Energy management programming to reduce distribution network operating costs in the presence of electric vehicles and renewable energy sources

Yang, Zhichun; Yang, Fan; Min, Huaidong; Tian, Hanqin; Hu, Wei; Liu, Jian; Eghbalian, Nasrin

doi:10.1016/j.energy.2022.125695

Cited by 26 publications

(3 citation statements)

References 35 publications

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“…As far as single-objective optimization is concerned, the charging cost optimization target with a better valley-filling effect of the "Core level" power system is selected for analysis. By studying the relationship between the charging curve and the electricity price scheme, the influence of three different electricity price schemes on the valley-filling effect is obtained [41].…”

Section: Research On Single Objective Optimization Of Three "Carrier ...mentioning

confidence: 99%

Research on Optimization of Valley-Filling Charging for Vehicle Network System Based on Multi-Objective Optimization

Hu,

Zhou,

Jiang

et al. 2023

Sustainability

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Many electric vehicles connected to the grid will lead to problems such as poor stability of power grid generation. The key to solving these problems is to propose an efficient, stable, and economical valley-filling charging scheme for electric vehicles and grid users in the vehicle network system. Firstly, the convex optimization theory is used to make the grid achieve the optimization effect of valley filling. On this basis, the electricity price scheme with a time-varying coefficient as the variable is proposed to meet the single objective optimization of EV charging cost optimization, and its degree of influence on the grid valley-filling effect is analyzed. Secondly, based on the competitive relationship between EV charging cost and battery life, the P2D model is simplified and analyzed, and the attenuation law of battery capacity is quantitatively described. The multi-objective optimization problem is established to express in a Pareto matrix. Finally, the compatibility between the multi-objective optimization and grid valley charging is analyzed. The simulation results show that: (1) The convexity electricity price scheme can satisfy the requirements of various retention rates to achieve the valley-filling effect; (2) The filling effect is satisfied with the electricity price scheme that minimizes the charging cost, and the key factors affecting the filling effect are analyzed; (3) The multi-objective optimization scheme with charging cost and battery life is compatible with the valley-filling effect.

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Section: Research On Single Objective Optimization Of Three "Carrier ...mentioning

confidence: 99%

Research on Optimization of Valley-Filling Charging for Vehicle Network System Based on Multi-Objective Optimization

Hu,

Zhou,

Jiang

et al. 2023

Sustainability

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“…Adding DC-DC converters, a battery storage system, and an E-bike charger, which collectively simulate the functional elements of such a system, further improves this complex model. The model's ability to reflect the changing nature of wind energy generation properly due to the input of actual wind data enables a thorough analysis of how it affects the hybrid system's operation [30]. By maximizing power conversion between wind and solar sources, the DC-DC converters play a crucial role in raising the effectiveness of energy extraction.…”

Section: Simulink Modellingmentioning

confidence: 99%

Hybrid Wind/PV E-Bike Charging Station: Comparison of Onshore and Offshore Systems

Afzal,

Zhao,

Chen

et al. 2023

Sustainability

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The concept behind this research article is advancement towards utilizing renewable energy sources of wind–solar to generate electrical energy for E-bike (electric bike) charging stations. To optimize the design and operation control of the wind–solar E-bike charging station system, the development of modelling this hybrid power generation system, consisting of solar and wind energy combined with battery storage, is proposed and will be studied in this paper. A university campus setting is utilized for the case study by comparing offshore (Huangdao) and onshore (Laoshan) sites. The proposed research will focus on annual energy production (AEP) and system cost analysis. The proposed work’s main objectives are to analyze the wind/solar properties of the installation’s location using the last 20 years’ data, calculate the AEP for wind turbines and solar PV, and estimate how many E-bikes can be charged day/year with reliable operation. We have calculated that the hybrid power available is 27.08 kWh/day offshore and 22 kWh/day onshore. This research study concludes that on average, based on AEP, in the case of offshore, 5110 E-bikes can be charged per year and in the case of onshore, 4015 E-bikes can be charged per year. We have also calculated the COE (cost of energy) for 20 years for the proposed project, which is $0.62/kWh onshore and $0.46/kWh offshore.

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“…The world is striving to achieve net-zero greenhouse gas emissions by 2050 [1]. Renewable energy sources such as photovoltaic (PV) and wind energy, with characteristics that include environmental friendliness, sustainability, low carbon generation, and potential for energy savings [2,3], provide an effective boost to the net-zero emission aims and are showing explosive growth at unprecedented speeds [4]; however, this poses severe challenges for power regulation and control of the power grids [5][6][7][8][9].…”

Section: Introduction 1contextmentioning

confidence: 99%

The Design and Application of Microgrid Supervisory System for Commercial Buildings Considering Dynamic Converter Efficiency

et al. 2023

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This paper presents a supervisory system that considers converter efficiency for local microgrids of commercial buildings to solve the uncertainty problem of the sources and loads while also optimizing local microgrid operating costs and maintaining power supply quality for commercial buildings. The supervisory system includes an energy management layer and a power management layer. In the energy management layer, a long-term optimization approach is used to reduce the operating costs by considering the dynamic converter efficiency. In the power management layer, a real-time power optimization method is structured to deal with the uncertainty problem of the sources and loads, and to ensure that the direct current bus power is balanced while also guaranteeing the power quality by considering the dynamic converter efficiency. Four cases are proposed for the supervisory system, and these cases are simulated in MATLAB/Simulink under three typical weather conditions: cloud, sunshine, and rain. The comparison of simulation results for cases 1 and 2 illustrates the impact of converter efficiency on energy coordination in microgrids. The simulation results of cases 3 and 4 verify that the performance—in terms of the power supply quality and the operating costs—of the proposed microgrid supervisory system considering dynamic converter efficiency outperforms that of the microgrid supervisory system considering fixed converter efficiency.

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Energy management programming to reduce distribution network operating costs in the presence of electric vehicles and renewable energy sources

Cited by 26 publications

References 35 publications

Research on Optimization of Valley-Filling Charging for Vehicle Network System Based on Multi-Objective Optimization

Research on Optimization of Valley-Filling Charging for Vehicle Network System Based on Multi-Objective Optimization

Hybrid Wind/PV E-Bike Charging Station: Comparison of Onshore and Offshore Systems

The Design and Application of Microgrid Supervisory System for Commercial Buildings Considering Dynamic Converter Efficiency

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