The optimal configuration planning of energy hubs in urban integrated energy system using a two-layered optimization method

The integrated energy system is a vital part of distributed energy industries. In addition to this, the optimal economic dispatch model, which takes into account the complementary coordination of multienergy, is an important research topic. Considering the constraints of power balance, energy supply equipment, and energy storage equipment, a basic model of optimal economic dispatch of an integrated energy system is established. On this basis, a multiobjective function solving algorithm of NSGA-II, based on tent map chaos optimization, is proposed. The proposed model and algorithm are applied. The simulation results show that the optimal economic scheduling model of the integrated energy system established in this paper can provide a more economic system operation scheme and reduce the operation cost and risks associated with an integrated energy system. The Non-dominated Sorting Genetic Algorithm-II (NSGA-II) multiobjective function solving algorithm, based on tent map chaos optimization, has better performance and efficiency.

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Analysis of biomass polygeneration integrated energy system based on a mixed-integer nonlinear programming optimization method

Journal of Cleaner Production ◽

10.1016/j.jclepro.2020.122761 ◽

2020 ◽

Vol 271 ◽

pp. 122761 ◽

Cited By ~ 1

Author(s):

Nianyuan Wu ◽

Xiangyan Zhan ◽

Xingyi Zhu ◽

Zhihui Zhang ◽

Jian Lin ◽

...

Keyword(s):

Nonlinear Programming ◽

Energy System ◽

Optimization Method ◽

Mixed Integer Nonlinear Programming ◽

Mixed Integer ◽

Integer Nonlinear Programming ◽

Integrated Energy System

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Research on the Optimal Configuration of Regional Integrated Energy System Based on Production Simulation

Processes ◽

10.3390/pr8080892 ◽

2020 ◽

Vol 8 (8) ◽

pp. 892 ◽

Cited By ~ 1

Author(s):

Tao Shi ◽

Ruan-Ming Huang ◽

Cang-Bi Ding

Keyword(s):

Simulation Method ◽

Energy System ◽

Quantitative Model ◽

Optimal Configuration ◽

Power Characteristics ◽

Load Demand ◽

Integrated Energy System ◽

Output Characteristics ◽

System Configurations

This paper is focused mainly on the production simulation method of a regional integrated energy system under random scenarios for optimal configuration. First, the cooling, heating, and electric load demand of the regional integrated energy system is described quantitatively in the form of time series, as well as the power characteristics of renewable energy, such as wind power and photovoltaic power generation. Then, a typical scenario set of regional integrated energy system configurations considering the random probability characteristics is established through scene clustering. Second, considering the power output characteristics and cost factors of different types of distributed energy, the corresponding technical and economic quantitative model is established. Third, a multi-objective production simulation model of a regional integrated energy system considering configuration constraints and operation constraints is proposed with economic and environmental protection as the main objectives. Finally, the accuracy and effectiveness of the above methods are verified based on a case study of actual engineering.

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Optimal Configuration of Integrated Energy System Based on Energy-Conversion Interface

Applied Sciences ◽

10.3390/app9071367 ◽

2019 ◽

Vol 9 (7) ◽

pp. 1367 ◽

Cited By ~ 1

Author(s):

Zicong Yu ◽

Xiaohua Yang ◽

Lu Zhang ◽

Yongqiang Zhu ◽

Ruihua Xia ◽

...

Keyword(s):

Energy Conversion ◽

Energy System ◽

Optimal Configuration ◽

Energy Utilization ◽

Utilization Efficiency ◽

Environmental Cost ◽

Maintenance Cost ◽

Configuration Model ◽

Energy Prices ◽

Integrated Energy System

Aiming at the optimal configuration of a regional integrated energy system (IES), this paper proposes an energy-conversion interface (ECI) model that simplifies the complex multienergy network into a multi-input–multioutput dual-port network, consequently achieving the energy-coupling relationship between the energy-supply side and the demand side. An optimized configuration model of the ECI was constructed by considering economic performance, such as device-installation cost, operation and maintenance cost, and environmental cost, as well as energy-saving performance, such as energy-utilization efficiency. Then, the ECI optimal-configuration model was established by taking a campus in northern China as an example. To verify the validity of the model, device planning quantity and daily energy scheduling of the integrated energy system of the campus were obtained by solving the model with the particle-swarm optimization method. Finally, sensitivity analysis of the system to energy prices and the reweight approach for the targets are also given in this paper, providing a decision-making basis for system planning.

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Research on the coordinated optimization operation method of Park Comprehensive Energy System Based on master-slave game

E3S Web of Conferences ◽

10.1051/e3sconf/202124501044 ◽

2021 ◽

Vol 245 ◽

pp. 01044

Author(s):

Nan Xu ◽

Bo Zhou ◽

Jing Nie ◽

Yan Song ◽

Zihao Zhao

Keyword(s):

Cost Model ◽

Energy System ◽

Optimization Method ◽

Energy Market ◽

Model Operator ◽

Load Model ◽

Game Equilibrium ◽

Coordinated Optimization ◽

Integrated Energy System ◽

Multi Agent

With the transformation of the energy market from the traditional vertical integrated structure to the interactive competitive structure, the distributed characteristics of the energy system become more and more obvious, and the traditional centralized optimization method is difficult to reveal the interaction between the multi-agent. In this paper, a method based on master-slave game is proposed to optimize the operation of park integrated energy system. Firstly, user load model, user benefit model, operator revenue and cost model are established for park integrated energy system. Secondly, the Stackelberg master-slave game model of interactive optimization operation is established, and the peak cutting compensation price is adjusted. Both of them aim at maximizing their own interests until the game equilibrium is achieved. A distributed cooperative optimization model with one master and many slaves is established and solved by the combination of genetic algorithm and quadratic programming. Finally, an example is given to verify the effectiveness of the proposed method.

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