Scheduling Distributed Energy Resource Operation and Daily Power Consumption for a Smart Building to Optimize Economic and Environmental Parameters

Pooranian, Zahra; Abawajy, Jemal; Vinod, P.; Conti, Mauro

doi:10.3390/en11061348

Cited by 44 publications

(26 citation statements)

References 37 publications

(52 reference statements)

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“…One would probably agree that in their essence, all energy efficiency measures promise to reduce energy consumption and save money on electricity bills, as well as reduce the negative environmental impact of electricity generation [9][10][11].…”

Section: Innovative Policies For Promoting Energy Efficiencymentioning

confidence: 99%

Innovative Policies for Energy Efficiency and the Use of Renewables in Households

Strielkowski¹,

Volkova

Pushkareva

et al. 2019

Energies

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Renewable energy sources (RES) are gradually becoming one of the key elements in the process of achieving energy efficiency worldwide. This trend can be observed in many developed Western economies—for example, in the United States, as well as in the United Kingdom. Hence, the role of innovative policies for promoting energy efficiency is becoming crucial in transition to the post-carbon economy. The shift to the carbon-free future make all actors to face forgoing commitments Nevertheless, customers and residential households are the first and the most important players in the pursuit of the energy-efficient future. Without them, carbon-free economy based on RES would never take the shape as envisaged. Our paper focuses on the innovative strategies and policies studying the effect and the scope of RES penetration into the households. We employ and empirical analysis of the effects from using RES in households using an example of the residential households in the northwest region of the United Kingdom (UK) with and without solar photovoltaic (PV) panels and electric vehicles (EV). We analyse the four scenarios that are aimed at analysing the system dynamics and providing differentiation between systems in terms of the varying values of the gross demand, tariffs, metered import, and the total revenue. Our results demonstrate that the solar PV leads to the transfer of costs and wealth regardless of the ownership of PV and EVs. Solar energy generation reduces the share of UK solar PV households per kWh costs of the distribution system which causes the augmenting of the per unit charges as well as to the changes in payments for the electricity that impoverishes less wealthy customer groups. It also becomes clear that with the increase of EV penetration, the existing energy efficiency schemes would have to be revised.

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Section: Innovative Policies For Promoting Energy Efficiencymentioning

confidence: 99%

Innovative Policies for Energy Efficiency and the Use of Renewables in Households

Strielkowski¹,

Volkova

Pushkareva

et al. 2019

Energies

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“…In [35], a multi-agent system (MAS) based distributed control approach for optimal resource management in an islanded microgrid is proposed. In [36], an optimization model for minimizing total daily energy cost is proposed. The electricity costs and CO 2 emissions are considered in this model.…”

Section: Literature Reviewmentioning

confidence: 99%

A Fully Distributed Approach for Economic Dispatch Problem of Smart Grid

Li¹,

Wang²,

Li³

et al. 2018

Energies

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The cooperative, reliable and responsive characteristics make smart grid more popular than traditional power grid. However, with the extensive employment of smart grid concepts, the traditional centralized control methods expose a lot of shortcomings, such as communication congestion, computing complexity in central management systems, and so on. The distributed control method with flexible characteristics can meet the timeliness and effectiveness of information management in smart grid and ensure the information collection timely and the power dispatch economically. This article presents a decentralized approach based on multi agent system (MAS) for solving data collection and economic dispatch problem of smart grid. First, considering the generators and loads are distributed on many nodes in the space, a flooding-based consensus algorithm is proposed to achieve generator and load information for each agent. Then, a suitable distributed algorithm called λ-consensus is used for solving the economic dispatch problem, eventually, all generators can automatically minimize the total cost in a collective sense. Simulation results in standard test cases are presented to demonstrate the effectiveness of the proposed control strategy.

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“…If power capacitors can be replaced and repaired before the occurrence of a fault, the operating cost during internal capacitor shutdown can be reduced greatly, thereby saving power cost from economic and environmental perspectives. (1) Therefore, the partial discharge diagnosis of power capacitors will be the key point of this study.…”

Section: Introductionmentioning

confidence: 99%

Application of Extension Neural Network Algorithm and Empirical Mode Decomposition Method to Partial Discharge Diagnosis of Power Capacitors

Wang¹,

Lu²,

Lin³

et al. 2019

Sensors and Materials

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Power capacitors are extensively used in power systems; thus, any internal capacitor fault can affect their safe operation. The most common faults include dampness, partial discharge, aging or insulation deterioration, and structural deterioration. The purpose of this study is to use a human-machine interface diagnosis system to detect the type of power capacitor fault, so as to determine the real-time status of the power capacitor. Partial discharge data are measured and diagnosed for the power capacitors that are functional and remaining in long-term highvoltage operation. The defects are handled before the capacitor is measured by a high-frequency current transformer (HFCT) sensor, and one power platform tester is used to measure partial discharge in the capacitor case. The voltage is increased until the partial discharge phenomenon stops, and the voltage and partial discharge signals are visualized by using a high-frequency oscillograph. Afterwards, the feature of the discharge signal is determined by the empirical mode decomposition (EMD) method, combined with the chaos synchronization detection analysis method to establish the chaotic error scatter map of the discharge voltage. Then, the chaos eyes are used as the features of fault diagnosis, and the extension neural network (ENN) algorithm is used for capacitor fault recognition. The advantages of this method are that the feature extraction data volume can be reduced, subtle changes in power capacitor discharge voltage signal can be detected effectively so as to detect the power capacitor's operating state, and emergency measures can be executed in advance to prevent severe disasters. The proposed method is validated by actual measurements. The detection rate of the ENN fault detection method is 95%, proving that this method is applicable to power capacitor partial discharge detection.

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Scheduling Distributed Energy Resource Operation and Daily Power Consumption for a Smart Building to Optimize Economic and Environmental Parameters

Cited by 44 publications

References 37 publications

Innovative Policies for Energy Efficiency and the Use of Renewables in Households

Innovative Policies for Energy Efficiency and the Use of Renewables in Households

A Fully Distributed Approach for Economic Dispatch Problem of Smart Grid

Application of Extension Neural Network Algorithm and Empirical Mode Decomposition Method to Partial Discharge Diagnosis of Power Capacitors

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