scholarly journals Optimal Scheduling of Hybrid Energy Resources for a Smart Home

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 3201 ◽  
Author(s):  
Muhammad Rafique ◽  
Zunaib Haider ◽  
Khawaja Mehmood ◽  
Muhammad Saeed Uz Zaman ◽  
Muhammad Irfan ◽  
...  
Keyword(s):  
Smart Home ◽  
Storage System ◽  
Energy System ◽  
Energy Storage System ◽  
Optimal Scheduling ◽  
Energy Resources ◽  
Hybrid Energy ◽  
Real Coded Genetic Algorithm ◽  
Electrical Vehicle ◽  
Battery Energy

The present environmental and economic conditions call for the increased use of hybrid energy resources and, concurrently, recent developments in combined heat and power (CHP) systems enable their use at a domestic level. In this work, the optimal scheduling of electric and gas energy resources is achieved for a smart home (SH) which is equipped with a fuel cell-based micro-CHP system. The SH energy system has thermal and electrical loops that contain an auxiliary boiler, a battery energy storage system, and an electrical vehicle besides other typical loads. The optimal operational cost of the SH is achieved using the real coded genetic algorithm (RCGA) under various scenarios of utility tariff and availability of hybrid energy resources. The results compare different scenarios and point-out the conditions for economic operation of micro-CHP and hybrid energy systems for an SH.

scholarly journals Modelling and Simulation of a Hybrid Renewable/Battery System Powering a Cathodic Protection Unit

2021 ◽  
pp. 203-208
Author(s):  
Cyncol A. Sibiya ◽  
◽  
Bubele P. Numbi ◽  
Kanzumba Kusakana
Keyword(s):  
Hybrid System ◽  
Cathodic Protection ◽  
Storage System ◽  
Synchronous Generator ◽  
Weather Conditions ◽  
Energy System ◽  
Energy Storage System ◽  
Solar Pv ◽  
Hybrid Energy ◽  
Battery Energy

In this paper, the performance of the proposed off-grid wind-solar PV hybrid system powering the cathodic protection unit is simulated and analyzed using MATLAB/SIMULINK. Furthermore, the performance simulation for the battery energy storage system with PV-wind hybrid energy system under variable solar irradiance and wind speed respectively is also conducted. The hybrid system consists of a wind turbine which uses a permanent magnet synchronous generator driven directly from the turbine, a PV array and a battery bank. The simulated results reflect that the designed hybrid system of such capacity can adequately supply a cathodic protection unit with no power shortage at different weather conditions.

scholarly journals A New Method to Optimize Semiactive Hybrid Energy Storage System for Hybrid Electrical Vehicle by Using PE Function

2015 ◽  
Vol 2015 ◽  
pp. 1-14 ◽  
Author(s):  
Cong Zhang ◽  
Haitao Min ◽  
Yuanbin Yu ◽  
Qingnian Wang ◽  
Huanli Sun
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Super Capacitor ◽  
Power Sources ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Hybrid Energy Storage System ◽  
Electrical Vehicle ◽  
Mass Volume

Although both battery and super-capacitor are important power sources for hybrid electric vehicles, there is no accurate configuration theory to match the above two kinds of power sources which have significantly different characteristics on energy and power storage for the goal of making good use of their individual features without size wasting. In this paper, a new performance is presented that is used for analysis and optimal design method of battery and super-capacitor for hybrid energy storage system of a parallel hybrid electrical vehicle. In order to achieve optimal design with less consumption, the power-energy function is applied to establish direct mathematical relationship between demand power and the performance. During matching process, firstly, three typical operating conditions are chosen as the basis of design; secondly, the energy and power capacity evaluation methods for the parameters of battery and super-capacitor in hybrid energy storage system are proposed; thirdly, the mass, volume, and cost of the system are optimized simultaneously by using power-energy function. As a result, there are significant advantages on mass, volume, and cost for the hybrid energy storage system with the matching method. Simulation results fit well with the results of analysis, which confirms that the optimized design can meet the demand of hybrid electric vehicle well.

scholarly journals Day-Ahead Optimal Battery Operation in Islanded Hybrid Energy Systems and Its Impact on Greenhouse Gas Emissions

2019 ◽  
Vol 9 (23) ◽  
pp. 5221 ◽  
Author(s):  
Lujano-Rojas ◽  
Yusta ◽  
Artal-Sevil ◽  
Domínguez-Navarro
Keyword(s):  
Greenhouse Gas ◽  
Storage System ◽  
Ghg Emissions ◽  
Energy System ◽  
Energy Storage System ◽  
Operating Conditions ◽  
Binary Particle Swarm Optimization ◽  
Peak Shaving ◽  
Hybrid Energy ◽  
Heuristic Techniques

This paper proposes a management strategy for the daily operation of an isolated hybrid energy system (HES) using heuristic techniques. Incorporation of heuristic techniques to the optimal scheduling in day-head basis allows us to consider the complex characteristics of a specific battery energy storage system (BESS) and the associated electronic converter efficiency. The proposed approach can determine the discharging time to perform the load peak-shaving in an appropriate manner. A recently proposed version of binary particle swarm optimization (BPSO), which incorporates a time-varying mirrored S-shaped (TVMS) transfer function, is proposed for day-ahead scheduling determination. Day-ahead operation and greenhouse gas (GHG) emissions are studied through different operating conditions. The complexity of the optimization problem depends on the available wind resource and its relationship with load profile. In this regard, TVMS-BPSO has important capabilities for global exploration and local exploitation, which makes it a powerful technique able to provide a high-quality solution comparable to that obtained from a genetic algorithm.

Control Method of Parallel Vanadium Batteries Operating in Energy Stored Wind Farm System

2012 ◽  
Vol 512-515 ◽  
pp. 1027-1031 ◽  
Author(s):  
Xu Dong Guo ◽  
Bao Ming Ge ◽  
Da Qiang Bi ◽  
Xin Yu Yang
Keyword(s):  
Wind Farm ◽  
Control Method ◽  
Power Grid ◽  
Storage System ◽  
Wind Farms ◽  
Energy System ◽  
Energy Storage System ◽  
Current Control ◽  
Farm Model ◽  
Battery Energy

Wind farms with vanadium battery energy storage system are recognized and welcomed. Against the phenomenon of current distribution unreasonable while vanadium batteries are directly paralleled, a control strategy of vanadium battery parallel based on the state of charge (SOC) is proposed. The current control formula is given in this paper. Vanadium batteries are paralleled to adjust the power grid at the exit of wind farms by the bidirectional DC/DC converter. A wind farm model with vanadium battery energy system is simulated on MATLAB/Simulink. The simulation results show that this system can adjust the power grid of wind farms and achieve the goal that the charging and discharging of vanadium batteries are determined by their SOC, avoiding the overcharge or over-discharge.

scholarly journals Implementation of Optimal Scheduling Algorithm for Multi-Functional Battery Energy Storage System

Energies ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1339 ◽  
Author(s):  
Hee-Jun Cha ◽  
Sung-Eun Lee ◽  
Dongjun Won
Keyword(s):  
Energy Storage ◽  
Electricity Market ◽  
Distribution System ◽  
Wind Farm ◽  
Storage System ◽  
Energy Storage System ◽  
Optimal Scheduling ◽  
Battery Energy Storage System ◽  
Battery Energy Storage ◽  
Battery Energy

Energy storage system (ESS) can play a positive role in the power system due to its ability to store, charge and discharge energy. Additionally, it can be installed in various capacities, so it can be used in the transmission and distribution system and even at home. In this paper, the proposed algorithm for economic optimal scheduling of ESS linked to transmission systems in the Korean electricity market is proposed and incorporated into the BESS (battery energy storage system) demonstration test center. The proposed algorithm considers the energy arbitrage operation through SMP (system marginal price) and operation considering the REC (renewable energy certification) weight of the connected wind farm and frequency regulation service. In addition, the proposed algorithm was developed so that the SOC (state-of-charge) of the ESS could be separated into two virtual SOCs to participate in different markets and generate revenue. The proposed algorithm was simulated and verified through Matlab and loaded into the demonstration system using the Matlab “Runtime” function.

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