Automated Planning of Rooftop PV Systems with Aerial Image Processing

Santos, Francis Carlos dos; Thornburg, Jesse; Ustun, Taha Selim

doi:10.1109/appeec.2018.8566666

Cited by 13 publications

(8 citation statements)

References 9 publications

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“…For instance, some researchers focused on increasing the PV hosting capacity at roof tops. Authors in [45] developed a software that can overcome the traditional way of PV planning for rooftop systems which attracts more costs. Solar forecasting one of most important component for economical roof top PV planning [46,47].…”

Section: Strategies For Increasing Pv Penetration Level In Smart Gridsmentioning

confidence: 99%

“…Solar forecasting one of most important component for economical roof top PV planning [46,47]. This [45] automated system can decrease the cost of PV planning installations [48], and assist the urban/suburban regions to end the energy crisis and aid the economic development [49]. Similarly, in [50] authors developed high-resolution geospatial assessment of roof top PV potential in European Union using satellite-based and statistical data sources with machine learning algorithms.…”

Section: Strategies For Increasing Pv Penetration Level In Smart Gridsmentioning

confidence: 99%

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A Review of Strategies to Increase PV Penetration Level in Smart Grids

Aleem

Hussain²,

Ustun³

2020

Energies

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Due to environmental concerns, power system generation is shifting from traditional fossil-fuel resources to renewable energy such as wind, solar and geothermal. Some of these technologies are very location specific while others require high upfront costs. Photovoltaic (PV) generation has become the rising star of this pack, thanks to its versatility. It can be implemented with very little upfront costs, e.g., small solar home systems, or large solar power plants can be developed to generate MWs of power. In contrast with wind or tidal generation, PV can be deployed all around the globe, albeit with varying potentials. These merits have made PV the renewable energy technology with highest installed capacity around the globe. However, PV penetration into the grid comes with its drawbacks. The inverter-interfaced nature of the PV systems significantly impacts the power system operation from protection, power flow and stability perspectives. There must be strategies to mitigate these negative impacts so that PV penetration into the grid can continue. This paper gives a thorough overview of such strategies from different research fields: such as communication, artificial intelligence, power electronics and electric vehicle charging coordination. In addition, possible research directions are given for future work.

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Section: Strategies For Increasing Pv Penetration Level In Smart Gridsmentioning

confidence: 99%

Section: Strategies For Increasing Pv Penetration Level In Smart Gridsmentioning

confidence: 99%

A Review of Strategies to Increase PV Penetration Level in Smart Grids

Aleem

Hussain²,

Ustun³

2020

Energies

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“…Numerous solution approaches exist that are based on finding a solution that satisfies the first-order optimality conditions of this problem. These conditions can be derived from the Lagrangian function of original optimization problem (1). Henceforth these conditions will be denoted by O.…”

Section: B Energy Management In Der Networkmentioning

confidence: 99%

“…The future electric delivery infrastructure is expected to differ from the existing system by increased penetration of Distributed Energy Resources (DERs) for example solar photovoltaic (PV) systems, electric vehicles (EVs) and energy storage systems. DERs are multiplying across the Americas, Europe, and Africa [1], [2]. The rollout is accompanied by widespread adoption of advanced sensing, actuation, computation and communication technologies.…”

Section: Introductionmentioning

confidence: 99%

Connecting Distributed Pockets of EnergyFlexibility through Federated Computations:Limitations and Possibilities

Mohammadi¹,

Thornburg²

2020

Preprint

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Electric grids are traditionally operated as multientity systems with each entity managing a geographical region. Interest and demand for decarbonization and energy democratization is resulting in growing penetration of controllable energy resources. In turn, this process is increasing the number of grid entities. The paradigm shift is also fueled by increased adoption of intelligent sensors and actuators equipped with advanced processing and computing capabilities. While collaboration among power grid entities (agents) reduces energy cost and increases overall reliability, achieving effective collaboration is challenging. The main challenges stem from the heterogeneity of system agents and their collected information. Furthermore, the scale of data collection is constantly increasing and many grid entities have strict privacy requirements. Another challenge is the energy industry's common practice of keeping data in silos. Federated computation is an approach well suited to addressing these issues that are increasingly important for multi-agent energy systems. Through federated computation, agents collaboratively solve learning and optimization problems while respecting each agent's privacy and overcoming barriers of cross-device and cross-organization data isolation. In this paper, we first establish the need for federated computations to achieve energy optimization goals of the future power grid. We discuss practical challenges of performing multiagent data processing in general. Then we address challenges that arise specifically for orchestrating operation of connected distributed energy resources (DERs) in the Internet of Things (IoT). We conclude this paper by presenting a novel federated computation framework that addresses some of these issues, and we share examples of two initial field test setups in research demonstrations and commercial building applications with Grid Fruit LLC.

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“…Therefore, the economic emission dispatch (EED) idea fulfills the minimum expense and minimum pollution criteria. This growing concern of CO 2 emissions and global warming motivates the world to be more vigilant in meeting its energy needs with renewable energy sources [1,2]. India intends to reduce its gross domestic product (GDP)-related emissions by 33-35% by 2030 compared to 2005 and generate 40% of its total electric power capacity of around 350 GW using renewable energy sources [3].…”

Section: Introductionmentioning

confidence: 99%

Day-Ahead DSM-Integrated Hybrid-Power-Management-Incorporated CEED of Solar Thermal/Wind/Wave/BESS System Using HFPSO

Kumar

Soren²,

Latif

et al. 2022

Sustainability

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This paper presents a day-ahead demand-side management (DSM)-integrated hybrid power management algorithm (PMA) with an objective of combined economic and emission load dispatch (CEED) considering losses. The algorithm was tested on an IEEE 30-bus six-generator system consisting of solar thermal/wind/wave/battery energy storage systems (BESSs) considering real-time data of the Gujarat (19°07′ N, 72°51′ E) coastal region and diverse renewable energy (RES) and storage sources. A maiden attempt of utilizing hybrid firefly particle swarm optimization (HFPSO) to reduce thermal energy consumption and carbon emission was presented. Further, a novel attempt for a versatile renewable power management system was proposed based on a day-ahead pricing scheme to manage load demand and generation effectively. The PMA permits the users to bring down the general load demand and adjust the load curve during the peak time frame. The comparative performance of particle swarm optimization (PSO), firefly algorithm (FA), and HFPSO algorithms in solving the objective was presented. The HFPSO algorithm was found to be the best in terms of a fuel cost of 544.160 (USD/h), emission 20.301 (kg/h), and peak-load reduction of 31.292%, 24.210%, and 51.197% for residential, commercial, and industrial loads, respectively, when contrasted with the other two algorithms PSO and FA.

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Automated Planning of Rooftop PV Systems with Aerial Image Processing

Cited by 13 publications

References 9 publications

A Review of Strategies to Increase PV Penetration Level in Smart Grids

A Review of Strategies to Increase PV Penetration Level in Smart Grids

Connecting Distributed Pockets of EnergyFlexibility through Federated Computations:Limitations and Possibilities

Day-Ahead DSM-Integrated Hybrid-Power-Management-Incorporated CEED of Solar Thermal/Wind/Wave/BESS System Using HFPSO

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