A flexible-reliable operation optimization model of the networked energy hubs with distributed generations, energy storage systems and demand response

This paper presents a novel optimization model for the flexible-reliable operation (FRO) of energy hubs (EHs) in electricity, natural gas, and district heating networks. To achieve flexible EH in the presence of renewable energy sources (RESs) and combined heat and power (CHP) system, energy storage...

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Vydáno v:Energy (Oxford) Ročník 239; s. 121923
Hlavní autoři: Dini, Anoosh, Hassankashi, Alireza, Pirouzi, Sasan, Lehtonen, Matti, Arandian, Behdad, Baziar, Ali Asghar
Médium: Journal Article
Jazyk:angličtina
Vydáno: Oxford Elsevier Ltd 15.01.2022
Elsevier BV
Témata:
algorithms
Cogeneration
Distributed generation
District heating
Electric power demand
electricity
energy
Energy costs
Energy management
Energy storage
Flexibility
Flexibility sources
Flexible-reliable operation
heat
Hubs
Hybrid evolutionary algorithm
hybrids
Machine learning
Mixed integer
Natural gas
Network reliability
Networked energy hub
Nonlinear programming
Optimization
Optimization models
Power flow
power generation
Renewable energy sources
Scenario-based stochastic programming
Search algorithms
standard deviation
Stochastic programming
Storage systems
Flexible-reliable operation
Flexibility sources
Hybrid evolutionary algorithm
Networked energy hub
Scenario-based stochastic programming
ISSN:0360-5442, 1873-6785
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Shrnutí:This paper presents a novel optimization model for the flexible-reliable operation (FRO) of energy hubs (EHs) in electricity, natural gas, and district heating networks. To achieve flexible EH in the presence of renewable energy sources (RESs) and combined heat and power (CHP) system, energy storage systems (ESS) and incentive-based demand response program (IDRP) are used. The proposed problem minimizes the total expected costs of operation, reliability, and flexibility of the energy networks including EHs. The optimization scheme is constrained to the optimal power flow (OPF) equations and the reliability requirements of these networks and the EH model in the presence of sources and active loads, namely ESS and IDRP. Scenario-based stochastic programming (SBSP) is utilized to model uncertainties of load, energy cost, power generation of RES, and network equipment availability. The problem has a mixed-integer nonlinear programming (MINLP) nature. Consequently, a hybrid teaching-learning-based optimization (TLBO) and crow search algorithm (CSA) is used to obtain a reliable optimal solution with a low standard deviation. Finally, by simulating the proposed scheme on a sample test system, the capabilities of this scheme in improving the reliability, operation, and flexibility of energy networks in accordance with the optimal scheduling for EHs are confirmed. •Modeling flexible-reliable operation in the electricity, gas, and heating networks.•Operation, reliability, flexibility, and economic indices for energy management.•Use of ESS and IDRP to improve EH flexibility in the presence of RES and CHP.•Solving FRO problem of energy networks with EH using hybrid TLBO and CSA.
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ISSN:0360-5442
1873-6785
DOI:10.1016/j.energy.2021.121923