Predictive Control of buildings for Demand Response with dynamic day-ahead and real-time prices
Predictive Control of buildings for Demand Response with dynamic day-ahead and real-time prices
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通过动态日前价格和实时价格对建筑物进行需求响应预测控制
DOI：
10.23919/ecc.2013.6669762
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
G. Andersson
中科院分区：
文献类型：
--
作者：
E. Vrettos;K. Lai;F. Oldewurtel;G. Andersson
本文提出了一种模型预测控制(MPC)方案，用于在时变的电价环境中控制具有空间热/冷负荷、电热水器(EWH)、光伏(PV)和蓄电池的住宅建筑。控制器使用系统组件的模型以及对未来干扰的预测，如天气条件、入住率和电价，以找到在考虑用户舒适度限制的情况下，在预测范围内最大限度降低电力成本的建筑运行。建筑作业是在三种不同的价格情景下进行研究的：(1)终端客户的简单日夜电价；(2)反映批发市场边际成本的前一天动态电价；(3)实时动态电价。通过一个案例研究了住宅建筑对这类价格信号的响应，并对其需求响应(DR)计划的潜力进行了评估。
This paper proposes a Model Predictive Control (MPC) scheme to control residential buildings with space heating/cooling loads, an Electric Water Heater (EWH), photovoltaics (PV) and battery storage in a time-varying electricity price environment. The controller uses models for the system components as well as predictions for future disturbances such as weather conditions, occupancy and electricity prices to find the building operation that minimizes electricity costs over the prediction horizon while respecting user comfort constraints. The building operation is investigated under three different price scenarios: (1) a simple day-night tariff for end-customers, (2) a day-ahead dynamic tariff reflecting the wholesale market marginal costs and (3) a real-time dynamic tariff. Residential buildings response to such price signals is investigated in a case study and their potential for Demand Response (DR) programs is evaluated.