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Effectiveness Evaluation for a Commercialized PV-Assisted Charging Station

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Effectiveness Evaluation for a Commercialized PV-Assisted Charging Station sustainability Article Effectiveness Evaluation for a Commercialized PV-Assisted Charging Station Nian Liu * and Minyang Cheng State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China; [email protected] * Correspondence: [email protected]; Tel.: +86-10-8079-0940 Academic Editors: Jiawei Gong, Qiquan Qiao, Zhengping Zhou, Tingting Xu, Mao Liang and Wenfeng Zhang Received: 19 January 2017; Accepted: 17 February 2017; Published: 22 February 2017 Abstract: The Photovoltaic–assisted Charging Station (PVCS) is regarded as one of the most promising charging facilities for future electric vehicle (EV) energy supplementation. In this paper, the operation mode and profitability of a commercialized PVCS are analyzed under the energy policy of China. In order to evaluate the long-term effectiveness of using the PVCS to provide guidance for the investors of the stations, a set of evaluation indexes is introduced, including the quality of service, the environmental and economic benefits, and the impacts on the grid. Furthermore, an easily-achieved charging strategy which considers the quality of service and the self-consumption of PV energy is proposed. Finally, an effectiveness evaluation for different operational scenarios of the PVCS is completed, based on the actual statistical data. The simulation and evaluation results indicate that the PVCS has the potential to produce satisfactory environmental/economic benefits and to reduce the impacts and dependence of an EV’s charging load on the grid. Keywords: electric vehicle; PV system; effectiveness evaluation; operation mode; charging strategy 1. Introduction Developing renewable energy resources and electric vehicles (EVs) has been seen as an effective way to reduce carbon emissions and ensure energy security [1–3]. However, EVs need to be connected to the electric power grid for charging and there are still many barriers to be considered. Firstly, the indirect emissions of EVs are sensitive to the generation mix of a particular regional power system. If the power generation of the system is dominated by coal-fired power plants, the emission advantage of EVs is not obvious [4]. Secondly, more investment is required in order to expand the capacities of generation, transmission, and distribution, due to the increasing charging requirements of EVs [5,6]. As a kind of renewable and clean energy, PV power can be produced in any part of an urban area. For example, the PV panels can be installed on the rooftops of office buildings, working places, and apartments, etc., which are also considered as suitable places for charging stations, supported by enough parking lots. Thus, the utilization of a PV-assisted charging station is deemed to be a promising way to effectively improve the emission reduction of EVs, to meet the daytime charging demand, and to reduce the dependence on the power grid [7–9]. There have been several studies on PVCSs which mainly focus on capacity allocation and charging strategies. With respect to capacity allocation, a multi-objective capacity optimization method for the components of the PV-based battery switch station (BSS) is introduced in [10]. For an actual design of PV-based BSS, there are many optimal solutions which can be chosen, which can be divided into economy and environment preferred solutions. In order to minimize the investment, maintenance, and electricity cost of BSSs, an optimal model is formulated in [11], in which the extra waiting time (EWT) of EVs is taken as a constraint for the quality of service. For a PVCS configured with local energy storage, an optimal method for the battery-sizing of the energy storage is proposed in [12]. The Sustainability 2017, 9, 323; doi:10.3390/su9020323 www.mdpi.com/journal/sustainability Sustainability 2017, 9, 323 2 of 15 problem is formulated to minimize the cost function, based on the value of kWh price, solar irradiance, and the usage patterns of Plug-in Hybrid Electric Vehicles (PHEVs). Additionally, a model is presented in [13] to perform the optimal sizing of a non-grid-connected renewable energy system, integrated with battery switch stations. In this model, the objective function is to minimize the total cost, including the investment, operation, and shortage of electricity. The capacity planning frameworks for EV charging stations with multiclass customers are proposed in [14]. Different models are utilized to ensure grid reliability and lead to significant savings in the capacity planning of large and small networks, respectively. With respect to charging strategies, an EV charging method for smart homes/buildings with a PV system is proposed in [15]. This method consists of two steps: (1) a prediction of the PV output and electricity consumption; (2) the EV charging scheduling. In [16], an optimal charging strategy is proposed in order to verify the economic and environmental impacts of a PVCS. The method determines the total charging power of EVs in the parking garage, in order to optimize the power taken from the grid. The charging strategies of multiple PHEVs in PV-equipped apartment buildings and office buildings are discussed in [17,18]. Different charging strategies and charging power ratings are examined, which are assessed in terms of their influence on the grid, the self-consumption of local PV generation, and the driving range. A real-time energy management algorithm for a grid-connected charging park in an industrial or commercial workplace is developed in [19]. Statistical and forecasting models are used to model the various uncertainties, including the PV power, PHEVs’ arrival, departure time, and the available energy of the batteries. A heuristic operation strategy for the commercial building of a PVCS is proposed in [20]. The model of an EV feasible charging region, the mechanism of dynamical event triggering, and the algorithm of real-time power allocation for EVs, are all established to improve the self-consumption of PV energy and to reduce the impact on the power grid. In [21], an intelligent energy management approach for a PVCS with energy storage is proposed. The approach introduces PV energy forecasting and EV charging demand projection, in order to optimize the energy management of the charging station. A centralized EV charging strategy based on bi-level optimization is proposed in [22], with the objectives of simultaneously deriving benefits for the grid and EV users. The proposed strategy involves distributing the EV charging load more beneficially, across both spatial and temporal levels. A new type of EV charging facility that integrates the SST (solid-state transformer) into the PVCS, is introduced in [23]. Furthermore, a rule-based decision-making EMS is proposed, so that the SST-based PVCS can dynamically participate in the ancillary service of the smart grid, guaranteeing the quality of the charging service for EV users. Considering the uncertainty of an EV’s charging demand and the PV power output, an online energy management method leveraging both offline optimization and online learning is proposed in [24], to maximize the self-consumption of PV energy and to decide on the power supplied from the grid. In summary, the aforementioned research has mainly focused on the optimization of capacity allocation and charging strategies. The numerical simulations in these studies are only conducted during typical days, to verify the validity of their proposed methods. However, as a potential charging facility for EVs, the long-term effectiveness of the PVCS is an important issue to consider in relation to its commercialization process. However, few research has focused on a long-term effectiveness evaluation of PVCSs. The long-term evaluation of a PVCS with simple energy management is presented in [25], but this research only paid attention to the energy utilization, and this is obviously not broad enough for commercialized PVCSs. Therefore, the main contributions of this paper are as follows: (1) In order to evaluate the long-term effectiveness of the commercialized PVCS, a set of evaluation indexes are introduced, including the quality of service, economic benefits, environmental benefits, and impacts on the power grid. (2) Taking the self-consumption of PV energy and the quality of service into consideration, a charging strategy for an office building PVCS is proposed, which is easy to achieve and popularize. Sustainability 2017, 9, 323 3 of 15 Sustainability 2017, 9, 323 3 of 15 (3)(3) ConsideringConsidering the the potential potential development development of of EVs, EVs, the the long-term long-term effectiveness effectiveness of of the the PVCS PVCS is is evaluatedevaluated based based on actualactual statistics statistics data data and and scenario scenario analysis, analysis, presenting presenting the potential the potential to provide to providethe investors the investors of the PVCSs of the PVCSs with more with valuable more valuable guidance. guidance. TheThe paper paper is is organized organized as as follows. follows. Section Section 2 intr2 introducesoduces the the structure structure and and operation operation mode mode of the of commercializedthe commercialized PVCS PVCS located located at an at office an office building. building. In InSection Section 3, 3the, the indexes indexes of of an an effectiveness evaluationevaluation are are proposed. proposed. Section Section 44 providesprovides the the basic basic models models for for EVs and a PV system. Section 55 proposesproposes
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