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A rolling horizon approach for optimal management of microgrids under stochastic uncertainty
2018
Chemical engineering research & design
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The objective of the proposed formulation is the optimal management of the supply and demand of energy and heat in microgrids under uncertainty, in order to minimise the operational cost. ...
This work presents a Mixed Integer Linear Programming (MILP) approach based on a combination of a rolling horizon and stochastic programming formulation. ...
Acknowledgements The authors would like to thank the financial support received from the UK Engineering and Physical Sciences Research Council (under the project EP/M028240/1). ...
doi:10.1016/j.cherd.2017.09.013
fatcat:c3vy2gcdp5edbgcq4f3gxxplpu
Optimal Operation of Tri-Generation Microgrids Considering Demand Uncertainties
2016
International Journal of Smart Home
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Tri-generation microgrids, also known as combined cooling, heat and power (CCHP) microgrids, have the potential to suffice the collective thermal and electrical demands of the microgrid residents. ...
However, the energy demand of microgrids cannot be accurately predicted. Therefore, in this paper, robust optimization-based modeling for optimal operation of tri-generation microgrids is proposed. ...
Dynamic optimization and model predictive control have been for scheduling in day-ahead and real-time scheduling horizons. ...
doi:10.14257/ijsh.2016.10.10.13
fatcat:w3xdueotijeanoji4x3amw25kq
Model Predictive Control for Microgrid Functionalities: Review and Future Challenges
2021
Energies
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Model Predictive Control (MPC) is a control methodology which has been satisfactorily applied to solve complex control problems in the industry and also currently it is widely researched and adopted in ...
However, the optimization of microgrids considered as a set of subsystems introduces a high degree of complexity in the associated control problem. ...
Piecewise approaches based on a hybrid MPC formulation can be applied to include nonlinearities in the plant predictive model. ...
doi:10.3390/en14051296
fatcat:2fu4d2tojragdawars7t6b4sam
A Novel Demand Response Method for Smart Microgrids Related to the Uncertainties of Renewable Energy Resources and Energy Price
2016
Journal of Electrical Systems
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This paper presents novel methods for Demand Response (DR) programs by considering welfare state of consumers, to deal with the operational uncertainties, such as wind energy and energy price, within the ...
In the end, the simulation results on a typical microgrid show that implementing proposed DR methods contributes to increasing total operational profit of smart microgrid and also decreasing the risk of ...
In the present paper, a novel method for demand response technologies within the infrastructure of a smart microgrid to deal with the uncertainties of the wind power and energy price of UDN, has been proposed ...
doaj:54e01bb56ded44d8bcc4df237fd45c59
fatcat:lvsx64ijebfttmup6m4hznvvkm
Recent Challenges and Methodologies in Smart Grid Demand Side Management: State-of-the-Art Literature Review
2021
Mathematical Problems in Engineering
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Demand side management (DSM) is one of the crucial aspects of smart grid that provides users with the opportunity to optimize their load usage pattern to fill the gap between energy supply and demand and ...
The concept of smart grid was introduced a decade ago. ...
A DSM method based on robust model predictive control (RMPC) is proposed in [58] for residential smart grids consisting of several interconnected homes (with controllable and noncontrollable loads) and ...
doi:10.1155/2021/5821301
fatcat:fybqx2uvvrfrfmsizc3p5bg5jq
Efficient Energy Optimization Day-Ahead Energy Forecasting in Smart Grid Considering Demand Response and Microgrids
2021
Sustainability
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With this motivation, efficient energy management model for a microgrid with ant colony optimization algorithm to systematically schedule load and EVs charging/discharging of is introduced. ...
, making the power grid smart. ...
Conflicts of Interest: The authors declare no conflict of interest.
Nomenclature ...
doi:10.3390/su132011429
fatcat:3t5vnngm4vdsxbaq46ch3kqspa
Distributed Energy Resources Management
2019
Energies
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The impact of distributed energy resources in the operation of power and energy systems is nowadays unquestionable at the distribution level but also at the whole power system management level [...] ...
In [7] , a predictive dispatch model was used for home energy management, and the uncertainty of PV generation is modeled by the InterStoch hybrid method. ...
The integration of centralized and distributed control approaches is discussed and validated through the emulation of power system components for a more realistic simulation of the microgrid and the validation ...
doi:10.3390/en12030550
fatcat:m3lrsruntzf6bnajpdcy4qyfly
Recent Techniques Used in Home Energy Management Systems: A Review
2022
Energies
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For instance, energy consumption of appliances in a home can lead to misleading patterns. ...
In addition, the techniques are divided into four broad categories: traditional techniques, model predictive control, heuristics and metaheuristics, and other techniques. ...
The authors of [46] propose a HEMS for a smart home focusing on the energy balance
Model Predictive Control The model predictive control (MPC) is an advanced method of control based on a receding horizon ...
doi:10.3390/en15082866
fatcat:nrhf6bc6frdttbnerk6lrwlcbe
High Level Controller-Based Energy Management for a Smart Building Integrated Microgrid With Electric Vehicle
2020
Frontiers in Energy Research
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This paper presents an effective approach for the modeling and optimization of a smart building integrated microgrid (BIM). ...
The main objective is the development of a smart building energy management system (BEMS) which is in charge of optimally controlling the operation of a building-integrated-microgrid. ...
., 2016) , the authors formulated a robust energy management system for microgrids with model predictive control by using the fuzzy method for the prediction intervals due to the uncertain nature of the ...
doi:10.3389/fenrg.2020.535535
doaj:6e8c86e7ce7945f5984239d504a02ae1
fatcat:k5yzoiaov5ff3cgt64bgzb2vne
A stochastic MPC based approach to integrated energy management in microgrids
2018
Sustainable cities and society
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In this paper, a stochastic model predictive control (SMPC) approach to integrated energy (load and generation) management is proposed for a microgrid with the penetration of renewable energy sources ( ...
Secondly, a finite horizon stochastic mixed integer quadratic programming model is developed to minimize the microgrid operation cost and to reduce the spinning reserve based on the selected typical scenarios ...
is formulated as a MIQP problem. ...
doi:10.1016/j.scs.2018.05.044
fatcat:3z7gylfubzck7ljzcljni4jnnm
2020 Index IEEE Transactions on Sustainable Energy Vol. 11
2020
IEEE Transactions on Sustainable Energy
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., +, TSTE Oct. 2020 2922-2931
The Impact of Customers' Demand Response Behaviors on Power System
With Renewable Energy Sources. ...
., +, TSTE July 2020 1427-1437 Distributed Economic Model Predictive Control for a Wind-Photovoltaic-Battery Microgrid Power System. ...
doi:10.1109/tste.2020.3029733
fatcat:6eucku5sfrg47gv32e5wqaimm4
A Novel Hierarchical Energy Management System Based on Optimization for Multi-Microgrid
2020
International Journal on Electrical Engineering and Informatics
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This research also aims at developing the role model to determine the behaviors, as a result of a shift in the opening Protocol to the disconnect establishing the power generation island, of distributed ...
This paper also provides a Maximum Power Point Tracking (MPPT) technique used to obtain full power from a hybrid power system during the variation of environmental conditions in both photovoltaic stations ...
To the best of the authors' knowledge, this paper is the first to propose a home energy management control for both frequency and voltage restoration of a grid connected microgrid and islanded microgrid ...
doi:10.15676/ijeei.2020.12.3.10
fatcat:qxam73miqfeknbwjxaslfiwc34
Optimal Dispatching of Microgrid for Fishery Based on Model Predictive Control: A Review
2021
Information Processing in Agriculture
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This paper reviews the optimal dispatch of microgrid for fishery based on model predictive control. ...
Due to the uncertainty of distributed power sources, MPC can be applied to solve the problem of renewable energy output in microgrid for fishery. ...
Model Algorithm Control (MAC) based on the impulse response model is the earliest predictive control algorithm used in industrial process control. ...
doi:10.1016/j.inpa.2021.04.005
fatcat:e43gqcvc6zctdiafc36fuvu4ku
Approaching net zero energy housing through integrated EV
2018
Sustainable cities and society
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Acknowledgements This work has been carried out at the Department of Electrical Engineering and Automation, Aalto University. ...
The work has been financed in part by the Energy-efficient Townhouse project (Aalto Energy Efficiency research program), and ...
Demand response control by greedy variable neighbourhood algorithm The demand response control for the microgrid model, the townhouse in this research, is designed to be simple with little computation ...
doi:10.1016/j.scs.2018.01.042
fatcat:j72hlfndljh2fbzu2ielcegjje
Scheduling Distributed Energy Resource Operation and Daily Power Consumption for a Smart Building to Optimize Economic and Environmental Parameters
2018
Energies
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Both controllable and uncontrollable tasks and DER operations are scheduled according to the real-time price of electricity and a peak demand charge to reduce the peak demand on the grid. ...
We formulate the daily energy consumption scheduling problem in multiple smart homes from economic and environmental perspectives and exploit a mixed integer linear programming technique to solve it. ...
In [9] , the authors used artificial neural networks to predict the heat demand in a house based on several factors, to achieve a better match between demand and supply. ...
doi:10.3390/en11061348
fatcat:2hsa7alzgvbtzep2qg3zb3qgm4
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