Compared to electricity price uncertainty, the sensitivity analysis suggests that gas price uncertainty negatively impacts the system. In addition, the two-layer optimization model under a
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The reserve scheduling is important for integrated energy systems to cope with sudden disturbances such as fluctuations of renewable energy. The existing reserve scheduling approaches for integrated
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Then, considering the net cost of coordinated planning of energy storage and transformer are minimum and the benefit of energy storage operation is maximum, a two-layer optimization
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Hydrogen is characterized by zero carbon emissions and high energy density, which can effectively support the consumption of a high proportion of intermittent new energy. Considering the
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This dual-layer model has an upper layer that addresses challenging PV scenarios and a lower layer that orchestrates the coordinated scheduling of energy storage systems, capacitor banks
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The two-layer optimization model and its solution strategy are presented, and considering different intelligence algorithms, the comparative verification of the proposed approach in
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Rational design and advanced energy management considering multiple uncertainties are imperative for the superior integrated energy system (IES). This work proposed a novel two-layer
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Demand response is an effective way to alleviate the gap between energy supply and demand and enhance energy utilization efficiency. It is of great significance to promote the sustainable
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In this study, the optimal scheduling is divided into two layers to adapt to the particularity of hydrogen storage system (HSS). The model-free and model-based optimization architecture is
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This paper presents a two-layer framework for improving the resilience of a 118-bus active distribution network consisting of four microgrids, which includes hybrid storage systems,
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The innovations of this paper are summarized as follows: (1) A RES combining electricity storage, hydrogen storage, and heat storage is proposed, and EVs and HVs are considered; (2) a
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One of the most important issues that must be taken into consideration during the planning of energy storage systems (ESSs) is
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• A system combining electricity storage, hydrogen storage, heat storage is proposed. • Two-layer collaborative optimization model of system design and operation is set up. • The systems
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For solving grid voltage fluctuation as a result of the increase of renewable energy penetration, a two-layer optimization strategy considering the life-cycle cost and benefit is proposed.
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In view of the significant impact of renewable energy on the stability and economy of the power system, a hybrid energy storage system (HESS) is added to solve
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Therefore, this study introduces a two-layer optimization framework that enables DGSs to trade energy freely, voluntarily, and independently and to share ESSs within the energy community,
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This study presents a two-layer collaborative optimization approach for high-rise office buildings that do not employ renewable energy. It takes into account both the equipment
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This paper presents a two-layer optimization model to determine the optimal siting and sizing of ESSs in the distribution network and their best compromise between the real power loss,
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Based on the existing research, an integrated energy system optimization model with bi-level programming robustness is proposed for
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Integrated Energy Systems (IESs) are important vehicles for achieving energy conservation and emission reduction. However, operating an IES smoothly is difficult due to
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The operation schemes of the photovoltaic system and energy storage in the lower layer model utilize the upper layer optimization results as a reference point, correcting for any deviations in
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However, the existing studies often isolate photovoltaic-energy storage system (PV-ESS) configurations from detailed load scheduling, limiting industrial park energy management. To address
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In this context, this paper introduces a novel two-layer energy management strategy for microgrid clusters, utilizing demand-side flexibility and the capabilities of shared battery energy
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In this paper, the coupling relationship between energy sources is used to carry out analysis and establish the capacity allocation and optimization model of the integrated energy system.
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In this paper, a two-tiered optimization model is proposed and is used to optimizing the capacity of power storage devices and the yearly production of the system.
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Energy storage is widely used in the fields of power peak load shifting and access of renewable energy. This paper proposes a two-level optimization model that considers both planning and operation of
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A two-layer optimization strategy for the battery energy storage system is proposed to realize primary frequency regulation of the grid in order to
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Carbon emissions from the operation phase of buildings exceed 20% of the total national carbon emissions in China. It has become an inevitable trend to reduce carbon emissions from the operation
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To accommodate the integration of DG, this study proposes a bi-level optimisation model to determine the optimal installation site and the optimal capacity of battery energy storage...
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This paper proposes a two-level optimization model that considers both planning and operation of energy storage system.
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