期刊
ENERGY
卷 208, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2020.118323
关键词
Community energy storage; Demand response; Economical operation; Multi-energy system; Smart neighborhood
资金
- Scientific and Technological Research Council of Turkey (TUBITAK) [116E115]
This study covers a decision-making model in which a multi-energy system (MES) including heat pumps (HPs), combined heat and power (CHP), community energy storage (CES), air conditioners (ACs), and renewable energy sources (RESs) meets the electrical, cooling and heating demands of end-users in a smart neighborhood (SN). The thermostat set point control mechanism (TSCM) and direct compressor control mechanism (DCCM) based thermostatically controllable loads oriented demand response (DR) approaches are also considered in order to increase the effectiveness and economy of the MES operation. The SN, including houses with different types of residential end-users, has flexible and inelastic electricity, heating, and cooling power demands. CHPs, HPs, and ACs are operated optimally to keep the room temperatures between desired temperature limits; furthermore, some end-users have electric vehicles (EVs) assumed as flexible loads. Due to the intermittent nature of RESs, stochastic modeling is used to cope with uncertainties in their production pattern. In addition, time-of-use (TOU) electricity prices and real gas price data are used to handle the test system more realistically. Various comparative case studies have been conducted to prove the effectiveness of the proposed model. According to the obtained results, it can be stated that the DR strategies provide better results than the CES, and the most effective element in MES architecture is CHP for this study. Also, another striking finding is that the reduction in cost is experienced when RESs and EVs penetrate together. (C) 2020 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据