Temat: scheduling strategy

Skocz do pozycji: 1.

Tytuł:: Research on optimal scheduling strategy of source-grid-load-storage in rural low-voltage distribution network
Autorzy:: Lei, Zhimin
Pei, Qianwen
Lian, Junrong
Song, Jinjin
Zhang, Zhaoxu
Tematy:: energy scheduling
scheduling strategy
PPO
rural low-voltage distribution network
source-grid-load-storage integrated system; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Czasopisma i Monografie PAN
Powiązania:: https://bibliotekanauki.pl/articles/59111772.pdf Link otwiera się w nowym oknie
Opis:: The increasing demand for centralised power consumption in rural agriculture may result in low voltage and three-phase imbalance issues at the end of the distribution network. Furthermore, the extensive implementation of distributed photovoltaic (PV) systems may cause an imbalance between agricultural power load and PV output, exacerbating the issue of PV losses. In this paper, an optimal scheduling strategy for an integrated source-network-load-storage system is proposed to solve the above problems. The proposed strategy involves a dispatch model that includes PV power generation and energy storage, with the objective of maximising PV consumption and minimising operating costs. The PPO algorithm is finally employed to solve the cooperative optimisation model for source-grid-load-storage. The proposed scheduling strategy has been validated through examples, and the results demonstrate its effectiveness in ensuring the economic and safe operation of rural distribution networks.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: A self-scheduling strategy of virtual power plant with electric vehicles considering margin indexes
Autorzy:: Jiao, Fengshun
Deng, Yongsheng
Li, Duo
Wei, Bo
Yue, Chengyan
Cheng, Meng
Zhang, Yapeng
Zhang, Jiarui
Tematy:: electric vehicle (EV)
response time margin (RTM)
scheduling strategy
state of charge margin (SOCM)
virtual power plant (VPP); Pokaż więcej
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:: https://bibliotekanauki.pl/articles/949880.pdf Link otwiera się w nowym oknie
Opis:: From the perspective of a virtual power plant (VPP) with electric vehicles (EVs), a self-scheduling strategy considering the response time margin (RTM) and state of charge margin (SOCM) is proposed. Firstly, considering the response state of the state of charge (SOC) and charge-discharge state of EVs, a VPP based response capacity determination model of EVs is established. Then, RTM and SOCM indexes are introduced on the basis of the power system scheduling target and the EV users’ traveling demands. The RTM and SOCM indices are calculated and then are used to generate a priority sequence of responsive EVs for the VPP. In the process of the scheduling period and rolling iteration, the scheduling schemes of the EVs in the VPP for multiple time periods are determined. Finally, the VPP self-scheduling strategy is validated by taking an VPP containing three kinds of EV users as an example. Simulation results show that with the proposed strategy, the VPP is able to respond to the scheduling power from the power system, while ensuring the traveling demands of the EV users at the same time.
Dostawca treści:: Biblioteka Nauki

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na półce

Skocz do pozycji: 3.

Tytuł:: Optimizing plants maintenance cost using strategic switching approach
Autorzy:: Kareem, B.
Tematy:: maintenance
strategy
optimality
scheduling
deterioration
switching
plant; Pokaż więcej
Wydawca:: Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
Powiązania:: https://bibliotekanauki.pl/articles/409124.pdf Link otwiera się w nowym oknie
Opis:: Inadequate supply of public electricity in Nigeria has affected the productivity of many manufacturing industries. Electric generating plant is being used as a standby supplement to public electricity at outage hours. The high cost of running and maintenance of this generating plant has adversely affected the sustainability of the industry. A maintenance strategic switching approach was developed to minimize the cost of running the electric generating plant in the industries. Maintenance strategic switching and cost control parameters are preventive, repair/corrective and replacement. The maintenance cycle for each of the components served as tool for the determination of cumulative sum of maintenance cost from which the minimum cost schedule was selected. Data collected on power machinery from a water generating company was used to test the model. The least probability of failure (non-progressive deterioration) for components was recommended for adoption. There was a significant saving in maintenance cost of components under the non-progressive deterioration. In the 750 schedule, while the cost of maintenance with progressive deterioration was N149, 677, that of non-progressive, least failure probability was N75, 960.35 with savings of 49.25% over the former. Therefore, most economic schedule was 750 cycles. This scheme predicted for the organization the optimal maintenance strategy to utilize.
Dostawca treści:: Biblioteka Nauki

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na półce

Skocz do pozycji: 4.

Tytuł:: Cellular particle swarm optimization with a simple adaptive local search strategy for the permutation flow shop scheduling problem
Autorzy:: Seck-Tuoh-Mora, Juan C.
Medina-Marin, Joselito
Martinez-Gomez, Erick S.
Hernandez-Gress, Eva S.
Hernandez-Romero, Norberto
Volpi-Leon, Valeria
Tematy:: flow shop
particle swarm optimization (PSO)
local search strategy
hybrid search method
cellular automata
scheduling; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:: https://bibliotekanauki.pl/articles/230060.pdf Link otwiera się w nowym oknie
Opis:: Permutation flow shop scheduling problem deals with the production planning of a number of jobs processed by a set of machines in the same order. Several metaheuristics have been proposed for minimizing the makespan of this problem. Taking as basis the previous Alternate Two-Phase PSO (ATPPSO) method and the neighborhood concepts of the Cellular PSO algorithm proposed for continuous problems, this paper proposes the improvement of ATPPSO with a simple adaptive local search strategy (called CAPSO-SALS) to enhance its performance. CAPSO-SALS keeps the simplicity of ATPPSO and boosts the local search based on a neighborhood for every solution. Neighbors are produced by interchanges or insertions of jobs which are selected by a linear roulette scheme depending of the makespan of the best personal positions. The performance of CAPSO-SALS is evaluated using the 12 different sets of Taillard’s benchmark problems and then is contrasted with the original and another previous enhancement of the ATPPSO algorithm. Finally, CAPSO-SALS is compared as well with other ten classic and state-of-art metaheuristics, obtaining satisfactory results.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 5.

Tytuł:: Production management system in a modern coal and coke company based on the demand and quality of the exploited raw material in the aspect of building a service-oriented architecture
Autorzy:: Dyczko, Artur
Tematy:: production quality management
quality strategy
quality management policy
geological modelling of deposit
production scheduling
IT systems architecture
zarządzanie jakością produkcji
strategia jakości
polityka zarządzania jakością
modelowanie geologiczne złoża
harmonogramowanie produkcji
architektura systemów informatycznych; Pokaż więcej
Wydawca:: Główny Instytut Górnictwa
Powiązania:: https://bibliotekanauki.pl/articles/2201432.pdf Link otwiera się w nowym oknie
Opis:: The paper deals with the implementation of the JSW Capital Group’s (Poland) Demand and Quality Driven Production Management System (SPPJ – System Zarządzania Produkcją oparty na Popycie i Jakości) using a service-oriented architecture (SOA). The main components of the SPPJ architecture have been characterized, and the scope of their integration has been defined. The individual parts in the first area, i.e. quality management, have been described in detail. Due to the extensive nature of the issue, components in other areas, i.e. planning and scheduling, coal extraction and processing, coke production, as well as sales and logistics, have only been signalled. Results of the analysis of the implementation of particular components of SPPJ areas have also been presented. The development of the system and the way of implementation in a mining environment is important from the perspective of achieving the superior objective of the JSW Capital Group’s Quality Programme, which is to increase the efficiency of management of the exploited deposit and the volume of commercial product supply.
Dostawca treści:: Biblioteka Nauki

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