Improving the hosting capacity of photovoltaic distributed generators in low voltage distribution systems by using demand response

Moreira, Saulo Gomes; Kalache, Nadya; Paschoareli, Dionizio

doi:10.1109/eeeic.2017.7977753

Cited by 6 publications

(4 citation statements)

References 6 publications

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“…Consequently, realizing a substantial integration of renewable energy sources while maintaining the dependable operation of the power grid underscores the pivotal significance of investigating the coordinated planning of source, network, load, and energy storage within the power system-accounting for diverse energy storage alternatives. Numerous existing studies delve into the flexibility resources inherent in each facet of the source, network, load, and storage components [9]- [15] .However, there is a noticeable scarcity of research concerning the power system that takes into account the amalgamation of unit configurations, grid enhancements, demandside responses, and energy storage. Consequently, the challenge of orchestrating the planning and scheduling of these manifold flexibility resources to synergistically enhance their utilization is a pressing matter in need of resolution.…”

Section: Introductionmentioning

confidence: 99%

A coordinated planning model for power system source-network-load-storage considering multiple types of energy storage

Sun,

Li,

Zhang

et al. 2024

J. Phys.: Conf. Ser.

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Conventional power systems often neglect the amalgamation of planning and scheduling during their preparatory phases, and their methodologies of construction and operation may fall short of the requisites posed by a future characterized by a high proportion of renewable energy integration. In this paper, an integrated planning and scheduling methodology has been developed for the source-network-load-storage power system, factoring in a diverse array of energy storage modalities. Initially, cost models and operational models are formulated encompassing unit retrofitting, line expansion, demand response (DR), energy storage configuration and operation, and penalties related to solar curtailment. Subsequently, the optimization functions and operational constraints of each facet are harmonized, culminating in a comprehensive coordinated planning and scheduling framework for the ‘source-network-load-storage’ power system. The final phase involves simulation analysis conducted on an IEEE-30 nodes power system case. Results illustrate that the integrated ‘source-network-load-storage’ approach exhibits varied efficacies in exploiting system flexibility resources, contingent upon the distinctive capacity-power configurations of multiple types of energy storage. Prudent calibration of energy storage parameters demonstrates the potential to mitigate network underutilization and enhance overall system economics. This corroborates the viability of the proposed ‘integrated planning and scheduling’ model for the power systems.

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Section: Introductionmentioning

confidence: 99%

A coordinated planning model for power system source-network-load-storage considering multiple types of energy storage

Sun,

Li,

Zhang

et al. 2024

J. Phys.: Conf. Ser.

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“…Taha et al (2021) further improved the construction of a generalized correlation polyhedral set model on the basis of the study proposed in Tan et al (2020) so that the polyhedral set can better cover the range of the occurrence of uncertain parameters. Moreira et al (2017) constructed an elliptic set to describe the PV output, and an affinely adjustable robust optimal operation strategy for the active distribution network was proposed. Although the elliptic set can well-consider the correlation between uncertain parameters, its nonlinear structure increases the difficulty of solving the model.…”

Section: Introductionmentioning

confidence: 99%

“…Although the elliptic set can well-consider the correlation between uncertain parameters, its nonlinear structure increases the difficulty of solving the model. Although the correlation of uncertain sets is considered in Chen et al (2017), Moreira et al (2017), Tan et al (2020), andTaha et al (2021), the large envelope range of the uncertain sets they established will increase the conservatism of decision-making.…”

Section: Introductionmentioning

confidence: 99%

A robust optimization method for new distribution systems based on adaptive data-driven polyhedral sets

Ye,

Wang,

Pan

et al. 2024

Front. Energy Res.

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In order to better describe the uncertainty of renewable energy output, this paper proposed a novel robust optimization method for new distribution systems based on adaptive data-driven polyhedral sets. First, an ellipsoidal uncertainty set was established using historical data on renewable energy output, and a data-driven convex hull polyhedral set was established by connecting high-dimensional ellipsoidal vertices; on this basis, an adaptive data-driven polyhedral set model was established to address the problem of high conservatism in the scaling process of convex hull polyhedral sets. Furthermore, a novel adaptive data-driven robust scheduling model for new distribution systems was established, and a column-and-constraint generation (C&CG) algorithm was used to solve the robust scheduling model. Finally, the improved IEEE-33 bus system simulation verification shows that the robust scheduling model for new distribution systems based on adaptive data-driven polyhedral sets can reduce conservatism and improve the robustness of optimization results.

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“…Lv et al [13] stated that regional differences should be considered when the sunrise power of photovoltaic power generation is scheduled from a regional perspective. Moreira et al [14] proposed a new electricity price method from the point of view of electricity price to promote distributed photovoltaic consumption. Hu et al [15] established a cluster planning model of renewable energy power generation and power grid, aiming to enhance the absorption capacity of distributed photovoltaics from the perspective of cluster complementarity.…”

Section: Introductionmentioning

confidence: 99%

Optimal dispatching of distributed photovoltaic system based on operating costs

Zhang,

Li,

et al. 2024

J. Phys.: Conf. Ser.

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This article investigates the method of distributed photovoltaic optimal dispatching method. The goal is to minimize the operating costs of the distribution network system by coordinating electric heating and distributed energy storage when adjusting the demand-side resources of the distribution network. The analysis is conducted on the operating costs of the distribution network system under different penetration rates of photovoltaics to further promote the accommodation capacity of distributed photovoltaics. The research results show that when the penetration rate of photovoltaics is less than or equal to 90%, only electric heating needs to participate in the accommodation capacity of distributed photovoltaics; when the photovoltaic penetration rate exceeds or equals 100%, both distributed energy storage and electric heating need to participate in the accommodation capacity of distributed photovoltaics. As the penetration rate of photovoltaics gradually increases, the total operating costs and purchased electricity costs show a downward trend. When the penetration rate of photovoltaics increases from 70% to 100%, the network loss costs decrease first, but when the penetration rate reaches 110%, photovoltaics cannot be completely integrated, leading to an increase in network loss costs and dispatching costs. This method fully utilizes the flexible adjusting capabilities of electric heating loads and distributed energy storage, promotes the accommodation capacity of distributed photovoltaics, and improves the economic efficiency of distribution network operation.

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Improving the hosting capacity of photovoltaic distributed generators in low voltage distribution systems by using demand response

Cited by 6 publications

References 6 publications

A coordinated planning model for power system source-network-load-storage considering multiple types of energy storage

A coordinated planning model for power system source-network-load-storage considering multiple types of energy storage

A robust optimization method for new distribution systems based on adaptive data-driven polyhedral sets

Optimal dispatching of distributed photovoltaic system based on operating costs

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