Optimal Locating and Sizing of BESSs in Distribution Network Based on Multi-Objective Memetic Salp Swarm Algorithm

Peng, Sui; Gong, Xiaoxue; Liu, Xinmiao; Lu, Xun; Ai, Xiaomeng

doi:10.3389/fenrg.2021.707718

Cited by 8 publications

(2 citation statements)

References 38 publications

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“…First, the ideal points for every single goal are identified and a compromise solution is then searched for, starting from a single ideal point. Peng et al [35] objectively selected the best compromise Pareto solution from a repository with the ideal point decision method (IPDM), which achieves the best trade-off between different objectives. Wang et al [36] established a multiobjective decision model for module configuration optimization.…”

Section: The Ideal Point Methodsmentioning

confidence: 99%

Multiobjective-Based Decision-Making for the Optimization of an Urban Passenger Traffic System Structure

Zhang,

Song,

Zhou

et al. 2023

Sustainability

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Urbanization has aggravated the conflict between continuously increasing urban travel demands and limited supply. Moreover, the inability to expand urban roads due to previous land planning and utilization has resulted in significant traffic congestion, traffic safety issues, and environmental problems. To address these problems, this work attempted to develop a multiobjective model to optimize the passenger traffic system while considering carbon emissions, transport costs, and resource utilization. In addition, the ideal point method and entropy weight method were combined to obtain the optimal solution. Based on the operational data on traffic modes and travel data on passengers in Harbin, the northern capital of China, the proposed method was used to solve the case in Harbin. The results show that the proportion of buses increased by 1.05%, that of subways increased by 36.60%, that of taxis decreased by 11.86%, and that of private cars decreased by 25.78% after optimization. Furthermore, the analyses of the results show that the optimized passenger traffic system structure can promote the sustainable development of urban transport and demonstrate the practicality of the proposed method for solving multiobjective optimization problems. Relative to the ideal point method and genetic algorithm, the proposed method is more applicable for optimizing the passenger traffic structure in Harbin. In addition, this study explored the sensitivity of the optimization goals to the four motorized modes. The results show that subways and private cars are the key areas to prioritize in adjusting the urban passenger traffic system structure. Based on the analysis results, recommendations for the development of transportation in Harbin are given. This study provides a reference for decision-makers to formulate policies for the urban sustainable development of Harbin as well as for transportation development in other cities.

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Section: The Ideal Point Methodsmentioning

confidence: 99%

Multiobjective-Based Decision-Making for the Optimization of an Urban Passenger Traffic System Structure

Zhang,

Song,

Zhou

et al. 2023

Sustainability

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“…It is an algorithm inspired by the swarming and feeding behavior of salp in the seas. This approach has been used for a wide range of optimization problems, most notably in 84 – 87 . This method was especially intended to handle the challenge of sizing renewable energy plants 88 – 91 .…”

Section: Optimization Algorithmsmentioning

confidence: 99%

Optimal sizing and location of grid-interfaced PV, PHES, and ultra capacitor systems to replace LFO and HFO based power generations

Amoussou,

Tanyi,

Agajie

et al. 2024

Sci Rep

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The impacts of climate change, combined with the depletion of fossil fuel reserves, are forcing human civilizations to reconsider the design of electricity generation systems to gradually and extensively incorporate renewable energies. This study aims to investigate the technical and economic aspects of replacing all heavy fuel oil (HFO) and light fuel oil (LFO) thermal power plants connected to the electricity grid in southern Cameroon. The proposed renewable energy system consists of a solar photovoltaic (PV) field, a pumped hydroelectric energy storage (PHES) system, and an ultra-capacitor energy storage system. The economic and technical performance of the new renewable energy system was assessed using metrics such as total annualized project cost (TAC), loss of load probability (LOLP), and loss of power supply probability (LPSP). The Multi-Objective Bonobo Optimizer (MOBO) was used to both size the components of the new renewable energy system and choose the best location for the solar PV array. The results achieved using MOBO were superior to those obtained from other known optimization techniques. Using metaheuristics for renewable energy system sizing necessitated the creation of mathematical models of renewable energy system components and techno-economic decision criteria under MATLAB software. Based on the results for the deficit rate (LPSP) of zero, the installation of the photovoltaic field in Bafoussam had the lowest TAC of around 52.78 × 106€ when compared to the results for Yaoundé, Bamenda, Douala, and Limbe. Finally, the project profitability analysis determined that the project is financially viable when the energy produced by the renewable energy systems is sold at an average price of 0.12 €/kWh.

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Integration of Photovoltaic Units, Wind Turbine Units, Battery Energy Storage System, and Capacitor Bank in the Distribution System for Minimizing Total Costs Considering Harmonic Distortions

Pham

2023

Iran J Sci Technol Trans Electr Eng

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Optimal Locating and Sizing of BESSs in Distribution Network Based on Multi-Objective Memetic Salp Swarm Algorithm

Cited by 8 publications

References 38 publications

Multiobjective-Based Decision-Making for the Optimization of an Urban Passenger Traffic System Structure

Multiobjective-Based Decision-Making for the Optimization of an Urban Passenger Traffic System Structure

Optimal sizing and location of grid-interfaced PV, PHES, and ultra capacitor systems to replace LFO and HFO based power generations

Integration of Photovoltaic Units, Wind Turbine Units, Battery Energy Storage System, and Capacitor Bank in the Distribution System for Minimizing Total Costs Considering Harmonic Distortions

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