Planning and optimization of autonomous DC microgrids for rural and urban applications in India

Phurailatpam, Chitaranjan; Rajpurohit, Bharat Singh; Wang, Lingfeng

doi:10.1016/j.rser.2017.09.022

Cited by 103 publications

(48 citation statements)

References 42 publications

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“…In general, the objectives of the models for the optimal design and scheduling of microgrids are cost-minimization problems under a variety of different constraints [6,7]. Owing to such research efforts, it is already possible to successfully integrate renewable energy sources in urban areas, improve the efficient use of energy in developing countries (mitigating dependency on fossil fuels and electrifying rural areas) like India [8,9], or simply facilitate electrification of remote areas [10]. Generally, energy service provision in a microgrid environment can be split into the two energy services of electricity and heating/cooling.…”

Section: State Of the Artmentioning

confidence: 99%

Economic Assessment and Business Models of Rooftop Photovoltaic Systems in Multiapartment Buildings: Case Studies for Austria and Germany

Fina

Fleischhacker

Auer

et al. 2018

Journal of Renewable Energy

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This paper analyses the profitability and business models of shared, nonsubsidized PV systems' usage in multiapartment buildings in Austria in the context of legislative amendments which came into force in July 2017. In addition, it compares the Austrian results with those of Germany, where significantly higher retail electricity prices determine the profitability benchmark. To that end, a multiobjective optimization model is developed for the optimal dimensioning of PV systems and energy storage facilities in keeping with different end user objectives, ranging from minimizing annual electricity costs to maximizing self-consumption. The results show that the profitability of shared use of nonsubsidized PV systems is marginal in Austria. This means that, based on individual apartment load profiles, the profitability gap ranges between 0 and 40 euros per apartment, whereas the consideration of the building as total load leads to a small cost-saving potential of about 90 euros for the whole building in the best case and thus profitability. In contrast, significant profitability of shared PV systems in multiapartment buildings can be achieved in Germany, where the renewable energy surcharge results in high retail electricity prices. At present, different business models, accounting and billing concepts, are being tested in these countries to learn about the best-practice concepts.

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Section: State Of the Artmentioning

confidence: 99%

Economic Assessment and Business Models of Rooftop Photovoltaic Systems in Multiapartment Buildings: Case Studies for Austria and Germany

Fina

Fleischhacker

Auer

et al. 2018

Journal of Renewable Energy

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“…In reference [8], a multi-level energy management system (EMS) is proposed for DC MG operations. Reference [9] studies the planning and operation of standalone DC MGs in rural and urban settings with detail comparisons of various cost components, electrical productions, energy management and emissions.…”

Section: Introductionmentioning

confidence: 99%

“…A non-dominated sorting genetic algorithm is implemented in reference [6] to solve the multi-objective optimal sizing problem with the goal of achieving a trade-off between the cost and the reliability of DC MG operations. Another group of works [7][8][9] focus on the operation of DC MGs. Reference [7] proposes three new operation strategies such that a set of DC MGs in distribution systems can cooperate on pursuing specified objectives: loss reduction, full unbalance compensation, and partial unbalance compensation.…”

Section: Introductionmentioning

confidence: 99%

Hybrid AC/DC Microgrid Planning with Optimal Placement of DC Feeders

et al. 2019

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With the significant increase in DC loads (such as data and telecommunication centers) at the power distribution level, an additional set of power electronic converters are required to connect these DC loads to the AC-dominant power network. Notably, hybrid AC/DC microgrids (MGs) serve as promising solutions to satisfying both the AC and DC loads with a reduced number of installed converters. Since DC loads may be randomly distributed in the MG, how to place DC feeders to simultaneously fulfill the economic and security requirements of MG operations remains a challenging problem. To address this issue, this paper proposes a hybrid AC/DC MG planning model to determine the optimal placement of DC feeders with the objective of minimizing the total cost of the investment of distributed energy resources (DERs), converters, and AC/DC distribution lines, as well as the operation of DERs. In particular, the power flow of the hybrid AC/DC MG is derived in a unified manner and then incorporated in the planning model. Eventually, the proposed model suffices to find the optimal number and siting for both DERs and DC feeders while ensuring the continuality of the DC feeders. The proposed model is tested in two MG-based distribution systems, and its effectiveness is validated by the results of numerical experiments.

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“…It was found that the proposed multi-objective PSO could be validated for multi variable EMS of a factory. The optimal power control strategy for a standalone microgrid was developed and presented in [20] where optimized gains of a proportional-integrator controller of inverter-based DGs using hybrid big bang-big crunch (BB-BC) algorithm were found.With the aim of adjusting microgrid generation to energy demand, numerous technical studies have been carried out to improve energy management with penetration of renewable energy sources combined with energy storage devices in microgrids [21][22][23][24][25]. Alvarez et al [26] conducted an optimization of micro sources in a DG microgrid in terms of emission and fuel consumption costs.…”

mentioning

confidence: 99%

“…With the aim of adjusting microgrid generation to energy demand, numerous technical studies have been carried out to improve energy management with penetration of renewable energy sources combined with energy storage devices in microgrids [21][22][23][24][25]. Alvarez et al [26] conducted an optimization of micro sources in a DG microgrid in terms of emission and fuel consumption costs.…”

mentioning

confidence: 99%

Efficient Energy Management in a Microgrid with Intermittent Renewable Energy and Storage Sources

2019

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Substituting a single large power grid into various manageable microgrids is the emerging form for maintaining power systems. A microgrid is usually comprised of small units of renewable energy sources, battery storage, combined heat and power (CHP) plants and most importantly, an energy management system (EMS). An EMS is responsible for the core functioning of a microgrid, which includes establishing continuous and reliable communication among all distributed generation (DG) units and ensuring well-coordinated activities. This research focuses on improving the performance of EMS. The problem at hand is the optimal scheduling of the generation units and battery storage in a microgrid. Therefore, EMS should ensure that the power is shared among different sources following an imposed scenario to meet the load requirements, while the operational costs of the microgrid are kept as low as possible. This problem is formulated as an optimization problem. To solve this problem, this research proposes an enhanced version of the most valuable player algorithm (MVPA) which is a new metaheuristic optimization algorithm, inspired by actual sporting events. The obtained results are compared with numerous well-known optimization algorithms to validate the efficiency of the proposed EMS.Sustainability 2019, 11, 3839 2 of 28 algorithms were used to optimize power sharing among active DGs. In order to determine the optimal component sizing in a microgrid, the mixed integer linear programming (MILP) method has been used to model the microgrid components with consideration of demand response [5]. In another study [6], similar sizing problems of microgrid components were solved using a genetic algorithm (GA) and the energy management issue was formulated using MILP. In addition to component sizing, system configuration was optimized in [7] using the multi-objective PSO by taking into account production cost, reliability, and environmental impact. The studied system comprised of a diesel generator, solar panels, wind turbines, and battery storage. Several methods have also been used for optimizing multi variable problems of energy management systems (EMS) in microgrids [8][9][10][11][12][13]. Wang et al. [14] investigated EMS of a microgrid with multi period optimization problems using an MPI based PSO algorithm and concluded that the proposed algorithm could be effectively used to improve the operation time.Four techniques were used in [15] to determine the optimized operational strategy for an entire day based on least operating cost and minimum carbon emissions. These techniques were a non-dominated sorting genetic algorithm (NSGA), multi-objective PSO, multi-objective uniform water cycle algorithm (WCA), and normal constraint algorithm. Reference [16] presented a real time EMS that had the tendency to optimally minimize carbon emissions and energy cost, and simultaneously maximized the power coming from renewable DGs using binary PSO. An improved binary PSO with double-structure coding was applied to optimize a microgrid operatio...

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Planning and optimization of autonomous DC microgrids for rural and urban applications in India

Cited by 103 publications

References 42 publications

Economic Assessment and Business Models of Rooftop Photovoltaic Systems in Multiapartment Buildings: Case Studies for Austria and Germany

Economic Assessment and Business Models of Rooftop Photovoltaic Systems in Multiapartment Buildings: Case Studies for Austria and Germany

Hybrid AC/DC Microgrid Planning with Optimal Placement of DC Feeders

Efficient Energy Management in a Microgrid with Intermittent Renewable Energy and Storage Sources

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