scholarly journals Research on Peak Load Shifting Operation Strategy of Small-Scale Mobile Energy Storage Device in Distribution Network

2021 ◽  
Vol 2087 (1) ◽  
pp. 012007
Author(s):  
JianMing Chen ◽  
Ruijin Dai ◽  
Yilin He ◽  
Tiancheng Chen ◽  
Weimin Chen
Keyword(s):  
Energy Storage ◽  
Power System ◽  
Power Supply ◽  
Distribution Network ◽  
Peak Load ◽  
Storage Device ◽  
Utilization Rate ◽  
Small Scale ◽  
Load Shifting ◽  
Threshold Control

Abstract This paper studied two methods of using energy storage (ES) to achieve peak load shifting by charging and discharging. In different distribution network transformer power supply areas, the time of peak and valley of load is not identical. The small-scale mobile ES device was commanded to deliver energy at the peak of the power supply area to reduce the supply pressure of the power system by central control units (CCU), and while the load is at the valley, the ES charges and absorbs power to enhance the utilization rate of energy in the system. Currently, the control methods of peak load shifting for ES device (Constant Power Control and Threshold Control) were studied, and the operation results in power system were analyzed with their involvement, which provided the substantial supports for CCU to dispatch. Ultimately, the results showed the methods proposed were feasible and effective by simulation.

Power Supply & Storage Capacity of Distribution Network with Multiple Energy Storage Systems and its Application

2013 ◽  
Vol 860-863 ◽  
pp. 568-571
Author(s):  
Wen Peng Yu ◽  
Dong Liu
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Power Supply ◽  
Storage Capacity ◽  
Storage Systems ◽  
Distribution Network ◽  
Peak Load ◽  
Energy Storage Systems ◽  
Peak Period ◽  
Definition Of

With the charging and discharging of grid-tied Energy Storage Systems (ESS), distribution network could shift load from peak period or suppress the fluctuation of renewable energy. Constraints of both grid and ESS are analyzed in the present paper, and definition of power supply & storage capacity of distribution network with ESS is proposed, which quantifies the ability of distribution network to shift load or adopt renewable energy generation. Operating optimization model is proposed for the operation of distribution network considering peak load shifting based on power supply & storage capacity, and the model is tested and verified in case study.

Thermo-Economic Analysis of a Photovoltaic-Fuel Cell Hybrid System With Energy Storage for CHP Production in Household Sector

2016 ◽  
Author(s):  
M. A. Ancona ◽  
M. Bianchi ◽  
A. De Pascale ◽  
F. Melino ◽  
A. Peretto ◽  
...  
Keyword(s):  
Energy Storage ◽  
Fuel Cell ◽  
Power System ◽  
Hybrid System ◽  
Proton Exchange ◽  
Test Facility ◽  
Small Scale ◽  
Optimal Size ◽  
Photovoltaic Array ◽  
Continuous Power

The penetration of renewable sources, particularly wind and solar, into the grid has been increasing in recent years. As a consequence, there have been serious concerns over reliable and safety operation of power systems. One possible solution, to improve grid integrity, is to integrate energy storage devices into power system network: storing energy produced in periods of low demand to later use, ensuring full exploitation of intermittent available sources. Focusing on photovoltaic energy system, energy storage is needed with the purpose of ensuring continuous power flow to minimize or to neglect electrical grid supply. A comprehensive study on a hybrid micro-CHP system based on photovoltaic panels using hydrogen as energy storage technologies has been performed. This study examines the feasibility of replacing electricity provided by the grid with a hybrid system to meet household demand. This paper is a part of an experimental and a theoretical study which is currently under development at University of Bologna where a test facility is under construction for the experimental characterization of a small scale cogenerative power system. This paper presents the theoretical results of a hybrid system performance simulations made of a photovoltaic array an electrolyzer with a H2 tank and a Proton Exchange Membrane fuel cell stack designed to satisfy typical household electrical demand. The performance of this system have been evaluated by the use of a calculation code, in-house developed by the University of Bologna. Results of the carried out parametric investigations identify photovoltaic and fuel cell systems’ optimal size in order to minimize the purchasing of electrical energy from the grid. Future activities will be the tuning of the software with the experimental results, in order to realize a code able to define the correct size of each sub-system, once the load profile of the utility is known or estimated.

Peak load shifting with energy storage and price-based control system

Energy ◽  
2015 ◽  
Vol 92 ◽  
pp. 505-514 ◽  
Author(s):  
Reza Barzin ◽  
John J.J. Chen ◽  
Brent R. Young ◽  
Mohammed M. Farid
Keyword(s):  
Control System ◽  
Energy Storage ◽  
Peak Load ◽  
Load Shifting

scholarly journals Control concepts of a radiant wall working as thermal energy storage for peak load shifting of a heat pump coupled to a PV array

2018 ◽  
Vol 118 ◽  
pp. 489-501 ◽  
Author(s):  
Joaquim Romaní ◽  
Martin Belusko ◽  
Alemu Alemu ◽  
Luisa F. Cabeza ◽  
Alvaro de Gracia ◽  
...  
Keyword(s):  
Energy Storage ◽  
Heat Pump ◽  
Thermal Energy ◽  
Thermal Energy Storage ◽  
Peak Load ◽  
Load Shifting ◽  
Pv Array

scholarly journals Research on Cooperative Optimization Control Strategy of Multitype Energy Sources

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Renliang Liu ◽  
Yong Chen ◽  
Zhe Tan ◽  
Chao Liu ◽  
Kun Yang ◽  
...  
Keyword(s):  
Energy Storage ◽  
Power System ◽  
Heat Pump ◽  
Demand Response ◽  
Storage Device ◽  
Energy Storage Device ◽  
Ground Source Heat Pump ◽  
Storage Model ◽  
Ground Source ◽  
Optimization Control

With the increasing consumption of energy, the efficiency of energy utilization urgently needs to be further improved. At present, the coordinated optimization control of the integrated energy system of multiple types of cooling, heating, and power equipment is an important way to improve the comprehensive energy efficiency of the regional power grid and reduce the operating cost of the power grid. Aiming at this scenario, this paper establishes a fine energy storage model by analyzing the uncertainty of wind power output and considering the influence of low temperature and other conditions on the energy storage device in the energy storage side. On the load side, the influence of comprehensive demand response of electricity and heat on system operation is analyzed, and a combined cold, heat, and electricity supply system including renewable energy and energy storage device is established. Aiming at the optimal total cost of the integrated energy cooling and heating triple power system collaborative optimization control, the crow search algorithm is used to iteratively optimize the configuration model of the triple power system. The four models are considered in the article include groundless heat pump and energy storage, excluding joint demand response, including ground source heat pump and traditional energy storage model, excluding joint demand response, including ground source heat pump and fine energy storage model, excluding joint demand response, including ground source heat pump and fine energy storage model, taking into account the joint demand response. The simulation results show that the cooperative optimization control strategy of the combined cooling, heating, and power system with renewable energy and fine energy storage device model can enhance the system’s schedulable space, improve the comprehensive energy utilization efficiency, and have considerable economic benefits.

scholarly journals Research on Peak Load Shifting Based on Energy Storage and Air Conditioning Load in Power Grid

2020 ◽  
Vol 546 ◽  
pp. 022021
Author(s):  
Pan Xiao ◽  
Wangyi He ◽  
Houyi Xin ◽  
Tian Kun ◽  
Cui Jia ◽  
...  
Keyword(s):  
Energy Storage ◽  
Air Conditioning ◽  
Power Grid ◽  
Peak Load ◽  
Load Shifting
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