A Charging Strategy for PV-Based Battery Switch Stations Considering Service Availability and Self-Consumption of PV Energy

Liu, Nian; Chen, Qifang; Lu, Xihong; Liu, Jie; Zhang, Jianhua

doi:10.1109/tie.2015.2404316

Cited by 207 publications

(66 citation statements)

References 23 publications

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“…For better depicting the power flow directions of system devices, the MC and LC are omitted in this figure but will be mentioned in the Case Study Section. Currently, we utilize an AC microgrid to organize wind turbine and BESS and we will design a DC microgrid where small wind turbines and BESSs have parallel connection [25] in future work to improve energy efficiency.…”

Section: Milp-based Rolling Horizon Optimization Modelmentioning

confidence: 99%

Optimal air-conditioning load control in distribution network with intermittent renewables

Wang

Meng

Gao

et al. 2016

J. Mod. Power Syst. Clean Energy

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The coordinated operation of controllable loads, such as air-conditioning load, and distributed generation sources in a smart grid environment has drawn significant attention in recent years. To improve the wind power utilization level in the distribution network and minimize the total system operation costs, this paper proposes a MILP (mixed integer linear programming) based approach to schedule the interruptible air-conditioning loads. In order to mitigate the uncertainties of the stochastic variables including wind power generation, ambient temperature change, and electricity retail price, the rolling horizon optimization (RHO) strategy is employed to continuously update the real-time information and proceed the control window. Moreover, to ensure the thermal comfort of customers, a novel two-parameter thermal model is introduced to calculate the indoor temperature variation more precisely. Simulations on a five node radial distribution network validate the efficiency of the proposed method.

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Section: Milp-based Rolling Horizon Optimization Modelmentioning

confidence: 99%

Optimal air-conditioning load control in distribution network with intermittent renewables

Wang

Meng

Gao

et al. 2016

J. Mod. Power Syst. Clean Energy

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“…Recently, the constant power charging mode has also become popular in charging EV batteries [23]. Therefore, in order to provide better support for grid, the constant power charging mode is adopted in this paper.…”

Section: Model Formulation For Sizing and Locating Of Bssmentioning

confidence: 99%

A New Method to Plan the Capacity and Location of Battery Swapping Station for Electric Vehicle Considering Demand Side Management

Liu

Niu

et al. 2016

Sustainability

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Compared to electric vehicle (EV) charging mode, battery swapping mode can realize concentrated and orderly charging. Therefore battery swapping stations (BSS) can participate in the demand side management (DSM) as an integrated form. In this context, a new method to plan the capacity and location of BSS for EV, considering DSM, is proposed in this paper. Firstly, based on the original charging power of BSS with the rule of "First-In First-Out", a bi-level optimal configuration model of BSS, in which net profit of BSS is maximized in the upper model and operating cost of Distribution Company is minimized in the lower model, is developed to decide the rated power, number of batteries, contract pricing and dispatched power of BSS for DSM. Then, the optimal locating model of BSS with the objective of minimizing network loss is built. A mesh adaptive direct search algorithm with YALMIP toolbox is applied to optimize the bi-level model. Simulation calculation was carried on IEEE-33 nodes distribution system and the results show that participating in DSM can improve the economic benefits of both BSS and distribution network and promote the consumption of distributed generation, verifying the feasibility and effectiveness of the proposed method.

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“…Optimal strategies and schedules for BSS operation have been wide reported in literatures [7][8][9][10][11]. A charging strategy considering service availability and selfconsumption of PV energy is proposed in [7], which proves the performance of PV-based BSS is better for both economic and environment.…”

Section: Introductionmentioning

confidence: 99%

Configuration and operation combined optimization for EV battery swapping station considering PV consumption bundling

Cheng

Zhang

2017

Prot Control Mod Power Syst

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Integration of electric vehicles (EVs), demand response and renewable energy will bring multiple opportunities for low carbon power system. A promising integration will be EV battery swapping station (BSS) bundled with PV (photovoltaic) power. Optimizing the configuration and operation of BSS is the key problem to maximize benefit of this integration. The main objective of this paper is to solve infrastructure configuration of BSS. The principle challenge of such an objective is to enhance the swapping ability and save corresponding investment and operation cost under uncertainties of PV generation and swapping demand. Consequently this paper mainly concentrates on combining operation optimization with optimal investment strategies for BSS considering multiscenarios PV power generation and swapping demand. A stochastic programming model is developed by using state flow method to express different states of batteries and its objective is to maximize the station's net profit. The model is formulated as a mixed-integer linear program to guarantee the efficiency and stability of the optimization. Case studies validate the effectiveness of the proposed approach and demonstrate that ignoring the uncertainties of PV generation and swapping demand may lead to an inappropriate batteries, chargers and swapping robots configuration for BSS.

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A Charging Strategy for PV-Based Battery Switch Stations Considering Service Availability and Self-Consumption of PV Energy

Cited by 207 publications

References 23 publications

Optimal air-conditioning load control in distribution network with intermittent renewables

Optimal air-conditioning load control in distribution network with intermittent renewables

A New Method to Plan the Capacity and Location of Battery Swapping Station for Electric Vehicle Considering Demand Side Management

Configuration and operation combined optimization for EV battery swapping station considering PV consumption bundling

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