Electric Thermal Storage System Impact on Northern Communities’ Microgrids

Sauter, Patrick S.; Solanki, Bharatkumar V.; Cañizares, Claudio A.; Bhattacharya, Kankar; Hohmann, Sören

doi:10.1109/tsg.2017.2754239

Cited by 40 publications

(24 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, in [35], it was used to generate data for the development of neural network models of existing urban residential smart loads to represent these loads in a Distribution system Optimal Power Flow (DOPF) for feeder optimal control. In [36], the simulator was used to create thermal energy profiles of remote residential loads to study the application and impact of thermal energy storage on remote hybrid microgrid operation and control. These two SRL applications are discussed next in more detail.…”

Section: Srls Applicationsmentioning

confidence: 99%

Smart Residential Load Simulator for Energy Management in Smart Grids

González-López

Pouresmaeil

Cañizares

et al. 2019

IEEE Trans. Ind. Electron.

Self Cite

View full text Add to dashboard Cite

This paper describes the development of a freeware Smart Residential Load Simulator to facilitate the study of residential energy management systems (EMSs) in smart grids. The proposed tool is based on Matlab-Simulink-GUIDE toolboxes and provides a complete set of user-friendly graphical interfaces to properly model and study smart thermostats, air conditioners, furnaces, water heaters, stoves, dish washers, cloth washers, dryers, lights, pool pumps, and refrigerators, whose models are validated with actual measurements. Wind and solar power generation as well as battery sources are also modeled, and the impact of different variables such as ambient temperature and household activity levels, which considerably contribute to energy consumption, are considered. The proposed simulator allows to model the way appliances consume power and helps to understand how these contribute to peak demand, providing individual and total energy consumption and costs. In addition, the value and impact of generated power by residential sources can be determined for a 24-hour horizon. This freeware platform is a useful tool for researchers and educators to validate and demonstrate models for energy management and optimization, and can also be used by residential customers to model and understand energy consumption profiles in households. Some simulation results are presented to demonstrate the performance and application of the proposed simulator.

show abstract

Section: Srls Applicationsmentioning

confidence: 99%

Smart Residential Load Simulator for Energy Management in Smart Grids

González-López

Pouresmaeil

Cañizares

et al. 2019

IEEE Trans. Ind. Electron.

Self Cite

View full text Add to dashboard Cite

show abstract

“…scholars have re ned the loss model in the process of heat energy transmission, and the thermal energy storage (TES) device is proposed in [60], which proves that TES device can provide exibility for the electro-thermal coupling system. Sauter et al [61] analyzes the impact of electro-thermal storage (ETS) system on the operation of community microgrid in northern China, and proved that ETS can signi cantly reduce the operating cost of the system and better absorb wind and solar energy. Pan et al [62] develops an integrated quasidynamic model of integrated electricity and heating systems, a simulation method is proposed and quasi-dynamic interactions between electricity systems and heating systems are quanti ed with the highlights of transport delay, results show that both the transport delay and control strategies have signi cant in uences on the quasi-dynamic interactions.…”

Section: Complexitymentioning

confidence: 99%

A Survey on Optimal Control and Operation of Integrated Energy Systems

Wei

Zhang

et al. 2019

Complexity

View full text Add to dashboard Cite

At present, the transformation of energy structure is at a critical stage, and emerging renewable energy technologies and multienergy equipment have been widely used. How to improve the energy efficiency of integrated energy system (IES) and promote large-scale absorption of renewable energy is of great significance to the application forms of energy in the future. The development of new internet technology and sensor technology provides strong technical support for the optimal operation and coordinated control of IES. In recent years, the IES is experiencing unprecedented changes, which has attracted great attention from academia and industry. In this paper, the optimal control and operation behavior of IES are reviewed. Firstly, the research status of IES in recent years is summarized. Then, the modeling methods of different equipment in IES are analyzed in detail. The optimal operation of user, regional, and cross-regional IES are taken as typical research objects and the research status of optimization problems and operation modes, energy management planning, and power market allocation are summarized and analyzed. Finally, the key scientific issues and related frontier technologies in the IES are concluded, and the future research directions are prospected.

show abstract

“…Table I attempts to classify some of the applicable grid-integrated linear and nonlinear ESS models used in power system optimization. [25], [42], [43] CAES [38], [43] FES [45] BESS [21], [23], [24], [30], [31], [32], [33], [34], [37], [39] SMES Generic { [12], [20], [26], [27], [28], [29], [41]} SC Generic { [12], [20], [26], [27], [28], [29], [41]} TESS [22], [45] HES [40] Table II is intended to provide the reader with suitable models incorporating other technological aspects and characteristics not covered in this paper for all the different ESS technologies listed in section II.…”

Section: ) Distribution Network and Microgridsmentioning

confidence: 99%

Mathematical Models for Optimization of Grid-Integrated Energy Storage Systems: A Review

Eyisi

Al-Sumaiti

Turitsyn

et al. 2019

2019 North American Power Symposium (NAPS)

View full text Add to dashboard Cite

Energy storage has been proven to yield positive effects on planning, operation and control of electric grids. It has become a crucial task to properly model the energy storage systems (ESS) under the framework of grid optimization on transmission and distribution networks including microgrids. This paper presents a review on mathematical models and test cases of ESSs used for grid optimization studies, where the network constraints of power systems are included. The existing ESS models are mainly classified into two categorieslinear and nonlinear models. The two main categories are further divided into several subcategories respectively; such as mixed-integer linear and convex nonlinear sub-categories. Based on the review and discussions, this paper aims at providing suggestions for choosing proper ESS models for specific grid optimization studies considering the chosen power network model.

show abstract

Electric Thermal Storage System Impact on Northern Communities’ Microgrids

Cited by 40 publications

References 22 publications

Smart Residential Load Simulator for Energy Management in Smart Grids

Smart Residential Load Simulator for Energy Management in Smart Grids

A Survey on Optimal Control and Operation of Integrated Energy Systems

Mathematical Models for Optimization of Grid-Integrated Energy Storage Systems: A Review

Contact Info

Product

Resources

About