Two-stage optimal scheduling of air conditioning resources with high photovoltaic penetrations

Wang, Dongxiao; Wu, Runji; Li, Xuecong; Lai, Chun Sing; Wu, Xueqing; Wei, Jinxiao; Xu, Yi; Wu, Wanli; Lai, Loi Lei

doi:10.1016/j.jclepro.2019.118407

Cited by 22 publications

(13 citation statements)

References 28 publications

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“…Energy and environment: Sustainable growth is created by technology and cities make better use of resources from electronic sensors that monitor leakages, as well as gamification and behavioral economics to support citizens to conduct considerate decisions on resource utilization [29]. Renewable energy including solar and wind will be important sources of energy generation [30][31][32]. Data analytics will be used to enhance energy and power system operation [33]; 2.…”

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confidence: 99%

A Review of Technical Standards for Smart Cities

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Smart cities employ technology and data to increase efficiencies, economic development, sustainability, and life quality for citizens in urban areas. Inevitably, clean technologies promote smart cities development including for energy, transportation and health. The smart city concept is ambitious and is being refined with standards. Standards are used to help with regulating how smart cities function and contributing to define a smart city. Smart cities must be officially recognized by national and international authorities and organizations in order to promote societal advancement. There are many research and review articles on smart cities. However, technical standards are seldom discussed in the current literature. This review firstly presents the study of smart city definitions and domain. The well-known smart city standards will be presented to better recognize the smart city concept. Well-defined standards allow meaningful comparisons among smart cities implementation. How smart city initiatives make a city smarter and improve the quality of life will be discussed for various countries. This review highlights that technical standards are important for smart cities implementation. This paper serves as a guide to the most recent developments of smart cities standards.

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A Review of Technical Standards for Smart Cities

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“…As the disadvantages of fossil fuel power generation become increasingly prominent, renewable energy generation is developing rapidly, especially photovoltaic (PV) generation [1][2][3]. The installed power capacity of renewable energy generation grew more than 200 GW, which is mostly PV generation in 2019 [4,5].…”

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Photovoltaic Output Power Estimation and Baseline Prediction Approach for a Residential Distribution Network with Behind-the-Meter Systems

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Considering that most of the photovoltaic (PV) data are behind-the-meter (BTM), there is a great challenge to implement effective demand response projects and make a precise customer baseline (CBL) prediction. To solve the problem, this paper proposes a data-driven PV output power estimation approach using only net load data, temperature data, and solar irradiation data. We first obtain the relationship between delta actual load and delta temperature by calculating the delta net load from matching the net load of irradiation for an approximate day with the least squares method. Then we match and make a difference of the net load with similar electricity consumption behavior to establish the relationship between delta PV output power and delta irradiation. Finally, we get the PV output power and implement PV-load decoupling by modifying the relationship between delta PV and delta irradiation. The case studies verify the effectiveness of the approach and it provides an important reference to perform PV-load decoupling and CBL prediction in a residential distribution network with BTM PV systems.

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“…In [20], the one-parameter model was adopted, but it ignored the effect of the house wall on the heat exchange process. In [22], a more accurate thermal model (two-parameter model) was formulated without considering the heat generation due to the activities of human and machine. Therefore, the heat generation parameter is added to the two-parameter model in this paper.…”

Section: A Air-conditioned Household Thermal Modelmentioning

confidence: 99%

Optimal Sizing of Battery Energy Storage System in Smart Microgrid with Air-conditioning Resources

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Lai

et al. 2020

2020 IEEE International Smart Cities Conference (ISC2)

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In the microgrid with high photovoltaic (PV) penetration, optimal sizing of battery energy storage system (BESS) has been a heated research topic in recent years. In the meanwhile, the high energy consumption of air-conditioned households is attracting more and more attention currently. In this paper, an optimal sizing method of BESS is developed for a smart microgrid with PV systems and air-conditioning resources. The proposed model is divided into two layers. In the first layer, the initial size of BESS is determined with consideration of photovoltaic output power and thermal buffering characteristics of air-conditioned households. In the second layer, the optimal size of BESS is proposed to minimize the system overall cost including BESS construction investment and microgrid system operation cost. The model is solved by differential evolutionary algorithm and iterative algorithms. Case studies demonstrate the effectiveness of the proposed method.

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Two-stage optimal scheduling of air conditioning resources with high photovoltaic penetrations

Cited by 22 publications

References 28 publications

A Review of Technical Standards for Smart Cities

A Review of Technical Standards for Smart Cities

Photovoltaic Output Power Estimation and Baseline Prediction Approach for a Residential Distribution Network with Behind-the-Meter Systems

Optimal Sizing of Battery Energy Storage System in Smart Microgrid with Air-conditioning Resources

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