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首页> 外文期刊>Advances in Science, Technology and Engineering Systems >Evaluation of the Effects of Bidding Strategy with Customized Pricing on the Individual Prosumer in a Local Energy Market
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Evaluation of the Effects of Bidding Strategy with Customized Pricing on the Individual Prosumer in a Local Energy Market

机译：定制定价的竞价策略对本地能源市场中个人生产者的影响评估

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Peer-to-peer (P2P) energy trading is a mechanism that allows people to share locally the energy they have generated from distributed renewable resources (DER), to generate profit form the unused resources and to reduce the cost for electricity for the household and in the community itself. This calls for the design of new energy markets, accompanied with the development of comprehensive exchange strategies, which reflect both the consumer?s preferences and the heterogeneity of the renewable sources. The paper presents a study of the behavior patterns of individual prosumers using bidding strategies based on the State-of-Charge of the battery and two different pricing algorithm, one with fixed prices and one based on the battery price of each standalone system as well as the effect such patterns have on a local energy market with solar panels, fuels cells and batteries. The evaluation is achieved by the use of a prototype based on the Open Energy Systems (OES), a community in Okinawa, Japan, made of 19 interconnected houses with residential storage, photovoltaic cells and AC grid connection. In order to simulate heterogeneity, a fuel cell, modeled after Ene-Farm, is added to the original configuration. Each house has a power flow management system, which uses a priority-based algorithm to maintain demand-response efficiency, capable of scheduling the operating hours of the available fuels cells. The energy market is based on Zaraba, a continuous double auction algorithm used by the Japanese Stock Exchange, in which prosumer can bid for a desired amount and price of electricity for a 30-minutes time slot in the future The preliminary numerical evaluation is based on the results from several simulations using different versions of the bidding agent.
机译：点对点（P2P）能源交易是一种机制，使人们可以在本地共享他们从分布式可再生资源（DER）中产生的能源，从未使用的资源中产生利润，并降低家庭和家庭的用电成本。在社区本身。这就要求设计新能源市场，并制定全面的交换策略，既要反映消费者的喜好，也要反映出可再生能源的异质性。本文使用基于电池充电状态和两种不同定价算法的出价策略，对个体生产者的行为模式进行了研究，一种定价固定，一种基于每个独立系统的电池价格以及这种模式对太阳能电池板，燃料电池和电池对当地能源市场的影响。该评估是通过使用基于开放式能源系统（OES）的原型进行的，该原型是位于日本冲绳的一个社区，该社区由19栋相互连接的房屋组成，具有住宅存储，光伏电池和交流电网连接。为了模拟异质性，将以Ene-Farm为模型的燃料电池添加到原始配置中。每个房屋都有一个功率流管理系统，该系统使用基于优先级的算法来维持需求响应效率，从而能够调度可用燃料电池的运行时间。能源市场基于Zaraba（日本证券交易所使用的连续两次拍卖算法），在该算法中，准生产者可以在未来30分钟的时间段内竞标所需的电量和价格。初步的数值评估基于使用不同版本的出价代理进行的几次模拟得出的结果。

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