Two-stage robust energy management of a hybrid charging station integrated with the photovoltaic system

Akbari-Dibavar, Alireza; Tabar, Vahid Sohrabi; Zadeh, Saeid Ghassem; Nourollahi, Ramin

doi:10.1016/j.ijhydene.2021.01.127

Cited by 45 publications

(10 citation statements)

References 44 publications

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“…Japan and the U.S. are second only. The U.S. market grew by 57% year-on-year in 2007, while the Japanese market began to decline after the government canceled certain policy subsidies, dropping by 22% in 2007 [7]. Spain has a fast growth rate.…”

Section: Literature Reviewmentioning

confidence: 99%

Application of Industrial Big Data Cloud Control Platform Based on Fusion Transmission Sensor

Meng

Shao

2022

Journal of Sensors

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In order to solve the problem that the traditional operation and maintenance system of photovoltaic operation and power station is mainly based on statistical analysis and multisite and multilevel deployment mode, which wastes software and hardware resources, is not easy to expand and has extremely low efficiency, which cannot meet the urgent needs of users to reduce costs and increase efficiency. This research proposes a methodology for integrating big data, cloud computing, and photovoltaic operation and maintenance. This method constructs the business model, data model, application model, and technical model of the photovoltaic power station operation and maintenance cloud platform. The results obtained are as follows: the system provides diagnostic services for the application system of a 30 MWp photovoltaic power station in a certain place, and a total of 87 defects are found, the defect elimination rate is 88.51%, and the monthly power generation of the power station is increased by 122,529 kWh; the use effect of the system in this research after it goes online. The evaluation is 93.04 points, ranging from very satisfactory (A) to satisfactory (B) and biased towards A, indicating that the use effect is good. It is proved that the successful research and promotion of the system in this research will be of great significance to improve the intelligent operation and maintenance level of photovoltaic power plants and improve the operation and maintenance efficiency of photovoltaic power plants.

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Section: Literature Reviewmentioning

confidence: 99%

Application of Industrial Big Data Cloud Control Platform Based on Fusion Transmission Sensor

Meng

Shao

2022

Journal of Sensors

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“…The power of PV and ST units can be calculated using solar irradiation, system efficiency and surface area, as determined by (12) and (13), respectively [30, 31].

\begin{equation}{{\mathrm{P}}}_{{\mathrm{PV}}}\left( {{\mathrm{t,s}}} \right) = {{\mathrm{A}}}_{{\mathrm{PV}}} \times {{{\eta}}}_{{\mathrm{PV}}} \times {\mathrm{I}}\left( {{\mathrm{t,s}}} \right),\end{equation}

\begin{equation}{{\mathrm{P}}}_{{\mathrm{ST}}}\left( {{\mathrm{t,s}}} \right) = {{\mathrm{A}}}_{{\mathrm{ST}}} \times {{{\eta}}}_{{\mathrm{ST}}} \times {\mathrm{I}}\left( {{\mathrm{t,s}}} \right).\end{equation}

…”

Section: Mathematical Formulationmentioning

confidence: 99%

Risk‐constrained two‐stage scheduling of a virtual energy hub integrated with intelligent parking lots in the presence of electrical and thermal energy markets and responsive loads

Norouzi,

Tabar,

Ghassemzadeh

et al. 2023

IET Generation Trans & Dist

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The energy hub applications have been investigated from different perspectives in recent years due to their benefits such as high flexibility and reliability. This paper proposes a two‐stage stochastic programming to enable the participation of a virtual energy hub integrated with parking lots in the electrical and thermal energy markets under the uncertainty of renewable resources, load demands and energy prices. In such modeling, the first stage optimizes the offers of the virtual hub in the day‐ahead markets before realizing uncertain parameters and the second stage minimizes the real‐time imbalanced cost and determines the operation of components considering actual data. In order to evaluate the risk of decisions, the conditional value‐at‐risk metric is utilized and the results are discussed in the risk‐neutral and risk‐averse strategies for a sample day of summer and winter. In the following, a time‐based program is implemented to indicate the influence of responsive loads and a sensitivity analysis is conducted to assess the effectiveness of the flexible units. The simulations approve that although the risk‐averse optimization significantly decreases the profit, the initiative against fluctuations enhances. The outcomes also demonstrate the notable role of flexible units and loads for energy trading in the electrical and thermal markets.

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“…In this regard, a scenario generation/reduction method is applied to model their uncertainties. 36 In the first step, 1000 scenarios are randomly created with a probability distribution function (PDF) and SD between 0% and 20%, as illustrated in Figure 1. Since scenarios with critical conditions such as lower availability of resources are more important for the operator, all scenarios are sorted from the mentioned point of view.…”

Section: Renewable Resources Uncertaintymentioning

confidence: 99%

Stochastic multi‐objective expansion of renewable resources in distribution systems incorporating responsive loads towards achieving zero energy structure

Azari

Tabar

Tohidi

2022

Intl J of Energy Research

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Summary Due to the increase in global warming and environmental pollution, heavy penalties have been imposed on pollution producers such as electrical energy networks. Hence, the role of renewable resources expansion in power systems is unavoidable. However, their high penetration increases the uncertainties and decreases the reliability. This paper investigates the expansion of renewable resources in distribution systems based on the zero energy concept. In this regard, different scenarios are designed to determine the optimal location and sizing of wind turbines and photovoltaics as the most matured technologies. To achieve such a goal, a multiobjective linear programming consisting of investment cost and environmental pollution is suggested, which is solved by the augmented epsilon constraint method. Moreover, an incentive‐based demand response program is implemented using shiftable and curtailable responsive loads. Eventually, the uncertainties of renewable resources are modeled by a scenario generation and reduction approach to simulate realistic conditions. The results show that the system that includes only wind turbines or only photovoltaics cannot completely overcome the pollution problem due to the uncertainties. By contrast, a zero energy structure is achievable by their combination, where the investment cost is increased by 73.17% and 48.13% compared to the separate expansion of photovoltaics and wind turbines, respectively. The participation of responsive loads decreases the investment cost by 49.29% as well. Furthermore, the uncertainties of renewable resources increase the total cost by only about 5.95% in the presence of responsive loads; however, the system will be robust against at least 6% of wind turbines and photovoltaics fluctuations.

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Two-stage robust energy management of a hybrid charging station integrated with the photovoltaic system

Cited by 45 publications

References 44 publications

Application of Industrial Big Data Cloud Control Platform Based on Fusion Transmission Sensor

Application of Industrial Big Data Cloud Control Platform Based on Fusion Transmission Sensor

Risk‐constrained two‐stage scheduling of a virtual energy hub integrated with intelligent parking lots in the presence of electrical and thermal energy markets and responsive loads

Stochastic multi‐objective expansion of renewable resources in distribution systems incorporating responsive loads towards achieving zero energy structure

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