Stationary and mobile storages-based renewable off-grid system planning considering storage degradation cost based on information-gap decision theory optimization

Jokar, Mohammad Reza Akbari; Shahmoradi, Saeid; Mohammed, Adil Hussein; Foong, Loke Kok; Le, Binh Nguyen; Pirouzi, Sasan

doi:10.1016/j.est.2022.106389

Cited by 70 publications

(14 citation statements)

References 46 publications

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“…To elaborate, the suggested DRP model can displace the demand during the off-peak period as per the price of electricity in the day-ahead market, as given by Equations ( 19) and ( 20) and the objective function (1). The limitations applied to the ESS are presented in Equations ( 21)- (25), showing the charge and discharge limits ( 21) and ( 22) [55][56], energy storage in the ESS (23), the initial energy of the ESS (24) and the energy limit, (25) [57]. Additionally, the VPP power limit is shown by Equations ( 26) and (27), where constraint (26) expresses the maximum active power output of the VPP.…”

Section: Vpp Constraintsmentioning

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

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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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Section: Vpp Constraintsmentioning

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

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“…The allowed voltage magnitude is in the range [0.95-1.05] p.u. [72][73][74][75][76][77][78][79][80]. The characteristics of its transmission lines are presented in [67], where the resistance of each transmission line is 10% of its reactance.…”

Section: Datamentioning

confidence: 99%

Participation of energy hubs in the market clearing price‐based energy market considering generation and consumption uncertainty modelling

Farsani

Joorabian

Mortazavi

2023

IET Renewable Power Gen

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The market clearing pricing (MCP) model is used to operate electricity, gas, and heating networks (EGHNs) with flexible energy hubs (EHs) in the day‐ahead energy market. It's two‐level optimization. Its higher level refers to EHs' participation in the market and their profit maximization bound by the operational model of power sources, storage devices, and responsive loads in the form of EHs and their flexibility limit. In the lower‐level problem, the MCP model calculates energy price and evaluates EH performance's effects on the networks' technical and economic indices. It optimizes power flow in the networks to reduce centralized generator operating costs. This approach is linear approximation. Unscented transformation (UT) model load and renewable power uncertainties. This technique contains the fewest situations, reducing issue volume and computing time. Benders decomposition (BD) technique calculates energy prices, EHs, and networks. Finally, the numerical results show that the proposed scheme can extract the optimal economic and flexibility states of EHs. EHs' optimal performance enhanced energy networks' economic and operating status compared to power flow studies and promoted societal welfare by lowering energy prices.

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“…[117] provides the detailed information on the given test system, including the place and capacity of distribution lines, substations, and peak load. Once can achieve the daily load profile by multiplying the peak load and the daily load factor curve [125][126][127][128][129][130][131] as shown in Figure 2 [1]. There are six IBVPP in the system.…”

Section: Problem Datamentioning

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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Stationary and mobile storages-based renewable off-grid system planning considering storage degradation cost based on information-gap decision theory optimization

Cited by 70 publications

References 46 publications

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

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

Participation of energy hubs in the market clearing price‐based energy market considering generation and consumption uncertainty modelling

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

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