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Incorporating Parking Lot and Demand Response in Energy Procurement of a Commercial Complex as a Smart Large Consumer

机译:将停车场和需求响应纳入作为智能大消费者的商业综合体的能源采购中

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Kourosh commercial complex like other large commercial and industrial loads known as large energy consumers. This large energy consumers always seeking to reduce their energy costs. In near future in our country like most of the developed countries large consumers will utilize renewable and non-renewable energy sources in providing their required energy. In addition, commercial malls always have accessibility to large parking lots which in near future will full of electric vehicles. Use of renewable energy sources (RESs) and plug-in electric vehicles (PREVs) parking lot requires proper technical and economic planning for the owners of the large consumers. This study provides a model for energy management of a smart large consumer (SLC) like Kourosh commercial complex, concluding PREVs parking lot, RESs (photovoltaic (PV), wind turbines (WT)) and nonrenewable sources (fuel cell (FC), micro-turbine (MT)). In this study, an optimal exploitation for the PREVs parking is proposed, which has the potential of being utilized as an energy generation source with the goal of reducing operational costs of SLC. In addition, this study considers the demand response (DR) program as an energy source and reducing the costs. The purpose of objective function is decreasing the operation cost of SLC to the minimum amount while considering physical and technical constraints of the sources. The proposed model is considered both DR programs and PREVs parking lot, and the results of the simulation illustrated the positive impact of the demand response program (DRP) and parking lot in reducing operation costs.
机译:像其他大型商业和工业负载一样,Kourosh商业综合体也被称为大型能源消费者。如此庞大的能源消耗者一直在寻求降低其能源成本。像大多数发达国家一样,在不久的将来,我们国家的大型消费者将利用可再生和不可再生能源来提供所需的能源。此外,商业购物中心总是可以使用大型停车场,在不久的将来这将充满电动汽车。使用可再生能源(RES)和插电式电动汽车(PREV)停车场需要为大型消费者的业主制定适当的技术和经济计划。这项研究为智慧大型消费者(SLC)(例如Kourosh商业大楼)的能源管理提供了模型,其中包括PREV停车场,RES(光伏(PV),风力涡轮机(WT))和不可再生能源(燃料电池(FC),微型-涡轮(MT))。在这项研究中,提出了对PREVs停车位的最佳开发方法,它有可能被用作能源产生源,目的是降低SLC的运营成本。此外,本研究还考虑了需求响应(DR)计划作为能源来源并降低了成本。目标函数的目的是在考虑到源头的物理和技术约束的同时,将SLC的运营成本降低到最小。所提出的模型既考虑了DR程序又考虑了PREVs停车场,并且仿真结果说明了需求响应程序(DRP)和停车场对降低运营成本的积极影响。

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