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  • Open Access

    ARTICLE

    Optimal Configuration of Fault Location Measurement Points in DC Distribution Networks Based on Improved Particle Swarm Optimization Algorithm

    Huanan Yu, Hangyu Li, He Wang, Shiqiang Li*

    Energy Engineering, Vol.121, No.6, pp. 1535-1555, 2024, DOI:10.32604/ee.2024.046936 - 21 May 2024

    Abstract The escalating deployment of distributed power sources and random loads in DC distribution networks has amplified the potential consequences of faults if left uncontrolled. To expedite the process of achieving an optimal configuration of measurement points, this paper presents an optimal configuration scheme for fault location measurement points in DC distribution networks based on an improved particle swarm optimization algorithm. Initially, a measurement point distribution optimization model is formulated, leveraging compressive sensing. The model aims to achieve the minimum number of measurement points while attaining the best compressive sensing reconstruction effect. It incorporates constraints from… More >

  • Open Access

    ARTICLE

    PSO-BP-Based Optimal Allocation Model for Complementary Generation Capacity of the Photovoltaic Power Station

    Zhenfang Liu*, Haibo Liu, Dongmei Zhang

    Energy Engineering, Vol.120, No.7, pp. 1717-1727, 2023, DOI:10.32604/ee.2023.027968 - 04 May 2023

    Abstract To improve the operation efficiency of the photovoltaic power station complementary power generation system, an optimal allocation model of the photovoltaic power station complementary power generation capacity based on PSO-BP is proposed. Particle Swarm Optimization and BP neural network are used to establish the forecasting model, the Markov chain model is used to correct the forecasting error of the model, and the weighted fitting method is used to forecast the annual load curve, to complete the optimal allocation of complementary generating capacity of photovoltaic power stations. The experimental results show that this method reduces the More >

  • Open Access

    ARTICLE

    Optimal Allocation of STATCOM to Enhance Transient Stability Using Imperialist Competitive Algorithm

    Ayman Amer1, Firas M. Makahleh2, Jafar Ababneh3, Hani Attar4, Ahmed Amin Ahmed Solyman5, Mehrdad Ahmadi Kamarposhti6,*, Phatiphat Thounthong7

    Intelligent Automation & Soft Computing, Vol.36, No.3, pp. 3425-3446, 2023, DOI:10.32604/iasc.2023.034854 - 15 March 2023

    Abstract With the daily expansion of global energy consumption, developing the power grids is of uttermost importance. However, building a new transmission line is costly and time-consuming, so utilizing the same lines with possible higher transmission capacity is very cost-effective. In this regard, to increase the capacity of the transmission lines, the flexible alternating current transmission system (FACTS) has been widely used in power grids in recent years by industrialized countries. One of the essential topics in electrical power systems is the reactive power compensation, and the FACTS plays a significant role in controlling the reactive More >

  • Open Access

    ARTICLE

    The Cloud Manufacturing Resource Scheduling Optimization Method Based on Game Theory

    Xiaoxuan Yang*, Zhou Fang

    Journal on Artificial Intelligence, Vol.4, No.4, pp. 229-243, 2022, DOI:10.32604/jai.2022.035368 - 25 May 2023

    Abstract In order to optimize resource integration and optimal scheduling problems in the cloud manufacturing environment, this paper proposes to use load balancing, service cost and service quality as optimization goals for resource scheduling, however, resource providers have resource utilization requirements for cloud manufacturing platforms. In the process of resource optimization scheduling, the interests of all parties have conflicts of interest, which makes it impossible to obtain better optimization results for resource scheduling. Therefore, a multithreaded auto-negotiation method based on the Stackelberg game is proposed to resolve conflicts of interest in the process of resource scheduling.… More >

  • Open Access

    ARTICLE

    Optimal Allocation of Public Transport Hub Based on Load Loss Value and the Economy of Distribution Network

    Yuying Zhang1,2,*, Chen Liang2, Bo Sun2, Qiang Chen3, Mingyang Lei3

    Energy Engineering, Vol.119, No.6, pp. 2211-2229, 2022, DOI:10.32604/ee.2022.020341 - 14 September 2022

    Abstract The rapid development of electric buses has brought a surge in the number of bus hubs and their charging and discharging capacities. Therefore, the location and construction scale of bus hubs will greatly affect the operation costs and benefits of an urban distribution network in the future. Through the scientific and reasonable planning of public transport hubs on the premise of meeting the needs of basic public transport services, it can reduce the negative impact of electric bus charging loads upon the power grids. Furthermore, it can use its flexible operation characteristics to provide flexible… More >

  • Open Access

    ARTICLE

    Optimal Allocation of Comprehensive Resources for Large-Scale Access of Electric Kiln to the Distribution Network

    Dan Wu1, Yanbo Che1, Wei Li2,*, Wei He3, Dongyi Li4

    Energy Engineering, Vol.118, No.5, pp. 1549-1564, 2021, DOI:10.32604/EE.2021.014818 - 16 July 2021

    Abstract With the significant progress of the “coal to electricity” project, the electric kiln equipment began to be connected to the distribution network on a large scale, which caused power quality problems such as low voltage, high harmonic distortion rate, and high reactive power loss. This paper proposes a two-stage power grid comprehensive resource optimization configuration model. A multi-objective optimization solution based on the joint simulation platform of Matlab and OpenDSS is developed. The solution aims to control harmonics and optimize reactive power. In the first stage, a multi-objective optimization model is established to minimize the… More >

  • Open Access

    ARTICLE

    Research on Network Resource Optimal Allocation Algorithm Based on Game Theory

    Xiaojuan Yuan1,2,*

    Intelligent Automation & Soft Computing, Vol.27, No.1, pp. 249-257, 2021, DOI:10.32604/iasc.2021.013637 - 07 January 2021

    Abstract This paper briefly introduced the structure of heterogeneous cellular network and two algorithms which are used for optimizing the network resource allocation scheme: dynamic game algorithm based on spectrum allocation and the game allocation algorithm based on power allocation and alliance. After that, the two algorithms were simulated in MATLAB software and compared with another power iterative allocation algorithm based on non-cooperative game. The results showed that the system energy efficiency of the three algorithms decreased with the increase of the number of small base stations in the network; with the increase of the number More >

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