Dynamic Economic/Emission Dispatch Including PEVs for Peak Shaving and Valley Filling

Liang, Huijun; Liu, Yungang; Li, Fengzhong; Shen, Yanjun

doi:10.1109/tie.2018.2850030

Cited by 146 publications

(62 citation statements)

References 44 publications

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“…However, the strict European targets set for the reduction of greenhouse gas emissions, the required improvement of system's security and reliability, and the increasing share of intermittent renewable energy sources are calling for important changes in our energy systems. Beyond uncontested environmental benefits, in fact, the rollout of electric vehicles poses challenges to power systems, starting from the additional power demand for recharging their batteries, possibly overlapping with the system peak demand [3,4]. Power system operators, therefore, have to face a twofold challenge: managing the adequacy of the grid capacity and integrating electric vehicles into the power system, in a context of increasingly volatile supply due to a growing share of renewable energy sources.…”

Section: Introductionmentioning

confidence: 99%

Total Cost of Ownership of electric vehicles using energy from a renewable-based microgrid

Pavan

Lughi

Scorrano

2019

2019 IEEE Milan PowerTech

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This work aims at analyzing the integration between electric mobility and renewable energy sources studying the case of the grid-connected microgrid under construction at the University of Trieste, Italy. A general model able to estimate the charging price and the resulting total cost of ownership per kilometer considering the match between the demand and the production of a photovoltaic generator is presented. The result is that the electric vehicle is mainly charged with the produced renewable energy (72%) and that the 60% of it flows through the storage unit. The study also presents a sensitivity analysis to show how the battery size and cost, together with the travelled distance, influence the charging price and the total cost of ownership per kilometer. Considering the current Italian prices and subsidies, results show that the use of an electric car is today feasible from both an environmental and an economic point of view.

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Section: Introductionmentioning

confidence: 99%

Total Cost of Ownership of electric vehicles using energy from a renewable-based microgrid

Pavan

Lughi

Scorrano

2019

2019 IEEE Milan PowerTech

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“…Initially, the normal distributions which the mean value is 0.5 and standard deviation value is 0.1, is employed to generate F and CR, respectively; the size of external archive Nc is 50; the value of vertical crossover operator P v is set as 0.8 [46]. The number of PEVs sets as 40,000 [52]. All the PEVs are needed to fully charge before 7:00 am and the control center [31,37,52] would control charging/discharging behaviors of PEVs.…”

Section: Simulation and Analysismentioning

confidence: 99%

“…The number of PEVs sets as 40,000 [52]. All the PEVs are needed to fully charge before 7:00 am and the control center [31,37,52] would control charging/discharging behaviors of PEVs. The charging efficiency ξ c is 0.8 and the discharging ξ D efficiency also is 0.8; S min is 20% and S max is 90%.…”

Section: Simulation and Analysismentioning

confidence: 99%

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A Hybrid Multi-Objective Crisscross Optimization for Dynamic Economic/Emission Dispatch Considering Plug-In Electric Vehicles Penetration

Mei

Zhang

et al. 2019

Energies

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Due to the significant uncertainty of charging time and charging power consumption, the large increase in plug-in electric vehicles (PEVs) may create a major influences on the power system: According to people’s living habits, PEVs are basically charged during peak load periods (after work). Once PEVs continue the random charging behavior, there will be a higher difference of peak-valley and bigger burden on the grid. A new strategy is put forward for dynamic economic/emission dispatch (DEED) with the consideration of PEVs for the purpose to shave the peak and fill the valley in this paper, and the influences brought from different loads of grid-to-vehicle (G2V) and vehicle-to-grid (V2G) on DEED problem are discussed. The problem to be solved is a challenging multi-objective non-linear problem. By taking advantage of the differential evolution (DE) algorithms and a newly developed crisscross optimization algorithm, a new multi-objective hybrid optimization algorithm is put forward to deal with the problem including effectively dealing with the inequality and equality constraints. A case study is presented to show the feasibility and effectiveness of the put forward method. The analysis results demonstrate that the put forward algorithm could effectively solve DEED problem, showing that the resulting approach of peak shaving and valley filling could significantly save economic costs and reduce emissions under the same load.

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“…The drastic variation in load side during a day poses huge challenges to maintain the supply-demand balance. The variation comes from many factors, such as user behaviors, plug-in electric vehicles, and renewable energy resources [1,2]. The peak-valley characteristics require subsequent adjustment of power output from a generator set, which brings high cost.…”

Section: Introductionmentioning

confidence: 99%

Location and Capacity Optimization of Distributed Energy Storage System in Peak-Shaving

et al. 2020

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The peak-valley characteristic of electrical load brings high cost in power supply coming from the adjustment of generation to maintain the balance between production and demand. Distributed energy storage system (DESS) technology can deal with the challenge very well. However, the number of devices for DESS is much larger than central energy storage system (CESS), which brings challenges for solving the problem of location selection and capacity allocation with large scale. We formulate the charging/discharging model of DESS and economic analysis. Then, we propose a simulation optimization method to determine the locations to equip with DESSs and the storage capacity of each location. The greedy algorithm with Monte Carlo simulation is applied to solve the location and capacity optimization problem of DESS over a large scale. Compared with the global optimal genetic algorithm, the case study conducted on the load data of a district in Beijing validates the efficiency and superiority of our method.

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Dynamic Economic/Emission Dispatch Including PEVs for Peak Shaving and Valley Filling

Cited by 146 publications

References 44 publications

Total Cost of Ownership of electric vehicles using energy from a renewable-based microgrid

Total Cost of Ownership of electric vehicles using energy from a renewable-based microgrid

A Hybrid Multi-Objective Crisscross Optimization for Dynamic Economic/Emission Dispatch Considering Plug-In Electric Vehicles Penetration

Location and Capacity Optimization of Distributed Energy Storage System in Peak-Shaving

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