A Stochastic-IGDT model for energy management in isolated microgrids considering failures and demand response

Tostado‐Véliz, Marcos; Kamel, Salah; Aymen, Flah; Jordehi, Ahmad Rezaee; Jurado, Francisco

doi:10.1016/j.apenergy.2022.119162

Cited by 53 publications

(12 citation statements)

References 56 publications

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“…Also, the variables δ n,t,s and δ m,t,s are the voltage angles related to n th and m th busses. The variable P line n,m,t,s shows the line power between the busses n and m at any time introduced in (22) whose line capacity value is limited by (23). Equations ( 24) and (25) determine the electrical load of each bus and the reference bus angle, respectively.…”

Section: Problem Formulationmentioning

confidence: 99%

“…[21] has discussed the optimization problem in order to reduce the cost of an EH by considering the PV as well as IPL. Also in [22], in order to minimize the impact of unexpected events on the system, a new energy management tool for isolated microgrids that is resistant to failure is presented. In this paper, a stochastic-IGDT formulation is developed, by which typical uncertainties are modeled through scenarios.…”

Section: Introductionmentioning

confidence: 99%

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Eco-Environmental Uncertain Management of Various Energy Hubs within a Microgrid Concentrated on Demand Response, Intelligent Parking Lots, and Power-to-Gas Unit Effects

Gharai

Hooshmand

Nosratabadi

2023

International Journal of Energy Research

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Nowadays, consumption of different energy carriers is increasing due to the division of community activities in various sectors such as residential, commercial, and industrial. The energy hub concept is used to meet the demands of different energy carriers in these sections. In this paper, a new method for energy management of a microgrid is presented in an intelligent network based on three types of commercial, residential, and industrial energy hubs. In the energy hubs, a wide range of components, including renewable and nonrenewable generation units, converters, storage devices, intelligent parking lots consisting of electric vehicles, P2G units, and cogeneration units, are used to supply electrical, heating, cooling, and natural gas energies. Some parameters like renewable generations, energy demands, and arriving and departure time of electric vehicles are considered to be uncertain, and a relevant method is applied to provide a near-realistic profile for them. In addition, a demand response paradigm has also been proposed for three types of electrical, heating, and cooling demands at the hub output side. Therefore, in this method, a mixed integer linear programming model is proposed based on benefit and reduction of emission caused by the activity of gas-burning units for short-term planning and obtaining an optimal solution for generation and sending loads in a distribution network containing energy hubs. To evaluate the performance of the proposed modeling and structure, the presented approach is applied on a modified 33-bus IEEE test network. According to the results of the energy management model, it is possible to significantly increase benefits and also obtain a smoother consumption pattern in consumption with financial incentives.

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Section: Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Eco-Environmental Uncertain Management of Various Energy Hubs within a Microgrid Concentrated on Demand Response, Intelligent Parking Lots, and Power-to-Gas Unit Effects

Gharai

Hooshmand

Nosratabadi

2023

International Journal of Energy Research

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“…Eventually, the single-level formulation of the problem depicted in ( 63)-( 66) is rewritten as ( 68)-(73). Equation (68) refers to the fact that the single-level problem has the objective function of the upper-level problem, (1), and its constraints, (2)-( 11) [59]. Equations ( 69)-( 73) show the KKT model of the lower-level problem, which are found by equalizing the derivatives of the Lagrange function with respect to the variables of this problem (x, ϕ, and λ) to zero.…”

Section: Subject Tomentioning

confidence: 99%

Flexibility Pricing of Grid-Connected Energy Hubs in the Presence of Uncertain Energy Resources

Hamrahi,

Mallaki,

Pirkolachahi

et al. 2023

International Journal of Energy Research

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The paper expresses the problem of flexibility pricing in energy hubs (EHs) that are in connection with electricity, heat, and gas networks considering of uncertain energy generation sources. Scheme includes a bilevel formulation. Its upper-level states for modeling of the flexibility services are provided by various resources within the EH. The problem considers maximization of the expected profit of these resources in the flexibility market. The problem constraints include the flexibility model of flexible resources such as storage devices, responsive loads, and controllable distributed generations (DGs). The flexibility model of resources relies on their active and heat power. The lower-level problem calculates energy and flexibility prices and formulates the flexible operation of energy resources considering EHs. Here, constraints include optimal power flow equations in the energy networks; operation model of EHs with power sources, storage devices, and different responsive loads; and flexibility limits of EHs. Also, a linear approximation model is adopted in the suggested design using conventional linearization techniques. Next, the Karush–Kuhn–Tucker (KKT) method is used to derive a single-level model for the problem. The scheme adopts scenario-based stochastic programming (SBSP) so that uncertainties of renewable power, energy price, load, and energy consumption of mobile storage devices are properly modeled. Finally, the results validate the suggested design’s potential in modifying and enhancing the operation, flexibility, and economic situation of energy networks and EHs.

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“…With the rapid development of smart grids, participants in modern power systems have become more diverse in terms of power generation, distribution and consumption [2]. For an AC/DC hybrid microgrid that integrates multiple distributed energy sources, energy storage and loads, the cooperation and competition among different stakeholders is an important issue.…”

Section: Introductionmentioning

confidence: 99%

Master-slave game-based optimal operation of microgrids containing customer-owned photovoltaics

Liu,

Ji,

Shi

et al. 2024

Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023)

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Due to the dispersed and disorderly feathers of distributed photovoltaic (PV) power generation on the user side, the difficulties of the low-carbon transformation of the power grid and sustainable development of large-scale distributed PV power generation is increased. Based on a master-slave game, this article proposes an optimizing scheme for the operation of microgrids, where the users built PV and shared energy storages. Firstly, this paper introduces the operational framework of the system and the functions of micro-network operator (MNO) and load aggregator (LA). The optimization operation models for MNO and LA are modelled in the framework of Stackelberg master-slave game. The game relationship between MNO and LA is analyzed. Yalmip tool with the CPLEX solver are introduced to solve the differential evolution algorithm. Final, the effectiveness of the proposed method is verified in numerical examples

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A Stochastic-IGDT model for energy management in isolated microgrids considering failures and demand response

Cited by 53 publications

References 56 publications

Eco-Environmental Uncertain Management of Various Energy Hubs within a Microgrid Concentrated on Demand Response, Intelligent Parking Lots, and Power-to-Gas Unit Effects

Eco-Environmental Uncertain Management of Various Energy Hubs within a Microgrid Concentrated on Demand Response, Intelligent Parking Lots, and Power-to-Gas Unit Effects

Flexibility Pricing of Grid-Connected Energy Hubs in the Presence of Uncertain Energy Resources

Master-slave game-based optimal operation of microgrids containing customer-owned photovoltaics

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