Research on Thermoelectric Power Flow of Distributed Integrated Energy System Based on Model of Heat Network and Power System

2019 ◽  
Author(s):  
Wenxiang Ma ◽  
Wei Deng ◽  
Wei Pei
Keyword(s):  
Power System ◽  
Thermoelectric Power ◽  
Power Flow ◽  
Energy System ◽  
Heat Network ◽  
Integrated Energy System

An Integrated Energy System With Large-Scale Electrical and Thermal Energy Storage Devices

2017 ◽  
Author(s):  
Tian Zhao ◽  
Qun Chen
Keyword(s):  
Power Flow ◽  
Power Plants ◽  
Large Scale ◽  
Thermal Power ◽  
Operation Time ◽  
Energy System ◽  
Energy Storage Devices ◽  
Storage Devices ◽  
Integrated Energy System ◽  
Typical Day

In this contribution we introduced an integrated energy system consists of thermal power plants, combined heat-power (CHP) plants and wind power plants, and aimed to supply electricity and heat to users simultaneously. A large-scale battery, a TES device and heat transfer devices are included also. During the operation time of the battery, the TES device stores the generated heat and meanwhile supplies heat to users. Applying the power flow method, the electro-thermal analogy and the entransy dissipation-based thermal resistance method, we constructed the power flow model of the system. Besides, we optimized the system aimed to minimize wind curtailments. Optimization results presented for a typical day the system reduces wind curtailment percentage from 40.63 % to 13.70 % and supply 5% heat load. Besides, the operation strategy of the battery is to charge at night and discharge in the day.

scholarly journals Online electric network capacity assesment

2020 ◽  
Vol 22 (3) ◽  
pp. 51-59
Author(s):  
A. I. Motovilov ◽  
I. I. Solovejev
Keyword(s):  
Power Systems ◽  
Power System ◽  
Electric Power ◽  
Power Flow ◽  
Linear Equations ◽  
Regression Function ◽  
Energy System ◽  
Network Capacity ◽  
Throughput Capacity ◽  
Electric Network

Reliability of power supply to consumers and the efficient use of energy resources are priority tasks in the process of operational dispatch control of the energy system. Limitations of the throughput capacity of the electric network increases the value of the non-released power reserve, which in case of violation of the normal mode at one electric power facility can lead to a system accident. The aim of the work is to develop an algorithm for assessing the throughput of the electric network. In this study of the steady-state operating modes of the power system, a method is proposed for online modeling of the parameters of the electric power regime and its verification in a real scheme for determining the throughput of the electric grid. To solve the tasks posed in the work, we used: the theory of multivariate experiment, the theory of systems of linear equations, methods of mathematical modeling, software and computer systems Cosmos. The regression function is used to simulate the power flow over a network element. The methods based on the linearized and complete models with the measured values are compared and estimated using the correlation coefficient. The method can be used in the practice of supervisory control and research organizations in solving problems of improving the characteristics of the regimes, planning and operating the power system in real time, as well as the development of electric networks and power systems. The efficiency of the proposed method was verified during the experiment.

scholarly journals The Application of Artificial Intelligence Technology in Smart Energy

2020 ◽  
Vol 185 ◽  
pp. 01037
Author(s):  
Xiaotao Jiang ◽  
Ming Xin Zhao ◽  
Wei Liu ◽  
Ruo Bing Xu
Keyword(s):  
Artificial Intelligence ◽  
Power System ◽  
Power Flow ◽  
Power Grid ◽  
Operation Mode ◽  
Energy System ◽  
Effective Measure ◽  
New Energy ◽  
Artificial Intelligence Technology ◽  
Grid Operation

At present, the development of energy system tends to be clean and intelligent. China has upgraded the development of smart energy to national strategy. As the core link of energy system, power system is widely used, with strong regulation ability and complex control, especially with the increasing proportion of new energy and various forms of consumption. Now the power system presents the characteristics of complex nonlinearity, strong uncertainty and strong coupling. There are many limitations in traditional modeling, optimization and control technology, and artificial intelligence technology will be an effective measure to solve the control and decision-making problems of complex system. Firstly, this paper analyzes the application prospect of artificial intelligence technology in power system and the application of artificial intelligence technology in power grid operation. It establishes the prediction model of power grid operation mode, the model can help operators of power system quickly adjust the power flow to convergence state, and then greatly improve the calculation efficiency of power grid operation mode.

scholarly journals Integrated Energy System Configuration Optimization for Multi-Zone Heat-Supply Network Interaction

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 3052 ◽  
Author(s):  
Tang Bo ◽  
Gao Gangfeng ◽  
Xia Xiangwu ◽  
Yang Xiu
Keyword(s):  
Programming Model ◽  
Clean Energy ◽  
Energy System ◽  
Collaborative Optimization ◽  
Energy Utilization ◽  
System Capacity ◽  
Mixed Integer ◽  
Heat Network ◽  
Network Interaction ◽  
Integrated Energy System

The integrated energy system effectively improves the comprehensive utilization of energy through cascade utilization and coordinated scheduling of various types of energy. Based on the independent integrated energy system, the thermal network interaction between different load characteristic regions is introduced, requiring a minimum thermal grid construction cost, CCHP investment operation cost and carbon emission tax as the comprehensive optimization targets, and making overall optimization to the configuration and operation of the multi-region integrated energy systems. This paper focuses on the planning of equipment capacity of multi-region integrated energy system based on a CCHP system and heat network. Combined with the above comprehensive target and heat network model, a mixed integer linear programming model for a multi-region CCHP system capacity collaborative optimization configuration is established. The integrated energy system, just a numerical model solved with the LINGO software, is presented. Taking a typical urban area in Shanghai as an example, the simulation results show that the integrated energy system with multi-zone heat-suply network interaction compared to the single area CCHP model improved the clean energy utilization of the system, rationally allocates equipment capacity, promotes the local consumption of distributed energy, and provides better overall system benefits.

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