scholarly journals Probabilistic Modeling and Equilibrium Optimizer Solving for Energy Management of Renewable Micro-Grids Incorporating Storage Devices

Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1373
Author(s):  
Salah K. ElSayed ◽  
Sattam Al Otaibi ◽  
Yasser Ahmed ◽  
Essam Hendawi ◽  
Nagy I. Elkalashy ◽  
...  

Recently, micro-grids (MGs) have had a great impact on power system issues due to their clear environmental and economic advantages. This paper proposes an equilibrium optimizer (EO) technique for solving the energy management problem of MGs incorporating energy storage devices concerning the emissions from renewable energy sources (RES) of MGs. Because of the imprecision and uncertainties related to the RESs, market prices, and forecast load demand, the optimization problem is described in a probabilistic manner using a 2m + 1 point estimation approach. Then, the EO approach is utilized for solving the probabilistic energy management (EM) problem. The EM problem is described according to the market policy on the basis of minimizing the total operating cost and emission from RESs through optimal settings of the power generated from distributed generators (DGs) and grids connected under the condition of satisfying the operational constraints of the system. The proposed EO is evaluated based on a grid-connected MG that includes energy storage devices. Moreover, to prove the effectiveness of the EO, it is compared with other recently meta-heuristic techniques. The simulation results show acceptable robustness of the EO for solving the EM problem as compared to other techniques.

Author(s):  
Mykhailo Syvenko ◽  
Oleksandr Miroshnyk

A detailed substantiation of the use of electric energy storage devices in the presence of generators on renewable energy sources in the power supply system is given. The dependence of the storage parameters on the composition and priority of generation in the system is investigated. The solution of the problem of determining the parameters of electricity storage devices by means of purposeful simulation of generation parameters is considered. The results of the choice of power and capacity of the energy storage using technical and economic indicators are shown. Optimal parameters of electric energy storage devices as one of the most important means of ensuring the activity of isolated power supply systems together with selection of generating devices are determined. The results of calculations of capacity of renewable energy sources in isolated power supply systems in combination with classical energy sources are given. The necessity of using the principle of activity of the distribution electric network and the possibility of its realization is demonstrated. The optimal storage capacity as a function of the share of renewable generation, the non-integrated energy produced by renewable sources and the total storage capacity are plotted for several isolated systems. The main points of the used model of the power supply system of isolated networks are given. In the studied isolated power supply systems, wind power plants and solar power plants, which have significant unpredictability of generation, are used as generation based on renewable energy sources. The problem of undersupply of electricity to the grid by stepwise increase of generation is analysed. The results of the multi-step selection of power and energy consumption of electricity storage are determined by technical criteria.


2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Jingwei Zhu ◽  
Michael Z. Q. Chen ◽  
Baozhu Du

Improvement of the overall efficiency of energy infrastructure is one of the main anticipated benefits of the deployment of smart grid technology. Advancement in energy storage technology and two-way communication in the electric network are indispensable components to achieve such a vision, while efficient pricing schemes and appropriate storage management are also essential. In this paper, we propose a universal pricing scheme which permits one to indirectly control the energy storage devices in the grid to achieve a more desirable aggregate demand profile that meets a particular target of the grid operator such as energy generation cost minimization and carbon emission reduction. Such a pricing scheme can potentially be applied to control the behavior of energy storage devices installed for integration of intermittent renewable energy sources that have permission to grid connection and will have broader applications as an increasing number of novel and low-cost energy storage technologies emerge.


Author(s):  
Ardavan Dargahi ◽  
Stéphane Ploix ◽  
Alireza Soroudi ◽  
Frédéric Wurtz

Purpose – The use of energy storage devices helps the consumers to utilize the benefits and flexibilities brought by smart networks. One of the major energy storage solutions is using electric vehicle batteries. The purpose of this paper is to develop an optimal energy management strategy for a consumer connected to the power grid equipped with Vehicle-to-Home (V2H) power supply and renewable power generation unit (PV). Design/methodology/approach – The problem of energy flow management is formulated and solved as an optimization problem using a linear programming model. The total energy cost of the consumer is optimized. The optimal values of decision variables are found using CPLEX solver. Findings – The simulation results demonstrated that if the optimal decisions are made regarding the V2H operation and managing the produced power by solar panels then the total energy payments are significantly reduced. Originality/value – The gap that the proposed model is trying to fill is the holistic determination of an optimal energy procurement portfolio by using various embedded resources in an optimal way. The contributions of this paper are in threefold as: first, the introduction of mobile storage devices with a periodical availability depending on driving schedules; second, offering a new business model for managing the generation of PV modules by considering the possibility of grid injection or self-consumption; third, considering Real Time Pricing in the suggested formulation.


Energies ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. 340 ◽  
Author(s):  
Haochen Hua ◽  
Yuchao Qin ◽  
Jianye Geng ◽  
Chuantong Hao ◽  
Junwei Cao

In this paper, a class of mixed H2/H∞ controller is designed for an energy router (ER) within the scenario of an energy Internet (EI). The considered ER is assumed to have access with photovoltaic panels, wind turbine generators, micro-turbines, fuel cells, diesel engine generators, battery energy storage devices, flywheel energy storage devices, loads, and other ERs. Two types of control targets are considered. First, due to the access of large-scale renewable energy sources, the DC bus voltage deviation within the ER system shall be regulated. Second, an optimal energy management strategy shall be achieved, such that the autonomous power supply-demand balance within each ER is achieved with priority and the rational utilization of controllable power generation devices and energy storage devices are realized. When these objectives are considered simultaneously, the control issues with respect to ER is formulated as a mixed robust H2/H∞ control problem with analytical solutions provided. Several numerical examples are given, and the feasibility and effectiveness of the proposed method are demonstrated.


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