Residential Microgrid Scheduling Based on Smart Meters Data and Temperature Dependent Thermal Load Modeling

Tasdighi, Mohammad; Ghasemi, Hassan; Rahimi-Kian, Ashkan

doi:10.1109/tsg.2013.2261829

Cited by 233 publications

(98 citation statements)

References 14 publications

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“…SL as a task will require a certain energy to be delivered over a specified time interval. As for SL, there are studies focused on optimizing the operation of SL with different objectives such as the minimum peak hourly load [24], the minimum system operating cost [25,26] and maximizing the customer's revenue for frequency regulation [27]. And the solving approaches of SL optimization are also developed, including integer linear programming (ILP) method [24], the glowworm swarm particles optimization algorithm [25], dynamic programming algorithm [26], etc.…”

Section: Modeling Of Interruptible Load and Shiftable Load Control Inmentioning

confidence: 99%

Integrated resources planning in microgrids considering interruptible loads and shiftable loads

Zhu

Zhou

Zhang

et al. 2018

J. Mod. Power Syst. Clean Energy

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Demand response has the potential to bring significant benefits to the optimal sizing of distributed generation (DG) resources for microgrids planning. This paper presents an integrated resources planning model considering the impact of interruptible loads (IL) and shiftable loads (SL) in microgrids, which simultaneously deals with supply side and demand side resources and minimizes the overall planning cost of the microgrid. The proposed model can be applied to offer a quantitative assessment how IL and SL can contribute to microgrid planning. The pure peak clipping model with IL and SL is also provided for comparisons. Moreover, sensitivity analysis of parameters in the model is performed. Numerical results confirm that the proposed model is an effective method for reducing the planning cost of microgrids. It was also found that the major contributing factors of IL and SL have great impact on the economic benefits of the proposed model in low-carbon economy environments.

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Section: Modeling Of Interruptible Load and Shiftable Load Control Inmentioning

confidence: 99%

Integrated resources planning in microgrids considering interruptible loads and shiftable loads

Zhu

Zhou

Zhang

et al. 2018

J. Mod. Power Syst. Clean Energy

View full text Add to dashboard Cite

show abstract

“…Suppose that the water storage tank is always full, and this means that the volume of injected cold water is always the same as the consumed hot water at each time interval. According to the temperature-dependent model of thermal loads, presented in [42], the mathematical model of hot water is expressed by Equation (14). Moreover, regarding flexible thermal load modeling, the acceptable temperature range is defined by Equation (15).…”

Section: Flexible Thermal Loadmentioning

confidence: 99%

A Residential Energy Hub Model with a Concentrating Solar Power Plant and Electric Vehicles

Wen

Liu

et al. 2017

Energies

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Abstract:Renewable energy generation and electric vehicles (EVs) have attracted much attention in the past decade due to increasingly serious environmental problems as well as less and less fossil energy reserves. Moreover, the forms of energy utilization are changing with the development of information technology and energy technology. The term "energy hub" has been introduced to represent an entity with the capability of energy production, conversion and storage. A residential quarter energy-hub-optimization model including a concentrating solar power (CSP) unit is proposed in this work, with solar energy and electricity as its inputs to supply thermal and electrical demands, and the operating objective is to minimize the involved operation costs. The optimization model is a mixed integer linear programming (MILP) problem. Demand side management (DSM) is next implemented by modeling shiftable electrical loads such as EVs and washers, as well as flexible thermal loads such as hot water. Finally, the developed optimization model is solved with the commercial CPLEX solver based on the YALMIP/MATLAB toolbox, and sample examples are provided for demonstrating the features of the proposed method.

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“…Among the abundant methods, the heuristic-based evolutionary algorithm like particle swarm optimization (PSO) [21], model predictive method [24], and commercial software CPLEX (Version 12.6.3.0, IBM, New York, USA, 2016) [25] and MOSEK(Version 7.1.0.63, ApS, Copenhagen, Denmark, 2016) [26] are some of the representative ones. Especially, IBM ILOG CPLEX ® Optimizer is used in this paper to solve the problem considering its strong capability.…”

Section: The Scheduling Problem Under Different Robust Levelsmentioning

confidence: 99%

A Robust Optimization Strategy for Domestic Electric Water Heater Load Scheduling under Uncertainties

et al. 2017

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Abstract:In this paper, a robust optimization strategy is developed to handle the uncertainties for domestic electric water heater load scheduling. At first, the uncertain parameters, including hot water demand and ambient temperature, are described as the intervals, and are further divided into different robust levels in order to control the degree of the conservatism. Based on this, traditional load scheduling problem is rebuilt by bringing the intervals and robust levels into the constraints, and are thus transformed into the equivalent deterministic optimization problem, which can be solved by existing tools. Simulation results demonstrate that the schedules obtained under different robust levels are of complete robustness. Furthermore, in order to offer users the most optimal robust level, the trade-off between the electricity bill and conservatism degree are also discussed.

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Residential Microgrid Scheduling Based on Smart Meters Data and Temperature Dependent Thermal Load Modeling

Cited by 233 publications

References 14 publications

Integrated resources planning in microgrids considering interruptible loads and shiftable loads

Integrated resources planning in microgrids considering interruptible loads and shiftable loads

A Residential Energy Hub Model with a Concentrating Solar Power Plant and Electric Vehicles

A Robust Optimization Strategy for Domestic Electric Water Heater Load Scheduling under Uncertainties

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