Enhancement of flexibility in multi-energy microgrids considering voltage and congestion improvement: Robust thermal comfort against reserve calls

Kazemi‐Razi, S. Mahdi; Abyaneh, Hossein Askarian; Nafisi, Hamed; Ali, Zunaib; Marzband, Mousa

doi:10.1016/j.scs.2021.103160

Cited by 48 publications

(14 citation statements)

References 47 publications

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“…However, they tend to experience a number of issues. One major problem is the uncertainty of power generation due to the variable nature of climatic conditions 43‐46 . As a result, this tends to reduce system reliability and efficiency.…”

Section: Mathematical Modellingmentioning

confidence: 99%

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Optimal sizing of hybrid renewable energy systems by considering power sharing and electric vehicles

Sadeghi

Amiri

Marzband

et al. 2022

Intl J of Energy Research

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Summary Currently, the ideal sizing of hybrid technologies is one of the vital aspects of power system design. In this article, the design and optimization of the sizing of hybrid renewable energy systems (HRESs) with power‐sharing capabilities in conjunction with electric vehicles (EVs) were proposed in two case studies. Two algorithms, namely, multi‐objective particle swarm optimization (MOPSO) and multi‐objective crow search (MOCS), have been formulated and were used to solve the problem being investigated. In case study 1 (CS1), four different HRESs are designed in the presence of EVs, meaning that for each HRES an EV and the power‐sharing capability is employed. And also, the stochastic behavior of the EV using Monte Carlo simulation (MCS) is modeled. In case study 2 (CS2), four HRESs are designed with power‐sharing capabilities, but in this case, for any of the HRESs, EV is not considered. This idea can be considered a novel breakthrough for the potential of power‐sharing has been incorporated with the integration of EVs and HRESs. This approach improves the life cycle cost and loss of power supply probability indices. In summary, both cases in the presence and absence of EVs were compared with the simulation results. The results show that the use of the proposed EV significantly reduces the total cost of the engineered system. Furthermore, two meta‐heuristic techniques were compared, and it was concluded that MOPSO had performed better than MOCS. Highlights Optimal sizing and power sharing of hybrid renewable systems with EVs. Proposed novel heuristic optimization approach using MOPSO and MOCS. Optimization of uncertainty parameters using 100 different scenarios using MCS. Economic and reliability benefits of the proposed system.

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Section: Mathematical Modellingmentioning

confidence: 99%

“…One major problem is the uncertainty of power generation due to the variable nature of climatic conditions. [43][44][45][46] As a result, this tends to reduce system reliability and efficiency. Therefore, cost and reliability are important factors to be considered for designing effective renewable hybrid systems.…”

Section: The Model Of Cost and Reliabilitymentioning

confidence: 99%

Optimal sizing of hybrid renewable energy systems by considering power sharing and electric vehicles

Sadeghi

Amiri

Marzband

et al. 2022

Intl J of Energy Research

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“…Reference [24] proposes an IES optimal dispatch considering the demand side response of electricity, heat, and gas, which minimizes the operating cost by demand-side flexibility. In [25], a multi-microgrid power management model is proposed. The proposed model enhances the system flexibility under the premise of considering the user thermal comfort and the network electrical parameter constraints.…”

Section: Literature Reviewmentioning

confidence: 99%

Flexible dispatching method for park‐level integrated energy systems considering energy cascade utilization

Chen

Tai

et al. 2022

IET Generation Trans & Dist

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The complex energy conversion and the volatility of renewable energy/load bring great challenges to the operation of the park‐level integrated energy system (PIES). To overcome this challenge, this paper proposes a multi‐timescale flexible dispatching method to fully exploit the flexibility of PIES in the energy cascade utilization mode. The cascade utilization model for energy flow is firstly established to analyse the coupling and complementary of heterogeneous energy. On this basis, the supply‐demand general equations of multi‐energy flexibility are proposed, which accurately quantify the ability to cope with uncertainty through mutual flexibility. Through coordinated complementation and mutual exchange of multi‐grade flexibility, the system realizes the suppression of random power fluctuations. The scheduling model includes day‐ahead dispatch and intraday multi‐time scale dispatch, which can satisfy the adjustment speed requirements of different energy. Numerical results demonstrate that the proposed method effectively enhances the flexibility and economy of system operation. The flexible demand for energy of all grades can be satisfied. Compared with the flexible dispatch in the triple energy supply structure, the operating cost is reduced by 9.07%.

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“…e) Defuzzification of the output (converting the Fuzzy logic output to a real/crisp value) based on output membership function. f) Calculating the objective function based on C r,a t and financial profit, using (7), (8) or (9). g) Finding best experience for individual and group of particles.…”

Section: Fuzzy Particle Swarm Optimization (Fuzzy-pso)mentioning

confidence: 99%

“…To emphasize the formulation of controller, a single-hiddenlayer feed forward neural network is used in the proposed smart controller, presented in Fig. (9) and expressed as in (12).…”

Section: Neuro Fuzzy Particle Swarm Optimization (Nefpso)mentioning

confidence: 99%

Multiobjective Optimized Smart Charge Controller for Electric Vehicle Applications

Ali

Putrus

Marzband

et al. 2022

IEEE Trans. on Ind. Applicat.

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Enhancement of flexibility in multi-energy microgrids considering voltage and congestion improvement: Robust thermal comfort against reserve calls

Cited by 48 publications

References 47 publications

Optimal sizing of hybrid renewable energy systems by considering power sharing and electric vehicles

Optimal sizing of hybrid renewable energy systems by considering power sharing and electric vehicles

Flexible dispatching method for park‐level integrated energy systems considering energy cascade utilization

Multiobjective Optimized Smart Charge Controller for Electric Vehicle Applications

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