scholarly journals Research on Battery Energy Storage as Backup Power in the Operation Optimization of a Regional Integrated Energy System

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 2990 ◽  
Author(s):  
Jianfeng Li ◽  
Dongxiao Niu ◽  
Ming Wu ◽  
Yongli Wang ◽  
Fang Li ◽  
...  

Recently, integrated energy systems have become a new type of energy supply model. It is clear that integrated energy systems can improve energy efficiency and reduce costs. However, the use of a battery energy storage system (BESS) as a backup power source will affect the operating costs of a regional integrated energy system (RIES) in different situations. In this paper, a regional integrated energy system including wind turbines, photovoltaics, gas turbines and battery energy storage was introduced. In order to obtain the minimum operation cost, an operation optimization model was built. The schedule plans of each unit were optimized by a moth flame optimization (MFO) algorithm. Finally, three different scenarios were proposed for the simulation optimization. The simulation optimization results show that when the BESS is used as a backup power source, the operating cost of the system and the resulting pollutant emissions are less than the diesel generator (DG) set. Therefore, it is worthwhile to use BESS instead of DG as the backup power source in RIES.

2021 ◽  
Vol 237 ◽  
pp. 02016
Author(s):  
Jun Wang ◽  
Wei Du ◽  
Dongmei Yang ◽  
Guoxin He ◽  
Xiaochen Zhang

How to consider the impact of load substitution on user-side participating in multi-energy trading on system operation when configuring multi-type energy storage (MES) is an urgent problem that needs to be solved to improve the economics and energy efficiency of the integrated energy systems (IES). This paper presents an optimal configuration method of MES considering multi-energy trading with load substitution based on the characteristics of different energy supply seasons. Firstly, the multi-energy trading framework and MES configuration principle are proposed based on the structure of the IES. Secondly, a MES optimal configuration model for IES considering multi-energy trading with load substitution is established, then the IES trading strategies and MES planning schemes are solved. Finally, the proposed method is verified by an example. The results show that the proposed method reduces the MES configuration cost by 8.9%. It can be seen that the MES configuration method proposed in this paper is helpful to repair the limitations of energy storage configuration research in IES and improve the economic benefits of the system.


Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1103
Author(s):  
Jiajia Li ◽  
Jinfu Liu ◽  
Peigang Yan ◽  
Xingshuo Li ◽  
Guowen Zhou ◽  
...  

An integrated energy system interconnects multiple energies and presents a potential for economics improvement and energy sustainability, which has attracted extensive attention. However, due to the obvious volatility of energy demands, most existing integrated energy systems cannot operate in a totally self-sufficient way but interact with the upper grid frequently. With the increasingly urgent demand for energy saving and emissions reduction, renewable resources have occupied a larger and larger proportion in energy system, and at last they may be dominant in the future. Unlike conventional fossil fuel generation, the renewable resources are less controllable and flexible. To ease the pressure and guarantee the upper grid security, a more independent integrated energy system is required. Driven by that, this paper firstly reviews the optimal strategies considering both independence and benefit from perspectives of individual efforts and union efforts. Firstly, the general optimization process is summarized in terms of energy flows modelling and optimization methods to coordinate supply–demand side and realize benefit maximization. Based on that, handling with uncertainty of high-ratio renewable energy is reviewed from uncertainty modeling methods and multi-stage operation strategy perspectives to make the strategy accurate and reduce the adverse effects on the upper grid. Then, the hybrid timescale characteristics of different energy flows are explored to enhance operation flexibility of integrated energy systems. At last, the coordination among different participants is reviewed to reduce the whole adverse effect as a union. Remarks are conducted in the end of each part and further concluded in the final part. Overall, this study summarizes the research directions in operation optimization of integrated energy systems to cater for a renewable energy dominated scene to inspire the latter research.


2021 ◽  
Vol 2121 (1) ◽  
pp. 012015
Author(s):  
Tieyan Zhang ◽  
Junbao Yang ◽  
Yaru Wang ◽  
Min Li ◽  
Dawei Zhang ◽  
...  

Abstract With the development of science and technology, people also pay more and more attention to the development of new energy. Although there are also many studies on integrated energy systems now, integrated energy systems containing energy storage should also be further studied. This paper proposes an optimization of integrated energy system for combined cooling, heating and power supply of new energy based on energy storage, which analyzes the gas turbine, absorption refrigerating machine, electric refrigerator, photovoltaic power generation units, wind turbine and the work characteristics of the energy storage device. In this paper, an integrated energy system optimization model of new energy cogeneration with energy storage equipment is established. An example shows that the integrated energy system with energy storage can effectively solve the independent decoupling operation relationship among cool, heat and electricity. At the same time, the proposed model can also solve the energy interaction among cool, heat and electricity. In this way, the optimal operation of the integrated energy system can be realized.


Author(s):  
Mohamed Izdin Hlal ◽  
Vigna K. Ramachandaramurthya ◽  
Sanjeevikumar Padmanaban ◽  
Hamid Reza Kaboli ◽  
Aref Pouryekta ◽  
...  

<span lang="MS">This paper presents a Stand-alone Hybrid Renewable Energy System (SHRES) as an alternative to fossil fuel based generators. The Photovoltaic (PV) panels and wind turbines (WT) are designed for the Malaysian low wind speed conditions with battery Energy Storage (BES) to provide electric power to the load. The appropriate sizing of each component was accomplished using Non-dominated Sorting Genetic Algorithm (NSGA-II) and Multi-Objective Particle Swarm Optimization (MOPSO) techniques. The optimized hybrid system was examined in MATLAB using two case studies to find the optimum number of PV panels, wind turbines system and BES that minimizes the Loss of Power Supply Probability (LPSP) and Cost of Energy (COE). The hybrid power system was connected to the AC bus to investigate the system performance in supplying a rural settlement. Real weather data at the location of interest was utilized in this paper. The results obtained from the two scenarios were used to compare the suitability of the NSGA-II and MOPSO methods. The NSGA-II method is shown to be more accurate whereas the MOPSO method is faster in executing the optimization. Hence, both these methods can be used for techno-economic optimization of SHRES. </span>


2021 ◽  
Vol 9 ◽  
Author(s):  
Xin Deng ◽  
Yixin Huang ◽  
Yuge Chen ◽  
Changming Chen ◽  
Li Yang ◽  
...  

The configuration of energy storage in the integrated energy system (IES) can effectively improve the consumption rate of renewable energy and the flexibility of system operation. Due to the high cost and long cycle of the physical energy storage construction, the configuration of energy storage is limited. The dynamic characteristics of the heating network and the demand-side response (DR) can realize the space-time transfer of energy. Although there is no actual energy storage equipment construction, it plays a similar role to physical energy storage and can be considered as virtual energy storage in IES planning. In this paper, a multi-scenario physical energy storage planning model of IES considering the dynamic characteristics of the heating network and DR is proposed. To make full use of the energy storage potential of the proposed model, the virtual energy storage features of the dynamic heating characteristics of the heating network and DR are analyzed at first. Next, aiming at the uncertainty of wind turbine (WT) and photovoltaic (PV) output, the scenario analysis method is used to describe the wind and photovoltaic power output with different probabilities. Finally, an electrothermal IES with an IEEE 33-node network and a 26-node heating network serves as an example to verify the effectiveness of the proposed model. The case study shows that the proposed model effectively reduces the physical energy storage configuration and achieves the economic trade-off between the investment cost and the operation cost.


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