A Jointly Scheduling Optimization Model for Multi-energy System Integrated by Wind Power, Thermal Power and Energy Storage Systems and Carbon Emission Trade

2019 ◽  
Author(s):  
Nan Li ◽  
Nan Li ◽  
Xiangcheng Zhang ◽  
Fei Liu ◽  
Wenbao Hu ◽  
...  
Keyword(s):  
Energy Storage ◽  
Wind Power ◽  
Optimization Model ◽  
Carbon Emission ◽  
Storage Systems ◽  
Thermal Power ◽  
Energy System ◽  
Scheduling Optimization ◽  
Power And Energy ◽  
Carbon Emission Trade

The Synergistic Scheduling Optimization Model for Wind Power and Thermal Power with Energy Storage System Under the Carbon Emission Trade

2015 ◽  
Vol 8 (1) ◽  
pp. 189-196 ◽  
Author(s):  
Liu Hai-Bo ◽  
Xin He ◽  
Wu Hongliang ◽  
Zhou Bao-Rong ◽  
Dong Nan ◽  
...  
Keyword(s):  
Energy Storage ◽  
Wind Power ◽  
Optimization Model ◽  
Storage Systems ◽  
Storage System ◽  
Thermal Power ◽  
Energy Storage System ◽  
Carbon Trading ◽  
Energy Storage Systems ◽  
Scheduling Optimization

In order to alleviate the effect of randomness and intermittent of wind power output on safe and stable operation of the power grid and improve system consumptive wind power capacity, the paper introduce carbon emissions trading and energy storage systems to construct the collaborative scheduling optimization model of wind power and energy storage system based on the energy generation scheduling optimization model of wind power and thermal power. Then, 10 thermal power and 2800MW wind farms constitute simulation systems to analyze the impact of carbon trading and energy storage systems on system wind power consumptive capacity. Numerical example shows: The introduction of carbon trading can increase wind power capacity and reduce coal consumption systems; the introduction of the energy storage system can gentle wind power output, suppress power fluctuations; While, system optimization results achieve the best when carbon trading and energy storage systems are introduced at the same time.

Self-Starting Analysis of New Energy System with Wind Power and Energy Storage

2018 ◽  
Author(s):  
Aihua Wang ◽  
Hong Gang ◽  
Peng Qiu ◽  
Xiaole Luo ◽  
Xinfu Pang ◽  
...  
Keyword(s):  
Energy Storage ◽  
Wind Power ◽  
Energy System ◽  
New Energy ◽  
Power And Energy

scholarly journals Research on Multi-Objective Optimization Model for Hybrid Energy System Considering Combination of Wind Power and Energy Storage

2021 ◽  
Vol 13 (6) ◽  
pp. 3098
Author(s):  
Jing Wu ◽  
Zhongfu Tan ◽  
Keke Wang ◽  
Yi Liang ◽  
Jinghan Zhou
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Wind Power ◽  
Energy System ◽  
Energy Utilization ◽  
Total System ◽  
Renewable Energy Consumption ◽  
Hybrid Energy System ◽  
Hybrid Energy ◽  
Power And Energy

With the development of renewable energy, the grid connection is faced with great pressure, for its generation uncertainty and fluctuation requires larger reserve capacity, and higher operation costs. Energy storage system, as a flexible unit in the energy system, can effectively share the reserve pressure of the system by charging and discharging behaviors. In order to further improve the renewable energy utilization, the combination of wind power and energy storage for hybrid energy system is proposed. On considering the power generation characteristics, the objective functions are maximizing the system revenue and minimizing the system energy loss. Combined with the robust optimization theory, the model is transformed and solved. The results show that the application of the energy storage will effectively promote the renewable energy consumption, and the combination of the wind power and energy storage will achieve more effective utilization of the night-time wind power and cut down the total system cost.

scholarly journals A Joint Scheduling Optimization Model for Wind Power and Energy Storage Systems considering Carbon Emissions Trading and Demand Response

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Yin Aiwei ◽  
Xu Congwei ◽  
Ju Liwei
Keyword(s):  
Energy Storage ◽  
Wind Power ◽  
Demand Response ◽  
Wind Farm ◽  
Storage Systems ◽  
Thermal Power ◽  
Emission Trading ◽  
Energy Storage Systems ◽  
Load Curve ◽  
Scheduling Model

To reduce the influence of wind power random on system operation, energy storage systems (ESSs) and demand response (DR) are introduced to the traditional scheduling model of wind power and thermal power with carbon emission trading (CET). Firstly, a joint optimization scheduling model for wind power, thermal power, and ESSs is constructed. Secondly, DR and CET are integrated into the joint scheduling model. Finally, 10 thermal power units, a wind farm with 2800 MW of installed capacity, and3×80 MW ESSs are taken as the simulation system for verifying the proposed models. The results show backup service for integrating wind power into the grid is provided by ESSs based on their charge-discharge characteristics. However, system profit reduces due to ESSs’ high cost. Demand responses smooth the load curve, increase profit from power generation, and expand the wind power integration space. After introducing CET, the generation cost of thermal power units and the generation of wind power are both increased; however, the positive effect of DR on the system profit is also weakened. The simulation results reach the optimum when both DR and CET are introduced.

scholarly journals Design of a System Coupling Liquid Air Energy Storage System with Thermal Power Unit

2022 ◽  
Vol 2152 (1) ◽  
pp. 012058
Author(s):  
Zhanfeng Zhou
Keyword(s):  
Energy Storage ◽  
Power Unit ◽  
Large Scale ◽  
Waste Heat ◽  
Storage Systems ◽  
Thermal Power ◽  
Energy System ◽  
Energy Resources ◽  
Energy Storage Systems ◽  
New Energy

Abstract In recent decades, the market share of new energy resources is increasing rapidly; the intermittency of new energy resources became an issue to power grids. One prevailing solution is to install large scale energy storage systems. To make energy storage systems participate better in peak shaving without geographical constraints, the paper put forward a new design of a system that couples liquid air energy system with a thermal power unit to utilize waste heat from the condenser of the thermal power unit; the system is also independent from electricity input when producing electricity.

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