in the energy market. The main reason to integrate EVs is the growing hazards of climate change due to carbon emissions. Moreover, this paper sheds light on the growing importance of artificial intelligence (AI) in the technological realm and its incorporation into electrical systems with the notion of strengthening existing smart grid technologies and to handle the uncertainties in load management. This paper also delineates the different methodologies to effectively mitigate the probability of facing cyber-attacks and to make the smart grids invulnerable.

关键词： energy storage system demand-side management renewable energy resources microgrid smart grid optimization algorithms electric vehicles artificial intelligence

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Quantum optimal control theory for solvated systems

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JOURNAL OF CHEMICAL PHYSICS 2019年第19期151卷 194109-194109页

作者： Rosa, Marta Gil, Gabriel Corni, Stefano Cammi, Roberto Univ Padua Dipartimento Sci Chim Padua Italy Inst Cibernet Matemat & Fis Havana Cuba CNR NANO Ist Nanosci Modena Italy Univ Parma Dipartimento Sci Chim Vita & Sostenibilita Ambien Parma Italy

In this work, we generalize the quantum optimal control theory (QOCT) of molecules subject to ultrashort laser pulses to the case of solvated systems, explicitly including the solvent dielectric properties in the system's quantum Hamiltonian. A reliable description of the solvent polarization is accounted for within the polarizable continuum model (PCM). The electron dynamics for the molecules in solution is coupled with the dynamics of the surrounding polarizable environment, which affects the features of the optimized laser pulse. To illustrate such effects, numerical applications of the developed method to the study of optimal population of selected excited states of two molecular solvated systems are presented and discussed. Published under license by AIP Publishing.

关键词： Functional equations Quantum optimal control theory Polarizable continuum model Lasers optimization algorithms Dielectric properties Mathematical optimization

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A survey of recently developed metaheuristics and their comparative analysis

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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2023年第PartA期117卷

作者： Alorf, Abdulaziz Qassim Univ Coll Engn Dept Elect Engn Buraydah 52571 Saudi Arabia

The aim of this study was to gather, discuss, and compare recently developed metaheuristics to understand the pace of development in the field of metaheuristics and make some recommendations for the research community and practitioners. By thoroughly and comprehensively searching the literature and narrowing the search results, we created with a list of 57 novel metaheuristic algorithms. Based on the availability of the source code, we reviewed and analysed the optimization capability of 26 of these algorithms through a series of experiments. We also evaluated the exploitation and exploration capabilities of these metaheuristics by using 50 unimodal functions and 50 multimodal functions, respectively. In addition, we assessed the capability of these algorithms to balance exploration and exploitation by using 29 shifted, rotated, composite, and hybrid CEC-BC-2017 benchmark functions. Moreover, we evaluated the applicability of these metaheuristics on four real-world constrained engineering optimization problems. To rank the algorithms, we performed a nonparametric statistical test, the Friedman mean rank test. Based on the statistical results for the unimodal and multimodal functions, we declared that the GBO, PO, and MRFO algorithms have better exploration and exploitation capabilities. Based on the results for the CEC-BC-2017 benchmark functions, we found the MPA, FBI, and HBO algorithms to be the most balanced. Finally, based on the results for the constrained engineering optimization problems, we declared that the HBO, GBO, and MA algorithms are the most suitable. Collectively, we confidently recommend the GBO, MPA, PO, and HBO algorithms for real-world optimization problems.

关键词： Marine predator algorithm Metaheuristics survey optimization algorithms Political optimizer optimization survey optimization algorithm comparison Engineering optimization

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A modified squirrel search algorithm based on improved best fit heuristic and operator strategy for bin packing problem

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APPLIED SOFT COMPUTING 2019年 82卷 105565-000页

作者： El-Ashmawi, Walaa H. Abd Elminaam, Diaa Salama Suez Canal Univ Fac Comp & Informat Comp Sci Dept Ismalia City Egypt Benha Univ Fac Comp & Informat Informat Syst Dept Banha Egypt

Bin Packing Problem (BPP) is one of the main optimization problems in which a set of items of known sizes should be packed into a minimum number of bins. In which the total size of items in each bin is not exceeding the bin capacity. Several approximation algorithms have been suggested that provide an approximate solution to the BPP. Nevertheless, they are not applicable to solve large-scale instances within a reasonable time or obtain an optimal number of bins. In this paper, we propose a modified version of the most recent optimization algorithm squirrel search algorithm (SSA) for solving the one-dimensional bin packing problem (MSBPP). The proposed algorithm is based on an improved best fit heuristic for generating a feasible initial packing of items into bins. During improving the solution, the operator's strategy can take place to obtain an optimized solution for the BPP. To the best of our knowledge, this paper is the first work of applying squirrel search algorithm in a bin packing problem as an example of the optimization problem. The modified algorithm has been tested on various benchmark datasets ranged from easy to hard class dataset. As well as, we compare it against other popular algorithms such as Particle swarm optimization (PSO), African buffalo optimization (ABO) and Crow search algorithm (CSA) to demonstrate its efficiency and accuracy. According to the results of an easy class, the proposed algorithm has achieved an improvement ranged from 16% to 32% for N2C1W1_A instance when compared with other algorithms to reach an optimal result with the least number of iterations. In addition, the average execution time of it beats other compared algorithms with improvement reached up to 91% faster than PSO, 98% faster than ABO and 94% faster than CSA. For medium class, the bin efficiency of the proposed algorithm has been improved by 26% during iterations for N1W1B2R9 instance with minimum number of iterations and least execution time while for hard class,

关键词： Bin packing problem optimization algorithms Squirrel search algorithm Best fit heuristic Operator strategy

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TRANSMISSION-CONSTRAINED GENERATION EXPANSION PLANNING FOR A REAL-WORLD POWER INDUSTRY

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INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE 2023年第1期30卷 12-31页

作者： Ananthan, Bhuvanesh PSN Coll Engn & Technol Dept Elect & Elect Engn Tirunelveli Tamil Nadu India

Transmission-constrained generation expansion planning (TC-GEP) problem for new generating units significantly involves location, capacity and type of fuel. This problem can be solved by adding Optimal Power Flow (OPF) constraints. This study renders an application of the Self-adaptive Differential Evolution (SaDE) algorithm to the TC-GEP problem for multiple horizons, at least cost, for the power generating system of Tamil Nadu, India. TC-GEP problem has been solved for 6-year (till 2022) and 12-year (till 2028) planning horizon by considering the least cost and reliable supply. The problem is solved for six different scenarios on an Indian utility 62 bus test system, and the results are validated with Dynamic Programming (DP). The results of the TC-GEP problem for the year 2028 are compared with the solutions of the GEP problem without transmission constraint. Finally, a comparison is made between the proposed solution and the practically implemented expansion plan for the year 2017 by the Tamil Nadu electricity sector.

关键词： Electric Power Industry Energy Conservation optimization algorithms Transmission Constrained Generation Expansion Planning

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Optimal Cooling Channel Layout in a Hot Enclosure Subject to Natural Convection

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JOURNAL OF HEAT TRANSFER-TRANSACTIONS OF THE ASME 2019年第11期141卷 112502页

作者： Yang, Sam Ordonez, Juan C. Florida State Univ Ctr Adv Power Syst Dept Mech Engn Tallahassee FL 32310 USA

We analyzed the optimal cooling channel layouts emerged from minimizing the total entropy generation ST and mean enclosure temperature T in a hot enclosure subject to natural convection. The conservation of mass, momentum, and energy were solved numerically in two-dimensional (2D) space using the finite element method, and an ant colony optimization algorithm was employed to determine the optimal layouts with respect to the number of cooling channels (N) and Rayleigh number (Ra). The total allocatable cooling channel area was fixed in all cases and thus each channel area decreased with increasing N. Subsequently, we examined the heat transfer and flow characteristics based on temperature field, streamlines, and local Bejan number of each optimum and deduced the following: (1) All optimal channel layouts were symmetric about the vertical enclosure centerline;however, the optima resulting in S-T,S-min and (T) over bar (min) did not always coincide and depended heavily on the flow configuration dictated by N and Ra;(2) the competing nature between heat transfer and its irreversibility was pronounced at low Ra and N when convection and fluid friction were ineffective;and (3) the first and second law performance improved as N increased in most cases. Furthermore, results verified the global convergence and robustness of the ant colony optimization approach in solving a layout optimization problem with pure natural convection.

关键词： optimization Natural convection Viscosity Rayleigh number Flow (Dynamics) Convection Cylinders Cooling optimization algorithms Finite element methods Temperature Entropy Heat transfer

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Noninferior Solution Grey Wolf Optimizer with an Independent Local Search Mechanism for Solving Economic Load Dispatch Problems

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ENERGIES 2019年第12期12卷 2274-2274页

作者： Xu, Jianzhong Yan, Fu Yun, Kumchol Su, Lifei Li, Fengshu Guan, Jun Harbin Engn Univ Sch Econ & Management 145 Nantong St Harbin 150001 Heilongjiang Peoples R China Kim Il Sung Univ Fac Mech Pyongyang 950003 North Korea Northeast Agr Univ Coll Resources & Environm 600 Changjiang Rd Harbin 150030 Heilongjiang Peoples R China Northeast Forestry Univ Coll Econ & Management 26 Hexing Rd Harbin 150040 Heilongjiang Peoples R China

The economic load dispatch (ELD) problem is a complex optimization problem in power systems. The main task for this optimization problem is to minimize the total fuel cost of generators while also meeting the conditional constraints of valve-point loading effects, prohibited operating zones, and nonsmooth cost functions. In this paper, a novel grey wolf optimization (GWO), abbreviated as NGWO, is proposed to solve the ELD problem by introducing an independent local search strategy and a noninferior solution neighborhood independent local search technique to the original GWO algorithm to achieve the best problem solution. A local search strategy is added to the standard GWO algorithm in the NGWO, which is called GWOI, to search the local neighborhood of the global optimal point in depth and to guarantee a better candidate. In addition, a noninferior solution neighborhood independent local search method is introduced into the GWOI algorithm to find a better solution in the noninferior solution neighborhood and ensure the high probability of jumping out of the local optimum. The feasibility of the proposed NGWO method is verified on five different power systems, and it is compared with other selected methods in terms of the solution quality, convergence rate, and robustness. The compared experimental results indicate that the proposed NGWO method can efficiently solve ELD problems with higher-quality solutions.

关键词： grey wolf optimizer (GWO) noninferior solution local search mechanism economic load dispatch problems (ELD) optimization algorithms

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Decision-Making Challenges of Sustainable Groundwater Strategy under Multi-Event Pressure in Arid Environments: The Diyala River Basin in Iraq

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WATER 2019年第10期11卷 2160页

作者： Al-Jawad, Jafar Y. Al-Jawad, Sadik B. Kalin, Robert M. Univ Strathclyde Glasgow Dept Civil & Environm Engn Glasgow G1 1XJ Lanark Scotland Private Hydrogeologist Expert & Govt Consultant Baghdad 10001 Iraq

A robust decision-making tool is needed to meet sustainability challenges and to manage water resources that are under development pressure, water scarcity, and climate change impact. To tackle such challenges, optimization modelling can be employed to explore regional sustainable management scenarios of groundwater exploitation. Multi-objective management modelling of various alternatives was developed for the Diyala River Basin in Iraq using Borg multi-objectives evolutionary algorithm (MOEA) and epsilon-DSEA algorithms. In almost all modelled cases, the upper aquifer storage is predicted to be depleted after 40 years due to large water demands and regional recharge scarcity. Hence, there is a need to develop a strategy to reduce water stresses by 45% to achieve sustainability within the next 25 years. optimization modelling successfully generated future predictions that can be used by decision makers to manage the predicted groundwater shortages in the future.

关键词： decision-making tool optimization algorithms sustainable management groundwater exploitation arid environment regional development plan

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Optimal active power dispatch for wind farm based on the improved fatigue load sensitivity

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JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY 2019年第3期11卷 033306-033306页

作者： Liu, Yingming Wang, Yingwei Wang, Xiaodong Miao, Yizhi Shenyang Univ Technol Inst Elect Engn Shenyang 110870 Liaoning Peoples R China

Reasonable active power dispatch for wind farms can reduce the dynamic fatigue loads of wind turbines (WTs) and prolong the service lives of the WTs. An active power dispatch method for wind farms based on the improved fatigue load sensitivity of WT is proposed. According to the WT operating parameters, the fatigue load sensitivity to the power reference value is improved. The analytical equations of the fatigue load sensitivity are rederived, and the accuracies of the fatigue load sensitivity calculations are improved. The wind farm fatigue load minimization is taken as the target, the tracking power reference value is taken as the constraint, and the active power distribution model is established. The quadratic programming optimization algorithm is used to calculate the power reference of each WT. Case studies were conducted with wind farm control for different turbulent winds. The effectiveness of the proposed method is verified by comparing the rainflow cycles and the damage equivalent load.

关键词： optimization algorithms optimization problems Fatigue testing Wind turbines Wind energy

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A Geodesics-Based Surface Parameterization to Assess Aneurysm Progression

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JOURNAL OF BIOMECHANICAL ENGINEERING-TRANSACTIONS OF THE ASME 2016年第5期138卷 054503-054503页

作者： Phan, Ly Courchaine, Katherine Azarbal, Amir Vorp, David Grimm, Cindy Rugonyi, Sandra Intel Corp Design & Technol Solut MS RA4 4032501 NW 229th Hillsboro OR 97124 USA Oregon Hlth & Sci Univ Biomed Engn 3303 SW Bond AveM-C CH13B Portland OR 97239 USA Oregon Hlth & Sci Univ Dept Surg Div Vasc Surg 3181 SW Sam Jackson Pk Rd Portland OR 97239 USA Univ Pittsburgh Dept Bioengn Ctr Bioengn CNBIO Suite 300300 Technol Dr Pittsburgh PA 15219 USA Oregon State Univ Mech Engn 204 Rogers Hall Corvallis OR 97331 USA Oregon Hlth & Sci Univ Biomed Engn 3303 SW Bond AveM-C CH13B Portland OR 97239 USA

Abdominal aortic aneurysm (AAA) intervention and surveillance is currently based on maximum transverse diameter, even though it is recognized that this might not be the best strategy. About 10% of patients with small AAA transverse diameters, for whom intervention is not considered, still rupture;while patients with large AAA transverse diameters, for whom intervention would have been recommended, have stable aneurysms that do not rupture. While maximum transverse diameter is easy to measure and track in clinical practice, one of its main drawbacks is that it does not represent the whole AAA and rupture seldom occurs in the region of maximum transverse diameter. By following maximum transverse diameter alone clinicians are missing information on the shape change dynamics of the AAA, and clues that could lead to better patient care. We propose here a method to register AAA surfaces that were obtained from the same patient at different time points. Our registration method could be used to track the local changes of the patient-specific AAA. To achieve registration, our procedure uses a consistent parameterization of the AAA surfaces followed by strain relaxation. The main assumption of our procedure is that growth of the AAA occurs in such a way that surface strains are smoothly distributed, while regions of small and large surface growth can be differentiated. The proposed methodology has the potential to unravel different patterns of AAA growth that could be used to stratify patient risks.

关键词： optimization Shapes Aneurysms Rupture Surveillance Relaxation (Physics) Dynamics (Mechanics) optimization algorithms

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