Optimization scheduling model based on source-load-energy storage coordination in power systems

2016 ◽  
Author(s):  
Yaowang Li ◽  
Shihong Miao ◽  
Xing Luo ◽  
Jihong Wang
Keyword(s):  
Energy Storage ◽  
Power Systems ◽  
Model Based ◽  
Scheduling Model ◽  
Optimization Scheduling

scholarly journals Collaborative Optimization of Electric Vehicles Based on MultiAgent Variant Roth–Erev Algorithm

Energies ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 125
Author(s):  
Jianwei Gao ◽  
Yu Yang ◽  
Fangjie Gao ◽  
Haoyu Wu
Keyword(s):  
Utility Function ◽  
Prospect Theory ◽  
Electric Vehicles ◽  
Risk Preferences ◽  
Collaborative Optimization ◽  
Model Based ◽  
Scheduling Model ◽  
Residential Electricity ◽  
Carbon Neutral ◽  
Optimization Scheduling

With the implementation of the carbon neutral policy, the number of electric vehicles (EVs) is increasing. Thus, it is urgently needed to manage the charging and discharging behavior of EVs scientifically. In this paper, EVs are regarded as agents, and a multiagent cooperative optimization scheduling model based on Roth–Erev (RE) algorithm is proposed. The charging and discharging behaviors of EVs will influence each other. The charging and discharging strategy of one EV owner will affect the choice of others. Therefore, the RE algorithm is selected to obtain the optimal charging and discharging strategy of the EV group, with the utility function of the prospect theory proposed to describe EV owners’ different risk preferences. The utility function of the prospect theory has superior effectiveness in describing consumers’ utility. Finally, in the case of residential electricity, the effectiveness of the proposed method is verified. Compared with that of random charging, this method reduces the total EV group cost of EVs by 52.4%, with the load variance reduced by 26.4%.

Cascaded Hydro-Thermal Scheduling for Energy-Saving and Emission Reduction

2012 ◽  
Vol 512-515 ◽  
pp. 1102-1105 ◽  
Author(s):  
Xiao Hua Zhang ◽  
Chang Ping Zhu ◽  
Zheng Hua Ma ◽  
Bin Wang ◽  
Jian Feng Zheng
Keyword(s):  
Energy Storage ◽  
Power Systems ◽  
Energy Saving ◽  
Emission Reduction ◽  
Power Plants ◽  
Thermal Power ◽  
Hydroelectric Power ◽  
Operation Costs ◽  
Scheduling Model ◽  
Cascade Energy

Cascaded hydro-thermal scheduling has many constraints increasing the difficulty of the scheduling. Furthermore, the limited energy storage capability of water reservoirs, along with the stochastic nature of their availability, make its solution a more difficult job. A multi-objective cascaded hydro-thermal scheduling model considering energy saving, emission reduction and cascade energy storage is presented. Every objective function is converted to fuzzy numbers, then it is reformulated into a single objective. Genetic algorithm is used to solve it. The simulation results show that this model increases generation benefits of hydroelectric power plants, reduces operation costs of thermal power plants, advances comprehensive benefits of power systems

scholarly journals Eco-Emission Analysis of Multi-Carrier Microgrid Integrated with Compressed Air and Power-to-Gas Energy Storage Technologies

2021 ◽  
Vol 13 (9) ◽  
pp. 4681
Author(s):  
Khashayar Hamedi ◽  
Shahrbanoo Sadeghi ◽  
Saeed Esfandi ◽  
Mahdi Azimian ◽  
Hessam Golmohamadi
Keyword(s):  
Energy Storage ◽  
Power Systems ◽  
High Efficiency ◽  
Objective Assessment ◽  
Energy Systems ◽  
Vital Role ◽  
Compressed Air ◽  
Emission Analysis ◽  
Multi Objective ◽  
Power To Gas

Growing concerns about global greenhouse gas emissions have led power systems to utilize clean and highly efficient resources. In the meantime, renewable energy plays a vital role in energy prospects worldwide. However, the random nature of these resources has increased the demand for energy storage systems. On the other hand, due to the higher efficiency of multi-energy systems compared to single-energy systems, the development of such systems, which are based on different types of energy carriers, will be more attractive for the utilities. Thus, this paper represents a multi-objective assessment for the operation of a multi-carrier microgrid (MCMG) in the presence of high-efficiency technologies comprising compressed air energy storage (CAES) and power-to-gas (P2G) systems. The objective of the model is to minimize the operation cost and environmental pollution. CAES has a simple-cycle mode operation besides the charging and discharging modes to provide more flexibility in the system. Furthermore, the demand response program is employed in the model to mitigate the peaks. The proposed system participates in both electricity and gas markets to supply the energy requirements. The weighted sum approach and fuzzy-based decision-making are employed to compromise the optimum solutions for conflicting objective functions. The multi-objective model is examined on a sample system, and the results for different cases are discussed. The results show that coupling CAES and P2G systems mitigate the wind power curtailment and minimize the cost and pollution up to 14.2% and 9.6%, respectively.

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