Power system stochastic optimal dispatch considering thermal and electrical coordination

Fang, Yuchen; Zhao, Shanshan; Wang, Nan; Li, Zhiwei; Liu, Jinshan

doi:10.1016/j.ijepes.2019.03.065

Cited by 15 publications

(5 citation statements)

References 14 publications

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“…Por otro lado, los términos reparto energético (Yuan et al, 2017), reparto económico (Beigvand et al, 2017;Jiang et al, 2017;Ghaemi et al, 2021), reparto óptimo (Fang et al, 2019), compromiso de unidad (Elkamel et al, 2021;AlHajri et al, 2021), planes de expansión (Mehrabadi et al, 2020), y distribución de recursos (Wenzel et al, 2016) se emplean en aplicaciones similares a los términos MES y EH, e incluso existen artículos en los que ninguno de los anteriores se mencionan expresamente pero igualmente están relacionados con los sistemas de producción continuos, incluyendo la gestión energética en viviendas (Mohammadi et al, 2018), hogares inteligentes (Zamanloo et al, 2021;Mansouri et al, 2021), redes de distribución (Fu et al, 2019), marcos de trabajo multiagente (Salehpour et al, 2021), y unidades de desalación acopladas a invernaderos. El modelo eTransport es otro ejemplo que, de acuerdo con sus autores, se ha desarrollado «en torno a casos de estudios presentados por patrocinadores industriales» (Bakken et al, 2007), mucho antes de que MG, VPP, EH y MES empezaran a crecer en popularidad.…”

Section: Otros Términosunclassified

Producción, control y gestión distribuida de energía: una revisión de terminología y enfoques habituales

Ramos-Teodoro

Rodríguez

2022

Rev. iberoam. autom. inform. ind.

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Durante las últimas décadas, las líneas de investigación relacionadas con la producción distribuida y la gestión energética han dado lugar a la introducción de términos nuevos que aluden a sistemas de producción continuos y su diseño óptimo, planificación, control o modelado. Aunque algunos de estos se han originado en el campo del análisis y operación de la red eléctrica, y su posterior extensión a otras fuentes de energía, todos comparten algunos rasgos comunes que permiten su análisis desde una perspectiva holística. En este artículo, se lleva a cabo una revisión de diferentes enfoques actuales con el objetivo de ofrecer una visión global y sencilla del estado actual de estos conceptos a los lectores. Para ello, se definen primeramente los elementos más significativos presentes en las publicaciones: terminología empleada, contexto, propósito, tratamiento matemático, estrategias de optimización y herramientas. Esto ha servido para realizar una clasificación, en forma de tabla, de artículos más representativos de entre los disponibles en la literatura, así como un análisis comparativo, a fin de dilucidar posibles nichos de investigación en este tema. Las principales concusiones ponen de manifiesto una escasa realización de experimentos en instalaciones reales y una generalizada omisión de criterios medioambientales, cuando se trata del diseño y operación de este tipo de sistemas.

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Section: Otros Términosunclassified

Producción, control y gestión distribuida de energía: una revisión de terminología y enfoques habituales

Ramos-Teodoro

Rodríguez

2022

Rev. iberoam. autom. inform. ind.

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“…In this paper, it is assumed that the EV will charge every day. The relationship between the initial soc0 and the daily mileage of the EV is % 100 ) 1 ( 0 u e d d soc (5) where de is the maximum mileage of EV batteries.…”

Section: Model Of Ev Charge and Discharge Loadmentioning

confidence: 99%

“…Considering that the optimal scheduling model of the CHP system is a large-scale non-linear programming model, which is difficult to be solved effectively by traditional optimization algorithm, the whole optimal scheduling problem is divided into power system sub-problem and thermal system master problem based on Benders decomposition algorithm [5,9]. The improved particle swarm optimization algorithm is used to optimize the decomposed systems.…”

Section: Model Solutionmentioning

confidence: 99%

“…For the optimal dispatch of EVs coordinated wind farms, a hierarchical control strategy is proposed in [4] in order to reasonably arrange the charging and discharging of EVs to smooth the output of wind power. For the establishment of the CHP system coordinated operation model and the solution of optimal dispatching problem, Fang et al [5] proposed the thermoelectric coordinated optimal scheduling model considering the energy storage characteristics of the district heating network and used Benders decomposition algorithm to solve the model.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Dispatch of Combined Heat and Power System Considering Adequacy Resources on Demand Side

Zhao

2022

Advances in Energy Research and Development

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In order to improve the flexibility of the power system, alleviate the problem of wind power curtailment in the heating season in North China, Northeast China and Northwest China, and realize the coordinated operation of the demand side and supply side resources, this paper proposes that the demand side resources include the flexible heat load considering the users’ thermal comfort, the peak-valley time-of-use electricity price demand response, and the orderly charge and discharge of electric vehicles into the power grid. On this basis, the green economic dispatching model of combined heat and power system is established. Then, the Benders decomposition method is used to realize the decomposition and iterative of the thermoelectric system in the outer layer, and the improved particle swarm optimization algorithm is nested in the inner layer for optimizing the solution. Example analysis were given to show that the proposed strategy and model can effectively reduce the total cost of system power supply and improve the accommodation of wind power.

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“…The literature [9] proposed that with the increasing integration of distributed energy sources such as distributed generation and energy storage systems, distribution system operators face a series of challenges in the distribution network, such as voltage deviation, supply reliability and power quality issues. The literature [10] proposed an inrush second-order cone programming domain to demonstrate that the optimal global solution for the radial distribution system with optimal power factor can be obtained when the power consumption of all nodes is non-negative.…”

Section: Introductionmentioning

confidence: 99%

Analysis of intelligent agent operation strategy of power system scheduling based on intelligent optimization algorithm

Zuo,

Yang,

et al. 2023

Applied Mathematics and Nonlinear Sciences

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This paper first explores the basic process and characteristics of the intelligent algorithm, calculates its fitness function after setting and initializing the intelligent algorithm population, and iterates continuously to obtain a satisfactory optimal solution on the basis of the initialized stochastic solution. Then the optimization of the firefly algorithm is studied. After initializing the firefly population, the random attraction model and the probability factor are introduced to optimize the algorithm. Then, the power scheduling intelligent agent strategy is studied in depth, and the structure and operation process of the intelligent agent operation strategy is determined, as well as its application areas are studied. Finally, the effect of grid load forecasting by power dispatching intelligent agents is analyzed and compared before and after the application of intelligent agent operation strategy in the power system. In terms of grid load prediction accuracy, the actual and prediction errors are basically between 0.02-0.16, which is very close to the actual value. In terms of user satisfaction, the previous user satisfaction was basically 0.75-0.8, and the maximum satisfaction was basically increased to more than 0.9 after applying the intelligent agent operation strategy. The intelligent agent operation strategy based on an intelligent optimization algorithm can effectively dispatch the power system and improve user satisfaction.

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Power system stochastic optimal dispatch considering thermal and electrical coordination

Cited by 15 publications

References 14 publications

Producción, control y gestión distribuida de energía: una revisión de terminología y enfoques habituales

Producción, control y gestión distribuida de energía: una revisión de terminología y enfoques habituales

Optimal Dispatch of Combined Heat and Power System Considering Adequacy Resources on Demand Side

Analysis of intelligent agent operation strategy of power system scheduling based on intelligent optimization algorithm

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