Bi-Level Multi-Objective Planning Model of Solar PV-Battery Storage-Based DERs in Smart Grid Distribution System

Wankhede, Sumeet K.; Paliwal, Priyanka; Kirar, Mukesh Kumar

doi:10.1109/access.2022.3148253

Cited by 15 publications

(5 citation statements)

References 28 publications

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“…It enables the automatic control of population size and other parameters at run time to improve the search efficiency and convergence speed. Butterfly PSO [ 26 ]:- It solves the optimization problems by imitating the butterfly behavior during the food search and the mating process. Using the above equations, NCC-based scheduling optimization technique (Algorithm 1) is developed and implemented.…”

Section: Methodsmentioning

confidence: 99%

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A Nowcasting Central Controller with Continuous RTP for Residential Device Scheduling using Swap-Based BFPSO

2023

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Energy management plays an important role in the residential sector allowing consumers to take control over their energy consumption w.r.t. the market fluctuations. For a long time, forecasting model-based scheduling was thought as a way to mitigate the expected versus reality electricity pricing gap. However, it does not always present a working model owing to uncertainties involved around it. This paper presents a scheduling model having a Nowcasting Central Controller. This model is designed for residential devices using continuous RTP and targets on optimizing the device schedule in the current time slot as well as the subsequent time slots. It is dependent on the current input data and less on the past dataset, making it implemen at any situation. To solve the optimization problem, four variants of PSO in conjunction with swapping operation are implemented on the proposed model by considering a normalized objective function made up of two cost metrics. The results demonstrate a quickness and reduction in costs by BFPSO at each time slot. A comparison is carried out among different pricing schemes that clearly establish the effectiveness of CRTP over DAP and TOD. With CRTP performing the best of the lot, the NCC model is found to be highly adaptable and robust to sudden changes in pricing schemes.

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Section: Methodsmentioning

confidence: 99%

“…Butterfly PSO [ 26 ]:- It solves the optimization problems by imitating the butterfly behavior during the food search and the mating process. …”

Section: Methodsmentioning

confidence: 99%

A Nowcasting Central Controller with Continuous RTP for Residential Device Scheduling using Swap-Based BFPSO

2023

Self Cite

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“…However, the main complexity of multi-objective optimization lies in the potential existence of conflicts between the functions to be optimized. This forces grid operators to develop strategies allowing to optimize their operation according to their specific interests and to apply expert judgment with the purpose of selecting the best option [97].…”

Section: ) Mathematical Formulationmentioning

confidence: 99%

On Integrating and Operating Distributed Energy Resources in Distribution Networks: A Review of Current Solution Methods, Challenges, and Opportunities

Guzmán-Henao,

Bolaños,

Montoya

et al. 2024

IEEE Access

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The growing demand for electric power and the need for an energy transition that contributes to the reduction of global greenhouse gas emissions have driven the development of various energy generation, storage, and offset technologies. These technologies are known as distributed energy resources. Their integration into distribution power systems not only contributes to improving operating aspects, but also allows supplying electricity to areas that do not have access to large-scale power systems. Therefore, the integration and management of these resources has become a topic of interest, and several studies seek to optimize their impact on technical, economic, and environmental aspects. However, this optimization poses specific challenges related to the type and number of variables related to the operation of a distribution power system. This review article aims to describe the main challenges posed by three-phase AC threephase distribution power systems under scenarios involving the integration of distributed energy resources. In addition, it presents some approaches proposed by different authors to improve the technical, economic, and environmental aspects of power grids. It can be stated that the strategies presented in the literature fail to consider scenarios that simultaneously integrate different types of technologies and optimize them while following a multi-objective approach and considering three-phase systems in a context of variable generation and demand. Therefore, future work in this field should address these aspects in a holistic manner, taking into account the computation efforts and processing times required by intelligent algorithms.INDEX TERMS Electrical mathematical model, DERs, DG, Energy costs, CO 2 emissions, Energy losses, BESS.

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“…The study in [5] proposed the planning concept of prioritizing the optimization of the grid structure and then considering increasing the transformer capacity, which reduced substation investment compared to Energies 2023, 16, 5648 2 of 21 traditional planning methods. The study in [6,7] took the replacement of feeders and the location and capacity of the DG as the planning content and constructed a cost-oriented planning model, whose objective function included the investment costs of feeders and the DG. The studies in [8,9] considered the differences in interests between DG investors and power distribution companies based on a source-grid-load three-layer model and discussed the impact of DR on planning.…”

Section: Introductionmentioning

confidence: 99%

A Collaborative Planning Method for the Source and Grid in a Distribution System That Considers Risk Measurement

et al. 2023

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The existing distribution system planning methods do not fully consider improving power supply capacity and reliability through the coordination of multiple planning factors, and they are not comprehensive enough in quantifying planning risks. Therefore, this paper proposes a collaborative planning method for sources and networks that considers risk measurement. A multi-layer planning model is first constructed that includes a grid planning layer, a power planning layer, a switch planning layer, and an operation optimization layer. In the model, a risk measurement method combining opportunity constraints and conditional value-at-risk objectives is used to comprehensively assess the risk of the node voltage and branch current exceeding the limit caused by load uncertainty. Then, a solution strategy based on a genetic algorithm and a sparrow search algorithm is proposed to coordinate the contradiction between the solution time and the accuracy of the multi-layer model. Finally, taking a planned area to be expanded as an example, the results show that compared to the existing collaborative planning methods for sources and networks, the proposed method in this paper reduces the planning risks caused by load uncertainty by more than 50% and increases the annual net income of the power distribution company and the DG operators by RMB 1.5 million and RMB 1.1 million, respectively.

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Bi-Level Multi-Objective Planning Model of Solar PV-Battery Storage-Based DERs in Smart Grid Distribution System

Cited by 15 publications

References 28 publications

A Nowcasting Central Controller with Continuous RTP for Residential Device Scheduling using Swap-Based BFPSO

A Nowcasting Central Controller with Continuous RTP for Residential Device Scheduling using Swap-Based BFPSO

On Integrating and Operating Distributed Energy Resources in Distribution Networks: A Review of Current Solution Methods, Challenges, and Opportunities

A Collaborative Planning Method for the Source and Grid in a Distribution System That Considers Risk Measurement

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