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Journal articles on the topic 'MULTIOBJECTIVE ECONOMIC LOAD'

Author: Grafiati

Published: 11 September 2023

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1

Yasin, Z. M., N. F. A. Aziz, N. A. Salim, N. A. Wahab, and N. A. Rahmat. "Optimal Economic Load Dispatch using Multiobjective Cuckoo Search Algorithm." Indonesian Journal of Electrical Engineering and Computer Science 12, no. 1 (2018): 168. http://dx.doi.org/10.11591/ijeecs.v12.i1.pp168-174.

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In this paper, Multiobjective Cuckoo Search Algorithm (MOCSA) is developed to solve Economic Load Dispatch (ELD) problem. The main goal of the ELD is to meet the load demand at minimum operating cost by determining the output of the committed generating unit while satisfying system equality and inequality constraints. The problem formulation is based on a multiobjective model in which the multiobjective are defined as fuel cost minimization and carbon emission minimization. MOCSA is based on the inspiration from the brooding parasitism of cuckoo species in nature. Three cases are considered to

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., N. Ramyasri. "FUZZIFIED PSO FOR MULTIOBJECTIVE ECONOMIC LOAD DISPATCH PROBLEM." International Journal of Research in Engineering and Technology 02, no. 08 (2013): 157–62. http://dx.doi.org/10.15623/ijret.2013.0208026.

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Zhang, Guoping, Weijun Wang, Jie Du, and Haoyun Sheng. "Multiobjective Economic Optimal Dispatch for the Island Isolated Microgrid under Uncertainty Based on Interval Optimization." Mathematical Problems in Engineering 2021 (October 11, 2021): 1–14. http://dx.doi.org/10.1155/2021/9983104.

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In order to analyse the impact of renewable generation and load uncertainties on the economic operation optimization of the island microgrid, a multiobjective economic optimal dispatch model under uncertainty based on interval optimization is proposed in this paper. The mathematical model of distributed generation and the prediction model of wind speed and wave generation are established. The uncertainties of renewable generation and load are described by the interval mathematical method. On this basis, the interval multiobjective optimal dispatch model is presented. For the “battery disgustin

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Singh, Nagendra, and Yogendra Kumar. "Multiobjective Economic Load Dispatch Problem Solved by New PSO." Advances in Electrical Engineering 2015 (February 19, 2015): 1–6. http://dx.doi.org/10.1155/2015/536040.

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Proposed in this paper is a new particle swarm optimization technique for the solution of economic load dispatch as well as environmental emission of the thermal power plant with power balance and generation limit constraints. Economic load dispatch is an online problem to minimize the total generating cost of the thermal power plant and satisfy the equality and inequality constraints. Thermal power plants use fossil fuels for the generation of power; fossil fuel emits many toxic gases which pollute the environment. This paper not only considers the economic load dispatch problem to reduce the

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Hou, Hui, Mengya Xue, Yan Xu, et al. "Multiobjective Joint Economic Dispatching of a Microgrid with Multiple Distributed Generation." Energies 11, no. 12 (2018): 3264. http://dx.doi.org/10.3390/en11123264.

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Based on the operation characteristics of each dispatch unit, a multi-objective hierarchical Microgrid (MG) economic dispatch strategy with load level, source-load level, and source-grid-load level is proposed in this paper. The objective functions considered are to minimize each dispatching unit’s comprehensive operating cost (COC), reduce the power fluctuation between the MG and the main grid connect line, and decrease the remaining net load of the MG after dispatch by way of energy storage (ES) and clean energy. Firstly, the load level takes electric vehicles (EVs) as a means of controlling

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Farag, A., S. Al-Baiyat, and T. C. Cheng. "Economic load dispatch multiobjective optimization procedures using linear programming techniques." IEEE Transactions on Power Systems 10, no. 2 (1995): 731–38. http://dx.doi.org/10.1109/59.387910.

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Swain, Rajkishore, Pallab Sarkar, Krishna Chandra Meher, and Chandan Kumar Chanda. "Population variant differential evolution-based multiobjective economic emission load dispatch." International Transactions on Electrical Energy Systems 27, no. 10 (2017): e2378. http://dx.doi.org/10.1002/etep.2378.

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Jain, N. K., Uma Nangia, and Iqbal Singh. "Multiobjective Economic Load Dispatch in 3-D Space by Genetic Algorithm." Journal of The Institution of Engineers (India): Series B 98, no. 5 (2017): 495–501. http://dx.doi.org/10.1007/s40031-017-0280-x.

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Rajesh, Kummari, and N. Visali. "Hybrid method for achieving Pareto front on economic emission dispatch." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 4 (2020): 3358. http://dx.doi.org/10.11591/ijece.v10i4.pp3358-3366.

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In this paper hybrid method, Modified Nondominated Sorted Genetic Algorithm (MNSGA-II) and Modified Population Variant Differential Evolution(MPVDE) have been placed in effect in achieving the best optimal solution of Multiobjective economic emission load dispatch optimization problem. In this technique latter, one is used to enforce the assigned percent of the population and the remaining with the former one. To overcome the premature convergence in an optimization problem diversity preserving operator is employed, from the tradeoff curve the best optimal solution is predicted using fuzzy set

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Singh, Nagendra, Tulika Chakrabarti, Prasun Chakrabarti, et al. "A New PSO Technique Used for the Optimization of Multiobjective Economic Emission Dispatch." Electronics 12, no. 13 (2023): 2960. http://dx.doi.org/10.3390/electronics12132960.

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Most power is generated using fossil fuels like coal, natural gas, and diesel. The contribution of coal to power generation is very high compared to other sources. Almost all thermal power plants use coal as a fuel for power generation. Such sources of fossil fuels are limited and thus the cost of power generation increases. At the same time, the induced toxic gases due to these fossil fuels pollute the environment. The objective of this work is to solve the economic emission dispatch problem. Economic emission dispatch helps to find out how to operate power plants at the minimum cost and indu

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Mousa, A., Kotb Kotb, and Adel Elmekawy. "Hybrid Multiobjective evolutionary Algorithm Based Technique for Economic Emission Load Dispatch Optimization Problem." International Conference on Electrical Engineering 7, no. 7 (2010): 1–12. http://dx.doi.org/10.21608/iceeng.2010.33021.

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Yang, Le, Dakuo He, and Bo Li. "A Selection Hyper-Heuristic Algorithm for Multiobjective Dynamic Economic and Environmental Load Dispatch." Complexity 2020 (January 20, 2020): 1–18. http://dx.doi.org/10.1155/2020/4939268.

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Dynamic economic and environmental load dispatch (DEED) aims to determine the amount of electricity generated from power plants during the planning period to meet load demand while minimizing energy consumption costs and environmental pollution emission indicators subject to the operation requirements. This planning problem is usually expressed using a nonsmooth cost function, taking into account various equality and inequality constraints such as valve-point effects, operational limits, power balance, and ramp rate limits. This paper presents DEED models developed for a system consisting of t

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Mousa, Abd Allah A. "Hybrid ant optimization system for multiobjective economic emission load dispatch problem under fuzziness." Swarm and Evolutionary Computation 18 (October 2014): 11–21. http://dx.doi.org/10.1016/j.swevo.2014.06.002.

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Wan, Xiaofeng, Hai Lian, Xiaohua Ding, Jin Peng, Yining Wu, and Xin Li. "Hierarchical Multiobjective Dispatching Strategy for the Microgrid System Using Modified MOEA/D." Complexity 2020 (September 28, 2020): 1–19. http://dx.doi.org/10.1155/2020/4725808.

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The large-scale electric vehicles connected to the microgrid have brought various challenges to the safe and economic operation of the microgrid. In this paper, a hierarchical microgrid dispatching strategy considering the user-side demand is proposed. According to the operation characteristics of each dispatch unit, the strategy divides the microgrid system into two levels: source-load level and source-grid-load level. At the source-load level, priority should be given to the use of the renewable energy output. On the basis of considering the user demand, energy storage, electric vehicles, an

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Yamaguti, Lucas do Carmo, Juan Manuel Home-Ortiz, Mahdi Pourakbari-Kasmaei, and José Roberto Sanches Mantovani. "Economic/Environmental Optimal Power Flow Using a Multiobjective Convex Formulation." Energies 16, no. 12 (2023): 4651. http://dx.doi.org/10.3390/en16124651.

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This paper addresses the problem of economic/environmental optimal power flow with a multiobjective formulation using a second-order conic programming (SOCP) optimization model. This problem formulation considers renewable energy sources (RES), fossil-fuel-based power generation units, and voltage control. The proposed SOCP model is a stochastic scenario-based approach to deal with RES and load behavior uncertainties. An ε-constrained algorithm is used to handle the following three objective functions: (1) the costs of power generation, (2) active power losses in the branches, and (3) the emis

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Gao, Jinjin, Yuan Zheng, Jianming Li, Xiaoming Zhu, and Kan Kan. "Optimal Model for Complementary Operation of a Photovoltaic-Wind-Pumped Storage System." Mathematical Problems in Engineering 2018 (December 26, 2018): 1–9. http://dx.doi.org/10.1155/2018/5346253.

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An optimization model for the complementary operation of a photovoltaic-wind-pumped storage system is built to make full use of solar and wind energy. Apart from ensuring the maximum economic benefit which is normally used as the only objective, the stable objectives of minimizing the output fluctuation and variation of load and output difference are added to form the multiobjective problems because of lack of study on access capacity of photovoltaic and wind power. The model aims to increase the power benefit and reduce the output fluctuation and variation of load and output difference under

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Mousa, A., and I. El-Desoky. "A Novel Multiobjective Genetic Algorithm Based Technique for Economic Emission Load Dispatch Optimization Problem." International Conference on Electrical Engineering 6, no. 6 (2008): 1–20. http://dx.doi.org/10.21608/iceeng.2008.34524.

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Jain, Narender Kumar, Uma Nangia, and Aishwary Jain. "PSO for Multiobjective Economic Load Dispatch (MELD) for Minimizing Generation Cost and Transmission Losses." Journal of The Institution of Engineers (India): Series B 97, no. 2 (2015): 185–91. http://dx.doi.org/10.1007/s40031-014-0184-y.

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Osman, M. S., M. A. Abo-Sinna та A. A. Mousa. "An ɛ-dominance-based multiobjective genetic algorithm for economic emission load dispatch optimization problem". Electric Power Systems Research 79, № 11 (2009): 1561–67. http://dx.doi.org/10.1016/j.epsr.2009.06.003.

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Bao, Man, Hongqi Zhang, Hao Wu, Chao Zhang, Zixu Wang, and Xiaohui Zhang. "Multiobjective Optimal Dispatching of Smart Grid Based on PSO and SVM." Mobile Information Systems 2022 (January 18, 2022): 1–9. http://dx.doi.org/10.1155/2022/2051773.

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The optimization of microgrid is an important part of smart grid. The global energy consumption is seriously greater than the energy it has, and the environmental pollution brought by it should not be underestimated. If we want to reduce their impact, introducing the optimization of microgrid is a good solution. Short-term load forecasting is a very important prerequisite for microgrid optimization, which lays a solid foundation for the realization of the development goal of environmental protection and the improvement of the economic benefits of microgrid. In this paper, a Multi-PSO-SVM forec

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Almalaq, Abdulaziz, Tawfik Guesmi, and Saleh Albadran. "A Hybrid Chaotic-Based Multiobjective Differential Evolution Technique for Economic Emission Dispatch Problem." Energies 16, no. 12 (2023): 4554. http://dx.doi.org/10.3390/en16124554.

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The economic emission dispatch problem (EEDP) is a nonconvex and nonsmooth multiobjective optimization problem in the power system field. Generally, fuel cost and total emissions of harmful gases are the problem objective functions. The EEDP decision variables are output powers of thermal generating units (TGUs). To make the EEDP problem more practical, valve point loading effects (VPLEs), prohibited operation zones (POZs), and power balance constraints should be included in the problem constraints. In order to solve this complex and constrained EEDP, a new multiobjective optimization techniqu

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Dash, Subrat Kumar, Sivkumar Mishra, and Almoataz Y. Abdelaziz. "A Critical Analysis of Modeling Aspects of D-STATCOMs for Optimal Reactive Power Compensation in Power Distribution Networks." Energies 15, no. 19 (2022): 6908. http://dx.doi.org/10.3390/en15196908.

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Distribution static compensators (D-STATCOMs) can enhance the technical performance of the power distribution network by providing rapid and continuous reactive power support to the connected bus. Accurate modeling and efficient utilization of D-STATCOMs can maximize their utility. In this regard, this article offers a novel current-injection-based D-STATCOM model under the power control mode of operation for the reactive power compensation of the power distribution network. The versatility of the proposed D-STATCOM model is demonstrated by combining it with two of the most established distrib

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Liu, Xiaojuan, and Jian’an Fang. "Long-Term Load Forecasting Based on a Time-Variant Ratio Multiobjective Optimization Fuzzy Time Series Model." Mathematical Problems in Engineering 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/781043.

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Load forecasting problem is a complex nonlinear problem linked with economic and weather factors. Long-term load forecasting provides useful information for maintenance scheduling, adequacy assessment, and limited energy resources for electrical power systems. Fuzzy time series forecasting models can be used for long-term load forecasting. However, the interval length has been chosen arbitrarily in the implementations of known fuzzy time series forecasting models, which has an important impact on the performance of these models. In this paper, a time-variant ratio multiobjective optimization f

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Ma, Li, Chao Zhang, TaoFeng Liu, DingRong Tian, Wei Zhang, and ShuPing Gao. "Research on Optimal Access Point and Capacity of Multiscenario Wind Turbine Based on Voltage Sag." Mathematical Problems in Engineering 2022 (February 28, 2022): 1–13. http://dx.doi.org/10.1155/2022/2368924.

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Aiming at reducing the impact on sensitive loads and the economic losses caused by voltage sags in the distribution network containing wind turbines, a multiobjective mathematical model of the optimal access point and access capacity is established from the three perspectives of the basic costs of wind turbines, the economic losses of voltage sags, and the economic losses of the power grid. A scene generation method based on the similarity of wind curve changes and a scene reduction algorithm based on DPC & k-means are proposed to solve the mathematical problem of wind turbine uncertainty.

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Li, Xin, and Yanjun Fang. "Dynamic Environmental/Economic Scheduling for Microgrid Using Improved MOEA/D-M2M." Mathematical Problems in Engineering 2016 (2016): 1–14. http://dx.doi.org/10.1155/2016/2167153.

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The environmental/economic dynamic scheduling for microgrids (MGs) is a complex multiobjective optimization problem, which usually has dynamic system parameters and constraints. In this paper, a biobjective optimization model of MG scheduling is established. And various types of microsources (like the conventional sources, various types of renewable sources, etc.), electricity markets, and dynamic constraints are considered. A recently proposed MOEA/D-M2M framework is improved (I-MOEA/D-M2M) to solve the real-world MG scheduling problems. In order to deal with the constraints, the processes of

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SIDDIQUE, Nazmul, and Hojjat ADELI. "APPLICATIONS OF GRAVITATIONAL SEARCH ALGORITHM IN ENGINEERING." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 22, no. 8 (2016): 981–90. http://dx.doi.org/10.3846/13923730.2016.1232306.

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Gravitational search algorithm (GSA) is a nature-inspired conceptual framework with roots in gravitational kinematics, a branch of physics that models the motion of masses moving under the influence of gravity. In a recent article the authors reviewed the principles of GSA. This article presents a review of applications of GSA in engineering including combinatorial optimization problems, economic load dispatch problem, economic and emission dispatch problem, optimal power flow problem, optimal reactive power dispatch problem, energy management system problem, clustering and classification prob

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Tan, Mao, Hua-li Yang, Bin Duan, Yong-xin Su, and Feng He. "Optimizing Production Scheduling of Steel Plate Hot Rolling for Economic Load Dispatch under Time-of-Use Electricity Pricing." Mathematical Problems in Engineering 2017 (2017): 1–13. http://dx.doi.org/10.1155/2017/1048081.

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Time-of-Use (TOU) electricity pricing provides an opportunity for industrial users to cut electricity costs. Although many methods for Economic Load Dispatch (ELD) under TOU pricing in continuous industrial processing have been proposed, there are still difficulties in batch-type processing, since power load units are not directly adjustable and nonlinearly depend on production planning and scheduling. In this paper, for hot rolling, a typical batch-type and energy intensive process in steel industry, a production scheduling optimization model for ELD is proposed under TOU pricing, in which th

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Cao, Lixia, Guoliang Feng, Xingong Cheng, and Luhao Wang. "Configuration of smart phase-swapping switches in low-voltage distribution systems based on sequenced participation indices." Measurement and Control 53, no. 7-8 (2020): 1159–70. http://dx.doi.org/10.1177/0020294020920899.

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The smart phase-swapping switches are used to rapidly change the phases of single-phase loads online in low-voltage distribution systems. They can reduce the three-phase imbalance indices. However, the effectiveness of phase-swapping operations is determined by not only the control strategy but also by the quantity and locations of smart phase-swapping switches. In this paper, a configuration method is proposed to determine the preferable quantity and locations of smart phase-swapping switches with considerations of economic benefits and operational requirements. Based on historical load infor

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Jain, N. K., Uma Nangia, and Jyoti Jain. "Multiobjective Economic Load Dispatch Studies in 2-D and 3-D Space by Particle Swarm Optimization Technique." Journal of The Institution of Engineers (India): Series B 100, no. 3 (2019): 233–47. http://dx.doi.org/10.1007/s40031-019-00386-z.

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Lihui, Zhang, Xin He, and Ju Liwei. "A Multiobjective Scheduling Optimization Model for Multienergy Complementary System Integrated by Wind-Photovoltaic-Convention Gas Turbines considering Demand Response." Mathematical Problems in Engineering 2018 (July 31, 2018): 1–16. http://dx.doi.org/10.1155/2018/3208934.

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To utilize the complementary feature of different power sources, wind power plant (WPP), and solar photovoltaic power (PV), convention gas turbines (CGT) and incentive-based demand response (IBDR) are integrated into a multienergy complementary system (MECS) with the implementation of price-based demand response (PBDR). Firstly, the power output model of WPP, PV, and CGT is constructed and the mathematical model of DR is presented. Then, a multiobjective scheduling model is proposed for MECS operation under the objective functions of the maximum economic benefit, the minimum abandoned energy,

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Zheng, Tao, Jing Cao, Yufeng Yang, and Hui Gao. "Considering Source-Charge-Storage Multiple Time Scale Cooperative Control Strategy." Mathematical Problems in Engineering 2021 (May 27, 2021): 1–10. http://dx.doi.org/10.1155/2021/5526783.

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In order to achieve the optimization of power consumption mode, improve user power efficiency, and realize the coordination of power supply and demand, considering the advantages of distributed energy and energy storage, a source-charge-storage multi-time-scale coordinated control strategy is proposed. According to the needs of the hybrid energy system, we analyze the complementary potential of the hybrid energy system from the output side and analyze the response priority mechanism of the integrated energy system equipment, taking the economic cost and pollutant gas emissions as the objective

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Xu, Ye, Na Meng, Xu Wang, Junyuan Tan, and Wei Li. "A Multiobjective Fractional Programming for a CHP System Operation Optimization Based on Energy Intensity." Energies 15, no. 6 (2022): 1965. http://dx.doi.org/10.3390/en15061965.

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The objective of this research is to establish a multiobjective fractional programming (MOFP) model for supporting the operational management of a combined heat and power (CHP) system. Compared with the traditional operational optimization model of the CHP system, the importance of the energy intensity (i.e., the ratio of energy consumption and energy production) was emphasized in the MOFP model, which is considered as the system objective for replacing the common objective of minimizing the economic cost. This innovative transformation effectively reduces excessive energy consumption, accompa

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Tang, Qingfeng, Nian Liu, and Jianhua Zhang. "Optimal Operation Method for Microgrid with Wind/PV/Diesel Generator/Battery and Desalination." Journal of Applied Mathematics 2014 (2014): 1–12. http://dx.doi.org/10.1155/2014/857541.

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The power supply mode of island microgrid with a variety of complementary energy resources is one of the most effective ways to solve the problem of future island power supply. Based on the characteristics of seawater desalination system and water demand of island residents, a power allocation strategy for seawater desalination load, storage batteries, and diesel generators is proposed with the overall consideration of the economic and environmental benefits of system operation. Furthermore, a multiobjective optimal operation model for the island microgrid with wind/photovoltaic/diesel/storage

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Chang, Chen-Yu, and Pei-Fang Tsai. "Multiobjective Decision-Making Model for Power Scheduling Problem in Smart Homes." Sustainability 14, no. 19 (2022): 11867. http://dx.doi.org/10.3390/su141911867.

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The aim of this study was to solve power scheduling issues in smart homes to enable demand response in smart grids. The objective of demand response is to match demand with supply by reflecting supply expectations through consumer price signals, and especially to avoid peak demand during times of high prices and when supply is limited. Three objectives were considered: first, economic rationing by minimizing the total costs for consumers with the given hourly prices; second, to achieve better efficiency in terms of supply and greater stability in a power system by reducing peaks in usage or lo

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Fina, Bernadette, Andreas Fleischhacker, Hans Auer, and Georg Lettner. "Economic Assessment and Business Models of Rooftop Photovoltaic Systems in Multiapartment Buildings: Case Studies for Austria and Germany." Journal of Renewable Energy 2018 (2018): 1–16. http://dx.doi.org/10.1155/2018/9759680.

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This paper analyses the profitability and business models of shared, nonsubsidized PV systems’ usage in multiapartment buildings in Austria in the context of legislative amendments which came into force in July 2017. In addition, it compares the Austrian results with those of Germany, where significantly higher retail electricity prices determine the profitability benchmark. To that end, a multiobjective optimization model is developed for the optimal dimensioning of PV systems and energy storage facilities in keeping with different end user objectives, ranging from minimizing annual electrici

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Zhang, Lihui, He Xin, Jing Wu, Liwei Ju, and Zhongfu Tan. "A Multiobjective Robust Scheduling Optimization Mode for Multienergy Hybrid System Integrated by Wind Power, Solar Photovoltaic Power, and Pumped Storage Power." Mathematical Problems in Engineering 2017 (2017): 1–15. http://dx.doi.org/10.1155/2017/9485127.

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Wind power plant (WPP), photovoltaic generators (PV), cell-gas turbine (CGT), and pumped storage power station (PHSP) are integrated into multienergy hybrid system (MEHS). Firstly, this paper presents MEHS structure and constructs a scheduling model with the objective functions of maximum economic benefit and minimum power output fluctuation. Secondly, in order to relieve the uncertainty influence of WPP and PV on system, robust stochastic theory is introduced to describe uncertainty and propose a multiobjective stochastic scheduling optimization mode by transforming constraint conditions with

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Chen, Guang, Bin Chen, Pan Dai, and Hao Zhou. "A Sustainability-Oriented Multiobjective Optimization Model for Siting and Sizing Distributed Generation Plants in Distribution Systems." Mathematical Problems in Engineering 2013 (2013): 1–11. http://dx.doi.org/10.1155/2013/291930.

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This paper proposes a sustainability-oriented multiobjective optimization model for siting and sizing DG plants in distribution systems. Life cycle exergy (LCE) is used as a unified indicator of the entire system’s environmental sustainability, and it is optimized as an objective function in the model. Other two objective functions include economic cost and expected power loss. Chance constraints are used to control the operation risks caused by the uncertain power loads and renewable energies. A semilinearized simulation method is proposed and combined with the Latin hypercube sampling (LHS)

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Ahmadi Kamarposhti, Mehrdad, Hassan Shokouhandeh, Yahya Gholami Omali, Ilhami Colak, Phatiphat Thounthong, and William Holderbaum. "Optimal Coordination of TCSC and PSS2B Controllers in Electric Power Systems Using MOPSO Multiobjective Algorithm." International Transactions on Electrical Energy Systems 2022 (November 28, 2022): 1–18. http://dx.doi.org/10.1155/2022/5233620.

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Oscillations are an intrinsic phenomenon in interconnected power systems, leading to steady-state stability, safety decline, transmission power limitation, and electric power systems’ ineffective exploitation by developing power systems, particularly by connecting these systems to low-load lines. In addition, they affect the economic performance of the systems. In this study, PSS2B power system stabilizers and TCSC compensators are used to improve the stability margin of power systems. In order to coordinate TCSC compensators, the MOPSO multiobjective algorithm with integral of the time-weight

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Xu, Chunyan, and Cai Song. "Optimization of Innovation and Entrepreneurship Education and Training System in Colleges and Universities Based on OpenStack Cloud Computing." Scientific Programming 2022 (August 30, 2022): 1–12. http://dx.doi.org/10.1155/2022/2868499.

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With economic globalization and rapid development of science and technology, many colleges and universities pay more and more attention to the cultivation of students’ innovative thinking and creativity, and innovation and entrepreneurship education has also become an important part of the education system. Due to the current unevenness of teachers in innovation and entrepreneurship education in colleges and universities, high training cost, and lack of strong atmosphere, this paper optimizes the innovation and entrepreneurship education and training system in colleges and universities through

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Karandikar, H. M., and F. Mistree. "Tailoring Composite Materials Through Optimal Selection of Their Constituents." Journal of Mechanical Design 114, no. 3 (1992): 451–58. http://dx.doi.org/10.1115/1.2926573.

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The use of composite materials has provided designers with increased opportunities for tailoring structures and materials to meet load requirements and changing and demanding environments. This has led to their increased use in structural applications. As with traditional materials the selection of an appropriate material for a design is important. In case of design using composite materials the selection of a material consists of selecting a fiber-resin combination which meets all design requirements. This involves choosing the fiber, the resin, and the proportion of these two constituents in

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Chu, Xiaolin, Peng Wang, and Dong Yang. "Multiobjective Model for Microgrids Integrating Electric Vehicles to Grid and Building Based on Interest Balance." Mathematical Problems in Engineering 2022 (December 27, 2022): 1–18. http://dx.doi.org/10.1155/2022/4578868.

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Microgrids allow energy exchange among multiple interconnected microgrids for greater energy efficiency and collective economic interest. However, in some cases, the benefit of some microgrids within the network may not be uncertain. In view of the increasing development of electric vehicles (EVs), a multiobjective model is proposed to improve the performance of microgrids by integrating electric vehicles-to-grid (V2G) and vehicles-to-building (V2B) based on global and individual benefit balance. Two reference models are built to verify the validity of the proposed method, and models are formu

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Ramadan, Ashraf, Mohamed Ebeed, Salah Kamel, Ahmed M. Agwa, and Marcos Tostado-Véliz. "The Probabilistic Optimal Integration of Renewable Distributed Generators Considering the Time-Varying Load Based on an Artificial Gorilla Troops Optimizer." Energies 15, no. 4 (2022): 1302. http://dx.doi.org/10.3390/en15041302.

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Renewable distributed generators (RDGs) are widely embedded in electrical distribution networks due to their economic, technological, and environmental benefits. However, the main problem with RDGs, photovoltaic generators, and wind turbines, in particular, is that their output powers are constantly changing due to variations in sun irradiation and wind speed, leading to power system uncertainty. Such uncertainties should be taken into account when selecting the optimal allocation of RDGs. The main innovation of this paper is a proposed efficient metaheuristic optimization technique for the si

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Liu, Cong, Xianghua Li, Jian Liang, et al. "A Multistep Iterative Ranking Learning Method for Optimal Project Portfolio Planning of Smart Grid." International Transactions on Electrical Energy Systems 2023 (April 22, 2023): 1–10. http://dx.doi.org/10.1155/2023/1358099.

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Optimal project portfolio planning is a typical nonconvex, multiobjective, highly constrained, multitemporal coupling, and combinatorial optimization problem. This paper proposes a novel multistep iterative ranking learning method (MIRL) to solve this complex combinatorial optimization problem from massive infrastructure projects of smart grid. The optimal project portfolio planning problem of power grid is formulated as the optimization process of massive project priority sorting with an improved knapsack model. The proposed method dynamically optimizes the best infrastructure project combina

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Li, Fei, Guang Zhang, and Shaohua Hu. "An Algorithm for Optimal Allocation of Water Resources in Receiving Areas Based on Adaptive Decreasing Inertia Weights." Journal of Advanced Transportation 2022 (April 16, 2022): 1–12. http://dx.doi.org/10.1155/2022/3329628.

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As the biggest rigid constraint for high-quality economic and social development, how to improve the carrying capacity of water resources, realize the stable and coordinated development of water resources-ecological environment-economic and social integrated system, and provide water resources guarantee for regional transformation and upgrading development is a major issue in the current social development. This paper firstly selects the minimum loss of water resources allocation as the objective function for mathematical modelling, chooses the particle swarm algorithm as the objective algorit

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Tomczewski, Andrzej, Stanisław Mikulski, Adam Piotrowski, Sławomir Sowa, and Krzysztof Wróbel. "Multicriteria Optimisation of the Structure of a Hybrid Power Supply System for a Single-Family Housing Estate in Poland, Taking into Account Different Electromobility Development Scenarios." Energies 16, no. 10 (2023): 4132. http://dx.doi.org/10.3390/en16104132.

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This article focuses on determining the optimum structure for a hybrid generation and storage system designed to power a single-family housing estate, taking into account the different number of electric vehicles in use and an assumed level of self-consumption of the generated energy. In terms of generation, two generation sections—wind and solar—and a lithium-ion container storage system will be taken into account. With regards to energy consumption, household load curves, determined on the basis of the tariff for residential consumers and modified by a random disturbance, will be taken into

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Khodadadi, Ali, Taher Abedinzadeh, Hasan Alipour, and Jaber Pouladi. "Optimal Operation of Energy Hub Systems under Resiliency Response Options." Journal of Electrical and Computer Engineering 2023 (January 10, 2023): 1–13. http://dx.doi.org/10.1155/2023/2590362.

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The economic and resilient operation of power systems has always been one of the main priorities of energy systems. In spite of improvements in various fields of energy systems, especially power systems, the issue of resilience has become more important. For this purpose, this paper proposes a multiobjective optimization model to improve the economic performance of energy hub systems and improve the resilience of electrical consumers. Also, consumer welfare, which is a function of the energy not supplied index, is maximized over a 24-hour period by considering extreme weather conditions. The ε

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Xue, Wuxia. "Application of Multiobjective Particle Swarm Optimization in Rural Credit System." Journal of Sensors 2021 (December 23, 2021): 1–9. http://dx.doi.org/10.1155/2021/3468479.

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In China’s rural credit system, the problem of credit constraints is prominent. Due to the imperfect credit market, a large number of rural residents have credit constraints. Rural credit constraint is a serious problem restricting China’s rural economic development. Aimed at solving the rural credit constraints, this paper makes an optimization analysis on the rural credit system and loan decision-making. To more reasonably evaluate customers’ borrowing ability, the credit risk based on farmers’ data on the big data platform is evaluated in this paper. The stacked denoising autoencoder networ

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Miracle, D. Blandina, R. K. Viral, P. M. Tiwari, and Mohit Bansal. "Hybrid Metaheuristic Model for Optimal Economic Load Dispatch in Renewable Hybrid Energy System." International Transactions on Electrical Energy Systems 2023 (April 6, 2023): 1–25. http://dx.doi.org/10.1155/2023/5395658.

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Hybrid generating systems in power networks have emerged as a result of the rapid growth of renewable infrastructure and widespread support for green energy. One of the most significant problems in designing and operating an electric power generation system is the efficient scheduling of all power generation facilities to meet the rising power demand. Economic load dispatch (ELD) is a generic procedure in the electrical power system, and the ELD in power system problems involves scheduling the power generating units to reduce cost and satisfy system constraints. Metaheuristic algorithms are ga

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Sheng, Wanxing, Qing Duan, Haoqing Wang, Guanglin Sha, and Chunyan Ma. "Archive-Based Multiobjective Evolutionary Algorithm for Large-Scale EV Charging Station Energy Management." Discrete Dynamics in Nature and Society 2021 (September 2, 2021): 1–6. http://dx.doi.org/10.1155/2021/2000041.

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With the increase in renewable energy, improving the utilization rate of renewable energy is of great practical significance. The microgrid has been proved effective in addressing this issue. As a flexible load, electric vehicles are connected to the grid on a large scale, which will have an impact on the grid. In order to solve this problem, this paper proposes a microgrid energy management model for electric vehicle charging stations, which takes into account the economics of microgrid operation and the stability of grid operation. Subsequently, this paper proposes an evolutionary multiobjec

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Ricco, Juan Tamassia, Rogerio Frauendorf Faria Coimbra, and Guilherme Ferreira Gomes. "Multiobjective optimization of the LASER aircraft wing’s composite structural design." Aircraft Engineering and Aerospace Technology 93, no. 6 (2021): 995–1010. http://dx.doi.org/10.1108/aeat-06-2020-0113.

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Purpose Aircraft wings, one of the most important parts of an aircraft, have seen changes in its topological and design arrangement of both the internal structures and external shape during the past decades. This study, a numerical, aims to minimize the weight of multilaminate composite aerospace structures using multiobjective optimization. Design/methodology/approach The methodology started with the determination of the requirements, both imposed by the certifying authority and those inherent to the light, aerobatic, simple, economic and robust (LASER) project. After defining the requirement

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