Modeling and operation optimization of RE integrated microgrids considering economic, energy, and environmental aspects

Khan, Naveed Ahmed; Sidhu, Guftaar Ahmad Sardar; Awan, Ahmed Bilal; Ali, Zain; Mahmood, Anzar

doi:10.1002/er.4604

Cited by 9 publications

(9 citation statements)

References 28 publications

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“…20 Khan et al formulated a joint optimization mixed integer model for economical operation of solar-integrated microgrids, in which the operational cost, pollutant emissions, and solar share are considered. 21 Hurwitz et al developed a linear optimization formulation for a multi-energy systems management, in which nonlinearities in the efficiencies of energy conversion processes can be captured. 22 Hou et al used a multi-objective mathematical programming model for hybrid energy distributed system considering the annual cost and carbon emissions.…”

Section: Literature Review and Research Gapmentioning

confidence: 99%

An inexact optimization model for distributed multi‐energy systems management in sustainable airports

Jin

2021

Int J Energy Res

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This paper proposes a fuzzy chance-constrained fractional programming (FCFP) method for planning distributed multi-energy systems (DMES). FCFP can deal with uncertainties expressed as fuzzy information, probability distributions, and multiple objectives. The FCFP-DMES model was applied to a real airport in a case study, and a series of scenarios were selected to examine the effects of the uncertainty on the energy supply and technology selection. Additionally, a comparison related to conventional energy system (CES) and DMES are discussed from energy consumption, economic, and environmental aspects. The results revealed the following: the combined cooling, heat, and power would serve as a primary distributed energy resource providing heating, cooling, and electricity in different seasons, accounting for approximately 40% of the total; among different alternative technologies, heating supplied by gas-fired boiler and thermal storage would serve as auxiliary heaters to cover 6.6% and 15.2% of the heating load, respectively, under high-level demand; although the DMES cannot bring cost-cutting, it has better environmental performance and a peak shaving function. Compared with the DMES, the CES would almost double the electricity purchasing cost (reaching $9.56 million), and an additional 136.24 MW of electricity would be needed, which would result in 127.5 tons/year of pollutant emissions. The findings of this study indicate that the FCFP-DMES model can provide a comprehensive and systematic strategy considering the multi-energy, multi-technology, and multi-uncertainty within the DMES.

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Section: Literature Review and Research Gapmentioning

confidence: 99%

An inexact optimization model for distributed multi‐energy systems management in sustainable airports

Jin

2021

Int J Energy Res

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“…From the perspective of technology, 30 economy, 31 environment, 32,33 etc., there are some studies on MG's energy management strategies. Such as, the energy management strategies are put forward for two kinds of MGs including photovoltaic (PV), wind turbines (WT), storage, and various types of consumption equipment, etc.…”

Section: Introductionmentioning

confidence: 99%

A bilevel programming approach for real‐time pricing strategy of smart grid considering multi‐microgrids connection

Yuan

Gao

et al. 2021

Int J Energy Res

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Summary As an important method for demand‐side management, the real‐time pricing can not only adjust the power balance between the supply and demand‐sides, but also effectively promote the internal energy dispatching behavior of the microgrid. In this article, a bilevel programming model is proposed based on the demand response to coordinate the master‐slave hierarchical relationship in the electricity market. At the upper level, the main grid determines the prices and generation for the supplier's maximum profit. At the lower level, we consider multiple microgrids, which operate in isolated‐island or grid‐connected mode, with photovoltaic generation system, energy storage system, and loads. Then, the optimal energy strategy is emerged for the user's maximum welfare according to the dynamic prices. Furthermore, we solve the upper and lower models separately to avoid user privacy being violated. The upper problem uses the genetic algorithm (GA), while the lower problem is handled by the branch and bound algorithm (BBA). A novel distributed algorithm named GA‐BBA is developed accordingly. Finally, taking an example of a smart grid system with three microgrids, the model and algorithm are simulated and compared. The results show that the peak‐to‐average ratio under the real‐time pricing is reduced from 1.6547 (fixed electricity price) and 1.4513 (time‐of‐use) to 1.2545. The peak‐to‐valley difference is also decreased by approximately 14.33%. In addition, the total social welfare of the system is increased by 145.53 kCNY (Chinese Yuan) through comparison with the existing model. The conclusions verify that the proposed bilevel programming model not only effectively reduces peak load but also increases the social welfare, which is more reasonable and realistic. Novelty Statement A novel bilevel optimization energy management system is proposed to optimize the hierarchical market structure between the main grid and multi‐microgrids (MMGs). A RTP mechanism based on demand response is formulated to balance the benefits between the main grid and MMGs. Moreover, the optimal energy strategy is obtained along with the dynamic price. Besides the operating cost, users' utility in microgrids are taken to our model. A hybrid distributed GA‐BBA is developed to protect the user's utility privacy.

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“…Different energy sources are considered, such as renewable energy technology (solar, wind) and diesel generation. Khan et al present in Reference 27 an optimization model which aims to reduce the functional costs of a solar microgrid. The authors implement several methods, such as dual decomposition, Lambda iteration, Lagrange relaxation or binary integer programming in order to obtain a joint optimization solution.…”

Section: Introductionmentioning

confidence: 99%

Environmental impact assessment of green energy systems for power supply of electric vehicle charging station

et al. 2020

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The Electric Vehicle (EV) as a clean alternative to Classic Vehicle that use fossil fuels is promoted as an immediate solution to improve the quality parameters of the environment related to the transport sector. The transition to clean electrified mobility must be considered from the sustainability spectrum, and the planning of a strategy related to the implementation of electric vehicles implies, from the beginning, providing clean energy conditions to go toward a green-to-green paradigm. It should be noted that the successful implementation of the "green electro mobility" concept depends heavily on the green energy supply solutions of green electric vehicle, so Electric Vehicle Charging Stations (EV-CS) should be powered by electricity generation systems based on green resources. This research article has as main objective the environmental impact assessment from the perspective of CO 2 emissions embedded in green stand-alone energy systems and the estimation of the environmental benefits of their implementation in the power supply of EV-CS from the perspective of avoided CO 2 emissions compared to the classic electricity supply grid. The results indicate that the green energy systems represent feasible solutions for the independent energy support of electric vehicle charging stations, being able to supply electricity based on on-site available 100% alternative energy sources. Related to 1 kWh of electricity, the CO 2 emissions embedded in these systems represent on average 11.40% of the CO 2 emissions of the electricity supplied through the grid at European level and on average 7.10% of the CO 2 emissions of the electricity supplied through the grid worldwide. Results also show that the average price of 1kWh of electricity generated by the analyzed systems is 4.3 times higher than the average unit price of the European Union grid energy, but this indicator must be correlated with the kgCO 2 /kWh cost savings compared to the electricity production from classic power plants. K E Y W O R D S clean energy, CO 2 emissions embedded in system, eco-responsibility of electric vehicle charging station, environmental impact of electric vehicle, green electro mobility, green energy, green-togreen paradigm

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Modeling and operation optimization of RE integrated microgrids considering economic, energy, and environmental aspects

Cited by 9 publications

References 28 publications

An inexact optimization model for distributed multi‐energy systems management in sustainable airports

An inexact optimization model for distributed multi‐energy systems management in sustainable airports

A bilevel programming approach for real‐time pricing strategy of smart grid considering multi‐microgrids connection

Environmental impact assessment of green energy systems for power supply of electric vehicle charging station

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