A multi-objective approach to integrate solar and wind energy sources with electrical distribution network

Kayal, Partha; Chanda, Chandan Kumar

doi:10.1016/j.solener.2014.12.012

Cited by 29 publications

(13 citation statements)

References 27 publications

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“…Newton-Raphson (NR) load flows are prominently employed in interconnected nature (structure) SDNs, as shown in [125,129,150]. Sensitivity analysis methods have also been employed in [127,128,158]; for potential initial solutions.…”

Section: A Analytical Methodsmentioning

confidence: 99%

“…The prominent meta-heuristic techniques addressed in the literature (Table 3) include: genetic algorithm (GA) and associated evolutionary algorithms with various variants as in [122,128,131,137,139,143,147,152,155,157,162,165,166]. Also, PSO with various variants have addressed SDN planning problems as in [125,127,130,132,138,158,163]. Furthermore, an improved variant of the teaching learning algorithm (ITLBO) [133] and bacterial foraging algorithm (MBFO) [134] have been employed for short term MO planning (scheduling) problems, respectively.…”

Section: B Numerical Methodsmentioning

confidence: 99%

“…The analytical hierarchy process (AH and short term SDN planning, as in [124,154]. Fuzzy decisio popular DM methods and employed in many studies, mainly uncertain nature and various scenarios of the concerned p problems has been employed in literature with various va [86,125,128,133,135,137,141]. Other multi-criteria decision anal include the min-max approach [123,126,134,138,160]; rank orde in [141], respectively.…”

Section: Analysis Of Potential Methods In Mop Formulationsmentioning

confidence: 99%

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Smart Distribution Networks: A Review of Modern Distribution Concepts from a Planning Perspective

et al. 2017

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Smart grids (SGs), as an emerging grid modernization concept, is spreading across diverse research areas for revolutionizing power systems. SGs realize new key concepts with intelligent technologies, maximizing achieved objectives and addressing critical issues that are limited in conventional grids. The SG modernization is more noticeable at the distribution grid level. Thus, the transformation of the traditional distribution network (DN) into an intelligent one, is a vital dimension of SG research. Since future DNs are expected to be interconnected in nature and operation, hence traditional planning methods and tools may no longer be applicable. In this paper, the smart distribution network (SDN) concept under the SG paradigm, has presented and reviewed from the planning perspective. Also, developments in the SDN planning process have been surveyed on the basis of SG package (SGP). The package presents a SDN planning foundation via major SG-enabling technologies (SGTF), anticipated functionalities (SGAF), new consumption models (MDC) as potential SDN candidates, associated policies and pilot projects and multi-objective planning (MOP) as a real-world optimization problem. In addition, the need for an aggregated SDN planning model has also been highlighted. The paper discusses recent notable related works, implementation activities, various issues/challenges and potential future research directions; all aiming at SDN planning.

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Section: A Analytical Methodsmentioning

confidence: 99%

Section: B Numerical Methodsmentioning

confidence: 99%

Section: Analysis Of Potential Methods In Mop Formulationsmentioning

confidence: 99%

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Smart Distribution Networks: A Review of Modern Distribution Concepts from a Planning Perspective

et al. 2017

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“…Wind and solar energy systems are taking the biggest share from this trend [5], so photovoltaic (PV) and wind turbine (WT) power generations, as clean electric power supplies, play an important role among renewable power generators. To increase energy reliability, WT and PV systems are used together in isolated networks [6,7]. Storage energy system plays an important role in establishing a balance between production and consumption in isolated networks.…”

Section: Introductionmentioning

confidence: 99%

“…Storage energy system plays an important role in establishing a balance between production and consumption in isolated networks. Among storage systems, battery and fuel cells (FC) store energy during a long time, whereas super-conductor and ultra-capacitor (UC) do it in a short time [6]. The energy storage systems discussed in this paper are UCs which significantly offer better performance especially during acceleration and braking manner due to charge time and discharge time of UCs can change broadly [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Optimized Fuzzy-Cuckoo Controller for Active Power Control of Battery Energy Storage System, Photovoltaic, Fuel Cell and Wind Turbine in an Isolated Micro-Grid

2017

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This paper presents a new control strategy for isolated micro-grids including wind turbines (WT), fuel cells (FC), photo-voltaic (PV) and battery energy storage systems (BESS). FC have been used in parallel with BESSs in order to increase their lifetime and efficiency. The changes in some parameters such as wind speed, sunlight, and consumption, lead to improper performance of droop. To overcome this challenge, a new intelligent method using a combination of fuzzy controller and cuckoo optimization algorithm (COA) techniques for active power controllers in isolated networks is proposed. In this paper, COA is compared with genetic algorithm (GA) and particles swarm optimization algorithm (PSO). In order to show efficiency of the proposed controller, this optimal controller has been compared with droop, optimized droop, and conventional fuzzy methods, the dynamic analysis of the island is implemented to assess the behavior of isolated generations accurately and simulation results are reported.

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Impact of optimal integration of renewable energy sources and electric vehicles in practical distribution feeder with uncertain load demand

Dixit

2020

Int Trans Electr Energ Syst

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Distributed energy resources (DERs) are a better option for fulfillment of load demand near the load centers. Optimal location and rating of DERs plays a vital role in the enhancement of distribution system performance in terms of power loss reduction, voltage profile enhancement, environmental friendliness, increasing reliability, and postponement of system upgrading. This paper addresses the Gbest-guided artificial bee colony (GABC) optimization technique for the optimal integration of renewable energy sources (RESs) and electric vehicles (EVs) in distribution feeder to improve the power loss reduction, voltage level, cost reduction, and emissions reduction under load demand uncertainty. In this work, mathematical models of RESs, that is, wind turbine generation system (WTGS) and photovoltaic generation system (PVGS), are employed to determine the generated output power. The foremost aim of this research work is simultaneous abatement of total active power loss, entire cost, and emissions generation; therefore a multiobjective-based fitness function is formed. Moreover, the impact of charging/discharging behavior of EVs on the distribution grid has also been considered in this study. The proposed methodology is applied on two test systems: (a) 28-bus practical rural distribution network located at Kakdwip zone in the province of West Bengal, India, and (b) standard 69-bus distribution feeders. Finally, from the achieved numerical outcomes, it is analyzed that, GABC algorithm generates better outcomes as compared to other optimization techniques. This indicates the viability and effectiveness of the proposed methodology.

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A multi-objective approach to integrate solar and wind energy sources with electrical distribution network

Cited by 29 publications

References 27 publications

Smart Distribution Networks: A Review of Modern Distribution Concepts from a Planning Perspective

Smart Distribution Networks: A Review of Modern Distribution Concepts from a Planning Perspective

Optimized Fuzzy-Cuckoo Controller for Active Power Control of Battery Energy Storage System, Photovoltaic, Fuel Cell and Wind Turbine in an Isolated Micro-Grid

Impact of optimal integration of renewable energy sources and electric vehicles in practical distribution feeder with uncertain load demand

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