Regression model for predicting the speed of wind flows for energy needs based on fuzzy logic

Khasanzoda, Nasrullo; Zicmane, Inga; Beryozkina, Svetlana; Safaraliev, Murodbek; Sultonov, Sherkhon M.; Kirgizov, Alifbek

doi:10.1016/j.renene.2022.04.017

Cited by 29 publications

(10 citation statements)

References 23 publications

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“…Interestingly, the operational cost of a VPP with DGs and ALs is made up of the cost of fuelling DGs (second term of the second line of Eq. ( 1)) and purchasing energy from the distribution network [32][33][34][35][36]. The operational costs of ALs and VPPs are the same in the first term [1].…”

Section: Dg Dg Dg I Dt H S I Dt H S I Dt I Dt S Res P S U I Dt H Smentioning

confidence: 99%

“…This study used the penalty function technique [58] to estimate the distribution network's operational limits, ( 7)-( 9), the NRES's capacity limit, ( 14), the energy stored in the ESS, (18), and the DRP constraint, (21). The fitness function (FF) in this approach is equal to the objective function of the main problem (23), plus the total of the penalty functions (PeF) of the given constraints, as stated in (35). The penalty function for constraints a  b and a = b are expressed as .max(0, ab) and .…”

Section: E Eq I Et mentioning

confidence: 99%

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Resiliency-Constrained Placement and Sizing of Virtual Power Plants in the Distribution Network Considering Extreme Weather Events

Zadehbagheri,

Pirouzi,

Dehghan

et al. 2024

Preprint

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The placement and scale of virtual power plants (VPPs) in distribution networks are the only topics covered in this article that pertain to the resilience of the grid to severe weather. This problem is framed as a two-objective optimization, where the predicted energy that the network would not deliver in the case of an earthquake or flood, and the annual planning cost of the VPP, are the two objective functions to be reduced. The constraints include the formula for VPP planning, limitations on network operation and resilience, and equations for AC power flow. Uncertainties about demand, renewable power, energy prices, and the supply of network hardware and VPP components are all taken into account in stochastic programming. The proposed technique achieves a single-objective formulation in the subsequent stage by the use of a Pareto optimization strategy based on the ε-constraint method. This article uses a solver based on a hybrid of Crow search algorithm (CSA) and sine cosine algorithm (SCA) to achieve the trustworthy optimal solution with lowest dispersion in the final response. In order to tackle the problem, the proposed system looks at how the VPP affects network resilience, scales it, and combines it with the hybrid evolutionary algorithm. In the end, the numerical findings verify that the optimal placement and dimensions of VPPs help to improve the operational, financial, and resilience status of the distribution network by applying the proposed problem to a 69-bus distribution network.

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Section: Dg Dg Dg I Dt H S I Dt H S I Dt I Dt S Res P S U I Dt H Smentioning

confidence: 99%

Section: E Eq I Et mentioning

confidence: 99%

Resiliency-Constrained Placement and Sizing of Virtual Power Plants in the Distribution Network Considering Extreme Weather Events

Zadehbagheri,

Pirouzi,

Dehghan

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…To make this happen, quite a few scenarios need to be considered, and the probability distribution function (PDF) related to uncertainties should be known to reach a reliable solution. However, having accurate knowledge of the PDFs related to the output power of renewable source [28][29][30][31] (WF), for instance, requires considerable time. Additionally, as the number of scenarios is large, the computational modelling is complicated and time-demanding.…”

Section: Contributionsmentioning

confidence: 99%

Network‐constrained unit commitment‐based virtual power plant model in the day‐ahead market according to energy management strategy

Pirouzi

2023

IET Generation Trans & Dist

105

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Energy management of a virtual power plant (VPP) that consists of wind farm (WF), energy storage systems and a demand response program is discussed in the present study. The introduced strategy is realized at the electrical power transmission level and takes into account the collaboration between VPPs in day‐ahead energy and reserve markets. One notable feature of the proposed strategy is attempting to make the revenue of VPPs close to the operating cost of generating units as much as possible. The objective function is subjected to the network‐constrained unit commitment model, up and down reserve requirements and the proposed VPP constraints. This method is taking into account the uncertainty in system and VPP loads, day‐ahead market energy and reserve price and WF power generation. This strategy is applied as hybrid stochastic‐robust scheduling to the VPP at the electrical power transmission level, where the scenario‐based stochastic programming models the uncertainty of day‐ahead market prices, and the bounded uncertainty‐based robust optimization has been adopted to model the uncertainties related to the load and WF power. Scheme has been tested on IEEE systems. According to the obtained results, the proposed coordination of VPPs in the mentioned markets demonstrates capability of suggested strategy.

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“…To this end, a two-stage optimization problem is established to minimize the expected energy loss (EEL) and the additive inverse of the VSI. In this presentation, the boundaries related to the VSI, optimal AC power flow, and operating model of renewable sources [37][38][39][40][41] and flexible tools (e.g. EVs and DRPs), as well as inverter, are taken into account.…”

Section: Operation Of Sdn With Ibvppsmentioning

confidence: 99%

Energy management of distribution network with inverter‐based renewable virtual power plant considering voltage security index

Azarhooshang,

Rezazadeh

2023

IET Renewable Power Gen

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Virtual power plants (VPP) with resources and storages are able to control the active power of the network. They are also connected to the network through an inverter, which is capable of controlling reactive power. Therefore, it is expected that the optimal use of inverter‐based VPP can play an effective role in improving the economic and technical status of the distribution network. So, the operation of a smart distribution system is presented in this paper by considering inverter‐based VPPs constrained to the operator's measures. The weighted sum of expected energy loss (EEL) and voltage security index (VSI) is minimized while considering AC optimal power flow equations, restrictions of network's security, and operating model of the inverter‐based VPPs. Uncertainties with an origin of the amount of demand, renewable energy, and parameters of mobile energy storage are also discussed. The uncertainties are modelled using a stochastic optimization approach relying on the unscented transformation (UT). Evaluating inverter‐based VPP performance, providing models of flexible resources such as responsive loads and mobile storages, checking network voltage security status, and modelling uncertainties using the UT method are among the innovations of this study. According to the results, it is demonstrated that the technical situation of the distribution system is improved with the help of optimal management of the VPP. With energy management of the inverter‐based VPP, the suggested design has succeeded to enhance the operating status (voltage security) of the system by approximately 33–73% (12%) in comparison to power flow studies.

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Regression model for predicting the speed of wind flows for energy needs based on fuzzy logic

Cited by 29 publications

References 23 publications

Resiliency-Constrained Placement and Sizing of Virtual Power Plants in the Distribution Network Considering Extreme Weather Events

Resiliency-Constrained Placement and Sizing of Virtual Power Plants in the Distribution Network Considering Extreme Weather Events

Network‐constrained unit commitment‐based virtual power plant model in the day‐ahead market according to energy management strategy

Energy management of distribution network with inverter‐based renewable virtual power plant considering voltage security index

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