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  • Open Access


    Identification of Type of a Fault in Distribution System Using Shallow Neural Network with Distributed Generation

    Saurabh Awasthi*, Gagan Singh, Nafees Ahamad

    Energy Engineering, Vol.120, No.4, pp. 811-829, 2023, DOI:10.32604/ee.2023.026863

    Abstract A distributed generation system (DG) has several benefits over a traditional centralized power system. However, the protection area in the case of the distributed generator requires special attention as it encounters stability loss, failure re-closure, fluctuations in voltage, etc. And thereby, it demands immediate attention in identifying the location & type of a fault without delay especially when occurred in a small, distributed generation system, as it would adversely affect the overall system and its operation. In the past, several methods were proposed for classification and localisation of a fault in a distributed generation system. Many of those methods were… More >

  • Open Access


    Electric Vehicle Charging Capacity of Distribution Network Considering Conventional Load Composition

    Pengwei Yang1, Yuqi Cao2, Jie Tan2, Junfa Chen1, Chao Zhang1, Yan Wang1, Haifeng Liang2,*

    Energy Engineering, Vol.120, No.3, pp. 743-762, 2023, DOI:10.32604/ee.2023.024128

    Abstract At present, the large-scale access to electric vehicles (EVs) is exerting considerable pressure on the distribution network. Hence, it is particularly important to analyze the capacity of the distribution network to accommodate EVs. To this end, we propose a method for analyzing the EV capacity of the distribution network by considering the composition of the conventional load. First, the analysis and pretreatment methods for the distribution network architecture and conventional load are proposed. Second, the charging behavior of an EV is simulated by combining the Monte Carlo method and the trip chain theory. After obtaining the temporal and spatial distribution… More >

  • Open Access


    Stability Analysis and Control of DC Distribution System with Electric Vehicles

    Zhijie Zheng1, Song Zhang1, Xiaolei Zhang2, Bo Yang1, Fang Yan3, Xiaoning Ge3,*

    Energy Engineering, Vol.120, No.3, pp. 633-647, 2023, DOI:10.32604/ee.2022.024081

    Abstract The DC distribution network system equipped with a large number of power electronic equipment exhibits weak damping characteristics and is prone to low-frequency and high-frequency unstable oscillations. The current interpretation of the oscillation mechanism has not been unified. Firstly, this paper established the complete state-space model of the distribution system consisting of a large number of electric vehicles, characteristic equation of the distribution network system is derived by establishing a state-space model, and simplified reduced-order equations describing the low-frequency oscillation and the high-frequency oscillation are obtained. Secondly, based on eigenvalue analysis, the oscillation modes and the influence of the key… More >

  • Open Access


    Optimization of the Placement and Size of Photovoltaic Source

    Maawiya Ould Sidi1,*, Mustafa Mosbah2, Rabie Zine3

    CMC-Computers, Materials & Continua, Vol.74, No.1, pp. 1855-1870, 2023, DOI:10.32604/cmc.2023.030032

    Abstract This paper presents a new optimization study of the placement and size of a photovoltaic source (PVS) in a distribution grid, based on annual records of meteorological parameters (irradiance, temperature). Based on the recorded data, the production output as well as the daily average power (24-h vector) of the PVS is extracted over the year. When a power vector is available, it can be used as an input when searching for the optimal size of the PVS. This allows to take into account the constraint of the variation of the power generated by this source considering the variation of the… More >

  • Open Access


    Voltage Profile Enhancement and Power Loss Reduction with Economic Feasibility Using Small Capacity Distribution Transformers

    Rasool M. Imran1,2,*, Mohammed R. Saeed1, Mohammed Amer Mohammed3, Osama A. Suhry3, Ihsan H. Abdulqadder4, Hasan Wahhab Salih5, Mohammed R. Almallah6, Firas M. F. Flaih3

    Energy Engineering, Vol.119, No.6, pp. 2447-2467, 2022, DOI:10.32604/ee.2022.021871


    Usually, rural areas can be electrified via three-phase distribution transformers with relatively large capacities. In such areas, low voltage lines are used for long distances, which cause power losses and voltage drop for different types of consumers. Reducing losses and improving voltage profiles in rural distribution networks are significant challenges for electricity distribution companies. However different solutions were proposed in the literature to overcome these challenges, most of them face difficulties when applied in the conventional distribution network. To address the above issues, an applicable solution is proposed in this paper by installing a number of small-capacity distribution transformers instead… More >

  • Open Access


    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

    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 support for the distribution network.… More >

  • Open Access


    Modeling the Proposal of the Simultaneous Purchases and Sales of Electricity and Gas for the Energy Market in a Microgrid Using the Harmony Search Algorithm

    Zinan Zhou, Yirun Chen, Wensheng Dai*

    Energy Engineering, Vol.119, No.6, pp. 2681-2709, 2022, DOI: 10.32604/ee.2022.021410

    Abstract The use of different energy carriers together, known as an energy hub, has been a hot topic of research in recent years amongst scientists and researchers. The term energy hub refers to the simultaneous operation of various infrastructures for energy generation and transfer, which has gained momentum in the form of microgrids (MGs). This paper introduces a new strategy for the optimal performance of an MG consisting of different energy carriers for each day. In a smart distribution network (DN), MGs can reduce their own costs in the previous-day market by bidding on sales and purchases. The sales and purchases… More >

  • Open Access


    Research on Volt/Var Control of Distribution Networks Based on PPO Algorithm

    Chao Zhu1, Lei Wang1, Dai Pan1, Zifei Wang2, Tao Wang2, Licheng Wang2,*, Chengjin Ye3

    CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.1, pp. 599-609, 2023, DOI:10.32604/cmes.2022.021052

    Abstract In this paper, a model free volt/var control (VVC) algorithm is developed by using deep reinforcement learning (DRL). We transform the VVC problem of distribution networks into the network framework of PPO algorithm, in order to avoid directly solving a large-scale nonlinear optimization problem. We select photovoltaic inverters as agents to adjust system voltage in a distribution network, taking the reactive power output of inverters as action variables. An appropriate reward function is designed to guide the interaction between photovoltaic inverters and the distribution network environment. OPENDSS is used to output system node voltage and network loss. This method realizes… More >

  • Open Access


    Optimal Intelligent Reconfiguration of Distribution Network in the Presence of Distributed Generation and Storage System

    Gang Lei1,*, Chunxiang Xu2

    Energy Engineering, Vol.119, No.5, pp. 2005-2029, 2022, DOI:10.32604/ee.2022.021154

    Abstract In the present paper, the distribution feeder reconfiguration in the presence of distributed generation resources (DGR) and energy storage systems (ESS) is solved in the dynamic form. Since studies on the reconfiguration problem have ignored the grid security and reliability, the non-distributed energy index along with the energy loss and voltage stability indices has been assumed as the objective functions of the given problem. To achieve the mentioned benefits, there are several practical plans in the distribution network. One of these applications is the network rearrangement plan, which is the simplest and least expensive way to add equipment to the… More >

  • Open Access


    An Optimized Algorithm for Renewable Energy Forecasting Based on Machine Learning

    Ziad M. Ali1,2,*, Ahmed M. Galal1,3, Salem Alkhalaf4, Imran Khan5

    Intelligent Automation & Soft Computing, Vol.35, No.1, pp. 755-767, 2023, DOI:10.32604/iasc.2023.027568

    Abstract The large-scale application of renewable energy power generation technology brings new challenges to the operation of traditional power grids and energy management on the load side. Microgrid can effectively solve this problem by using its regulation and flexibility, and is considered to be an ideal platform. The traditional method of computing total transfer capability is difficult due to the central integration of wind farms. As a result, the differential evolution extreme learning machine is offered as a data mining approach for extracting operating rules for the total transfer capability of tie-lines in wind-integrated power systems. K-medoids clustering under the two-dimensional… More >

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