Peak Load Regulation and Cost Optimization for Microgrids by Installing a Heat Storage Tank and a Portable Energy System

Zhang, Hong; Zhang, Qian; Gong, Taorong; Sun, Hao; Su, Xin

doi:10.3390/app8040567

Cited by 9 publications

(7 citation statements)

References 31 publications

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“…As reported by [27], the output power of a wind turbine system (PW) is mainly constrained by actual wind speed (v), blade area (A), wind turbine system efficiency (ηW), and air density (ρ), and its mathematical expression can be represented as follows:…”

Section: Distributed Renewable Power Generation Systemmentioning

confidence: 99%

“…In addition, in order to reduce the LOLP rate, the LOLP max is set as 5%. Moreover, in order to extend the battery lifespan, the maximum discharge current coefficient of the battery β is assigned to 1, the nominal cycle efficiency of the battery system is set as 90% [27], SDR is set as 0.1%, and the nominal efficiency of the power conversion system is set as 99%. Finally, the energy efficiency of the diesel generators is 40% [37].…”

Section: Case Studymentioning

confidence: 99%

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Sizing Hybrid Energy Storage Systems for Distributed Power Systems under Multi-Time Scales

Liu

et al. 2018

Applied Sciences

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Abstract:With the rapid development of industry, more fossil energy is consumed to generate electricity, which increases carbon emissions and aggravates the burden of environmental protection. To reduce carbon emissions, traditional centralized power generation networks are transforming into distributed renewable generation systems. However, the deployment of distributed generation systems can affect power system economy and stability. In this paper, under different time scales, system economy, stability, carbon emissions, and renewable energy fluctuation are comprehensively considered to optimize battery and super-capacitor installation capacity for an off-grid power system. After that, based on the genetic algorithm, this paper shows the optimal system operation strategy under the condition of the theoretical best energy storage capacity. Finally, the theoretical best capacity is tested under different renewable energy volatility rates. The simulation results show that by properly sizing the storage system's capacity, although the average daily costs of the system can increase by 10%, the system's carbon emissions also reduce by 42%. Additionally, the system peak valley gap reduces by 23.3%, and the renewable energy output's fluctuation range and system loss of load probability are successfully limited in an allowable range. Lastly, it has less influence on the theoretical best energy storage capacity if the renewable energy volatility rate can be limited to within 10%.

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Section: Distributed Renewable Power Generation Systemmentioning

confidence: 99%

Section: Case Studymentioning

confidence: 99%

Sizing Hybrid Energy Storage Systems for Distributed Power Systems under Multi-Time Scales

Liu

et al. 2018

Applied Sciences

Self Cite

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“…So the current sign of the battery depends on the operating modes. There are three main states of a battery storage system, which are discharging, standby and charging states [11]. Applying the mesh law and taking into account the two operational modes (charging and discharging), we have the equation 11:…”

Section: Modeling the Boost Convertermentioning

confidence: 99%

Supervision of a PV system with storage connected to the power line and design of a battery protection system

et al. 2018

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This work presents the supervision strategy in an Arduino card PV generator with storage connected to the low voltage grid. The studied system is composed of a photovoltaic generator, a boost converter, a buck-boost converter and a singlephase inverter. The power of the PV module depends on atmospheric conditions. Batteries are often confronted with overload problems and underload. The objective of this article is to manage the charging and discharging of the batteries, taking into account their protection against overload and under load and supervise the system. For this, supervision algorithms implemented in Arduino developed. Simulation results under Matlab show that the Arduino board has ensured the protection of the batteries and system supervision.

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“…With the rapid development of clean energy technologies, how to improve the consumption rate of renewable energy has become a research hotspot of power system optimization. To enhance a network's peak load regulation capacity and improve system efficiency, an additional portable energy system and a heat storage tank were introduced in [15] to optimize the operation of a distributed network. This study significantly improved the stability of network operation, but it ignored renewable energy consumption rate.…”

Section: Introductionmentioning

confidence: 99%

Smart Community Energy Cost Optimization Taking User Comfort Level and Renewable Energy Consumption Rate into Consideration

Shi

Gong

et al. 2019

Processes

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With the rapid development of smart community technologies, how to improve user comfort levels and make full use of renewable energy have become urgent problems. This paper proposes an optimization algorithm to minimize daily energy costs while considering user comfort level and renewable energy consumption rate. In this paper, the structure of a typical smart community and the output models of all components installed in the community are introduced first. Then, the characteristics of different types of loads are analyzed, followed by defining the coefficients of user comfort level. In this step, the influence of load-scheduling on user comfort level and the renewable energy consumption rate is emphasized. Finally, based on the time-of-use gas price, this paper optimizes the daily energy costs for an off-grid community under the constraints of the comfort level and renewable energy consumption rate. Results show that scheduling transferable loads and interruptible loads are not independent to each other, and improving user comfort level requires spending more money as compensation. Moreover, fully consuming renewable energy has side effects on energy bills and battery lifetime. It is more conducive to system economy and stability if the maximum renewable energy consumption rate is restricted to 95%.

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Peak Load Regulation and Cost Optimization for Microgrids by Installing a Heat Storage Tank and a Portable Energy System

Cited by 9 publications

References 31 publications

Sizing Hybrid Energy Storage Systems for Distributed Power Systems under Multi-Time Scales

Sizing Hybrid Energy Storage Systems for Distributed Power Systems under Multi-Time Scales

Supervision of a PV system with storage connected to the power line and design of a battery protection system

Smart Community Energy Cost Optimization Taking User Comfort Level and Renewable Energy Consumption Rate into Consideration

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