Optimal operation of microgrid using hybrid differential evolution and harmony search algorithm

Reddy, S. Surender; Park, Jae Young; Jung, Chan Mook

doi:10.1007/s11708-016-0414-x

Cited by 74 publications

(20 citation statements)

References 20 publications

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“…offering V2G services more than offsets the purchase price of the vehicle. Another assessment in Denmark estimated that V2G would result in yearly energy cost savings per household of 8% to 20%; [71] yet another simulation calculated a 7% reduction in cost due to V2G in terms of annual travel expenditures [72]. In the United Kingdom, a pool of 30 V2G EVs at a science park was projected to create an estimated yearly savings of around £3500, including infrastructure costs [73].…”

Section: Financing and Business Modelsmentioning

confidence: 99%

The neglected social dimensions to a vehicle-to-grid (V2G) transition: a critical and systematic review

Sovacool

Noel

Axsen

et al. 2018

Environ. Res. Lett.

172

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Vehicle-to-grid (V2G) refers to efforts to bi-directionally link the electric power system and the transportation system in ways that can improve the sustainability and security of both. A transition to V2G could enable vehicles to simultaneously improve the efficiency (and profitability) of electricity grids, reduce greenhouse gas emissions for transport, accommodate low-carbon sources of energy, and reap cost savings for owners, drivers, and other users. To understand the recent state of this field of research, here we conduct a systematic review of 197 peer-reviewed articles published on V2G from 2015 to early 2017. We find that the majority of V2G studies in that time period focus on technical aspects of V2G, notably renewable energy storage, batteries, or load balancing to minimize electricity costs, in some cases including environmental goals as constraints. A much lower proportion of studies focus on the importance of assessing environmental and climate attributes of a V2G transition, or on the role of consumer acceptance and knowledge of V2G systems. Further, there is need for exploratory work on natural resource use and externalities, discourses and narratives as well as social justice, gender, and urban resilience considerations. These research gaps need to be addressed if V2G is to achieve the societal transition its advocates seek.

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Section: Financing and Business Modelsmentioning

confidence: 99%

The neglected social dimensions to a vehicle-to-grid (V2G) transition: a critical and systematic review

Sovacool

Noel

Axsen

et al. 2018

Environ. Res. Lett.

172

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“…In the business world, this solution is determined by making a balance between both the cost of the alternative and the benefits obtained with it. In the case of microgrids (MGs), the goal is always to minimize the cost of operation while the services for customers are maintained in proper conditions [1].…”

Section: Introductionmentioning

confidence: 99%

Impact of Energy Storage Useful Life on Intelligent Microgrid Scheduling

2020

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Planning the operation scheduling with optimization heuristic algorithms allows microgrids to have a convenient tool. The developments done in this study attain this scheduling taking into account the impact of energy storage useful life in the microgrid operation. The scheduling solutions, proposed for the answer of an optimization problem, are obtained by using a metaheuristic algorithm called Differential Evolutionary Particle Swarm Optimization (DEEPSO). Thanks to the optimization that is conducted in this study, it is possible to formulate dispatches of the existent microgrid (MG) by always looking for the ideal dispatch that implies a lower cost and provides a greater viability to any project related to renewable energy, electric vehicles and energy storage. These advances oblige the battery manufacturers to start looking for more powerful batteries, with lower costs and longer useful life. In this way, this paper proposes a scheduling tool considering the energy storage useful life.

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“…Consequently, if new additional loads, like EVs are not managed in a smarter way, it will result in mismatch of demand and supply and ultimately load shedding which will hamper the reliability of system. A hybrid harmony search and differential evolution is reported in Surender et al to study generation scheduling of an MG comprising EV‐battery‐PV‐WT and conventional generator. The author concluded that stability of MG increases when battery and EVs are present in MG.…”

Section: Introductionmentioning

confidence: 99%

Impact assessment of electric vehicle charging/discharging strategies on the operation management of grid accessible and remote microgrids

et al. 2019

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This article deals with impact analysis of different electric vehicle (EV) charging/discharging strategies (CDS) on the operation and pollutant treatment cost of both grid accessible and remote microgrid (MG) modes. In this regard, EV demand is developed under four different scenarios, namely, uncoordinated charging model (UCM), load leveling model (LLM), maximum renewable model (MRM), and charging discharging model (CDM). A comprehensive study is performed to see the effect of these different EV charging/discharging behaviors in optimizing MG's operation. A 2m scheme of Hong's point estimate method (PEM) is applied to examine the effect of uncertainties linked with the forecasted errors in load demand, solar energy, wind energy, and grid price respectively on MG operation problem. Finally, a sensitivity analysis is performed to investigate the effect of variations in battery parameters on economics of remote MG. The study results indicate that controlled charging of EVs can substantially improve operation of MG. KEYWORDS distributed generators, electric vehicle, microgrid, point estimate methodNomenclature: L avg , average load; L base , base load of MG (without EV); BC b , battery capacity; BC EV,n , battery capacity of EV n; η bc , battery charging efficiency; P bc , battery charging power; η bd , battery discharging efficiency; P bd , battery discharging power; SOC b , battery SOC; v, binary variable, 1 when battery is charging; w, binary variable, 1 when battery is discharging; cf, capacity factor; t cd,n , charging duration of EV n; η EVc,n , charging efficiency of EV n; P EVc,n , charging power of EV n; C grid , cost of power integration between main grid and MG; C DC,i , depreciation cost of DG i; ADCC i , depreciation cost per kwh of DG i; T EVde,n , discharging end time of EV n; T EVds,n , discharging start time of EV n; d n , distance travelled by an EV n; EP GRID , electricity price of grid; e 100,n , energy consumption per 100 km of EV n; k fc,i , fuel consumption coefficient of DG i; C fuel,i , fuel cost of DG i; Incost i , installation cost per capacity of DG i; d, interest rate; l i , lifetime of DG i; P LC , load curtailed; C LC , load curtailment cost; μ LC , load curtailment cost; r down,i , lower ramp rate limit of DG i; SOC b,max , maximum battery SOC; P bc,max , maximum charging limit of battery; P EVcmax,n , maximum charging rate of EV n; P bd,max , maximum discharging limit of battery; P EVdmax,n , maximum discharging power of EV n; T EVddmax,n , maximum duration for which EV n can discharge; P grid,max , maximum power MG can take from main grid under contractual scheme; P i,max , maximum power of DG i; SOC EVmax,n , maximum SOC of battery of EV n; SOC b,min , minimum battery SOC; P i,min , minimum power of DG i; SOC EVmin,n , minimum SOC of battery of EV n; N DG , number of DGs in MG; k OM,i , operation and maintenance coefficient of DG i; C OM,i , operation and maintenance cost of DG i; P PV , output power from PV; P WT , output power from WT; P i , output power of DG i; P grid , output ...

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Optimal operation of microgrid using hybrid differential evolution and harmony search algorithm

Cited by 74 publications

References 20 publications

The neglected social dimensions to a vehicle-to-grid (V2G) transition: a critical and systematic review

The neglected social dimensions to a vehicle-to-grid (V2G) transition: a critical and systematic review

Impact of Energy Storage Useful Life on Intelligent Microgrid Scheduling

Impact assessment of electric vehicle charging/discharging strategies on the operation management of grid accessible and remote microgrids

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