scholarly journals Research on Double-Layer Optimized Configuration of Multi-Energy Storage in Regional Integrated Energy System with Connected Distributed Wind Power

Energies ◽  
2019 ◽  
Vol 12 (20) ◽  
pp. 3964 ◽  
Author(s):  
Quanming Zhang ◽  
Zhichao Ren ◽  
Ruiguang Ma ◽  
Ming Tang ◽  
Zhongxiao He
Keyword(s):  
Energy Storage ◽  
Natural Gas ◽  
Wind Power ◽  
Double Layer ◽  
Energy System ◽  
Mixed Integer ◽  
Storage Technology ◽  
Energy Storage Technology ◽  
Integrated Energy System ◽  
Upper Level

With the wide application of multi-energy storage technology in the regional integrated energy system, the configuration of multi-energy storage devices is expected to enhance the economic benefits of regional integrated energy systems. To start with, in this paper, the basic framework of the regional integrated energy system is constructed, and a mathematical model of micro-gas turbine, gas boiler, distributed wind power and multi-energy storage device is established. Then, the multi-energy storage and double-layer planning configuration model with multi-energy complementation is established. The upper level of the model aims to minimize the comprehensive investment cost of multi-energy storage, while the lower level of the model aims to minimize the comprehensive systematic operating cost, in which the net losses cost is also included and the required multi-energy storage capacity from the upper level is set as its constraint. During the programming and problem solving, the second-order conic relaxation technology is introduced to realize the convex relaxation for power flow constraint. At the same time, the piecewise linearization method is adopted to deal with the natural gas pipeline flow constraint, which can convert the original model into a mixed integer programming problem. In the end, the example analysis is carried out in the IEEE 33-bus system and the improved 6-node natural gas system. The results show that the multi-energy storage technology can improve the economics of the regionally integrated energy system to a certain extent, and have verified the validity of the model.

The Study of Energy Storage Technology Application in Wind Power Integration

2013 ◽  
Vol 391 ◽  
pp. 261-264
Author(s):  
Xiao Ning Xu ◽  
Xue Song Zhou
Keyword(s):  
Energy Storage ◽  
Wind Power ◽  
Large Scale ◽  
Low Voltage ◽  
System Stability ◽  
Technology Application ◽  
Wind Power Integration ◽  
Advantages And Disadvantages ◽  
Storage Technology ◽  
Energy Storage Technology

The classification and application range of energy storage technology are briefly introduced. Challenges for large-scale wind power integration are summarized. With regard to the problems in system stability, low voltage ride-through ability of wind the turbine generator, and power quality, the paper elaborated some solutions based on energy storage technology, and analyzed their advantages and disadvantages. With the character of energy storage technology combined, the paper put forward some advice of energy storage technology applying in wind power integration.

scholarly journals Low-Carbon Economic Bi-Level Optimal Dispatching of an Integrated Power and Natural Gas Energy System Considering Carbon Trading

2021 ◽  
Vol 11 (15) ◽  
pp. 6968
Author(s):  
Hong Li ◽  
Yazhong Ye ◽  
Lanxin Lin
Keyword(s):  
Natural Gas ◽  
Power System ◽  
Wind Power ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Energy System ◽  
Mixed Integer ◽  
Carbon Trading ◽  
Carbon Emission Reduction ◽  
Gas System

The integrated power and natural gas energy system (IPGES) is of great significance to promote the coordination and complementarity of multi-energy flow, and it is an important carrier to increase the proportion of wind power accommodation and achieve the goal of carbon emission reduction. In this paper, firstly, the reward and punishment ladder-type carbon trading model is constructed, and the impact of the carbon trading mechanisms on the carbon emission sources in the power system is comparatively analyzed. Secondly, in order to achieve a reasonable allocation of carbon resources in IPGES, a bi-level optimization model is established while taking into account the economics of dispatching and the requirements of carbon emission reduction. Among them, the outer layer is the optimal carbon price solution model considering carbon trading; in the inner layer, considering the power system constraints, natural gas system constraints, and coupling element operation constraints, a stochastic optimal dispatching model of IPGES based on scenario analysis is established. Scenario generation and reduction methods are used to deal with the uncertainty of wind power, and the inner model is processed as a mixed integer linear programming problem. In the MATLAB environment, program the dichotomy and call the Gurobi optimization solver to complete the interactive solution of the inner and outer models. Finally, case studies that use an integrated IEEE 39-bus power system and Belgian 20-node gas system demonstrate the effectiveness and scalability of the proposed model and optimization method.

scholarly journals Robust Scheduling Optimization Model for Multi-Energy Interdependent System Based on Energy Storage Technology and Ground-Source Heat Pump

Processes ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 27 ◽  
Author(s):  
Zhongfu Tan ◽  
Hongwu Guo ◽  
Hongyu Lin ◽  
Qingkun Tan ◽  
Shenbo Yang ◽  
...  
Keyword(s):  
Energy Storage ◽  
Wind Power ◽  
Heat Pump ◽  
Ground Source Heat Pump ◽  
Operating Characteristics ◽  
Long Distance ◽  
Ground Source Heat Pumps ◽  
Storage Technology ◽  
Energy Storage Technology ◽  
Ground Source

The energy consumed by buildings makes up a significant part of total social energy consumption. The energy use rate of the traditional cooling and heating unit is low. A distributed cooling, heating, and power (CHP) system can achieve cascade use of energy and reduce the long-distance transportation of energy. Along with the wide use of ground-source heat pumps and energy storage technology, the combined cooling, heating, and power (CCHP) system coupled with a ground-source heat pump and energy storage technology is increasingly being used. Firstly, we proposed the construction of a CCHP system driven by distributed energy resources (DERs) including three subsystems of an electricity subsystem, a CCHP subsystem and an auxiliary heating subsystem as the object of study in this paper. Besides, with the goals of reducing carbon emissions, increasing energy efficiency, and minimizing system cost, a constraint mechanism based on the DOM-PSO (dynamic object method/particle swarm optimization) algorithm was applied. Finally, taking Tianjin Eco-City as an example, we used the PSO algorithm to analyze the operating characteristics of the cold and power cogeneration system under the uncertainty of the wind power output. The simulation results show that the joint optimization mode operation strategy can balance the results of different optimization modes by increasing the robust coefficient of wind power. Of all scenarios examined, the CCHP system coupled with the ground-source heat pump and energy storage technology performed best.

scholarly journals Optimized Operation of Integrated Energy Microgrid with Energy Storage Based on Short-Term Load Forecasting

Electronics ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 22
Author(s):  
Hanlin Dong ◽  
Zhijian Fang ◽  
Al-wesabi Ibrahim ◽  
Jie Cai
Keyword(s):  
Energy Storage ◽  
Optimization Technique ◽  
Load Forecasting ◽  
Energy System ◽  
Mixed Integer ◽  
Programming Approach ◽  
Short Term ◽  
Short Term Load Forecasting ◽  
Integrated Energy System ◽  
Optimal Coordination

This research proposes an optimization technique for an integrated energy system that includes an accurate prediction model and various energy storage forms to increase load forecast accuracy and coordinated control of various energies in the current integrated energy system. An artificial neural network is utilized to create an accurate short-term load forecasting model to effectively predict user demand. The 0–1 mixed integer linear programming approach is used to analyze the optimal control strategy for multiple energy systems with storage, cold energy, heat energy, and electricity to solve the problem of optimal coordination. Simultaneously, a precise load forecasting method and an optimal scheduling strategy for multienergy systems are proposed. The equipment scheduling plan of the integrated energy system of gas, heat, cold, and electricity is proposed after researching the operation characteristics and energy use process of the equipment in the combined power supply system. A system economic operation model is created with profit maximization in mind, while also taking into account energy coordination between energy and the power grid. The rationality of the algorithm and model is verified by analyzing the real data of a distributed energy station in Wuhan for two years.

scholarly journals Optimal Dispatch Strategy for a Flexible Integrated Energy Storage System for Wind Power Accommodation

Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1073 ◽  
Author(s):  
Yunhai Zhou ◽  
Pinchao Zhao ◽  
Fei Xu ◽  
Dai Cui ◽  
Weichun Ge ◽  
...  
Keyword(s):  
Energy Storage ◽  
Wind Power ◽  
Working Conditions ◽  
Heat Storage ◽  
Simulation Analysis ◽  
Storage System ◽  
Northern China ◽  
Energy System ◽  
Power Supplies ◽  
Mixed Integer

The application of the large-capacity energy storage and heat storage devices in an integrated energy system with a high proportion of wind power penetration can improve the flexibility and wind power accommodation capacity of the system. However, the efficiency and cost of the flexible resource should also be taken into consideration when improving the new energy accommodation capacity. Based on these considerations, the authors try to construct a joint optimal scheduling model for day-ahead energy storage and heat storage that considers flexibility. The power supplies and devices will be modeled separately, which enables a universal applicability. The objective function is the minimum cost and wind curtailment. Various practical constraints are taken into account. The mixed integer programming and software GLPK is used to program and solve. The actual operation data of a provincial power grid in northern China is used to conduct simulation analysis in four different working conditions. The results show that the model can maintain economical efficiency under different working conditions. In addition, it can adjust and dispatch various power supplies and devices efficiently, significantly improving wind power accommodation of the system.

scholarly journals Buoyancy Energy Storage Technology: An energy storage solution for islands, coastal regions, offshore wind power and hydrogen compression

2021 ◽  
Vol 40 ◽  
pp. 102746
Author(s):  
Julian David Hunt ◽  
Behnam Zakeri ◽  
Alexandre Giulietti de Barros ◽  
Walter Leal Filho ◽  
Augusto Delavald Marques ◽  
...  
Keyword(s):  
Energy Storage ◽  
Wind Power ◽  
Offshore Wind ◽  
Coastal Regions ◽  
Offshore Wind Power ◽  
Storage Technology ◽  
Energy Storage Technology ◽  
Hydrogen Compression ◽  
Storage Solution
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