Optimizing Capacities of Distributed Generation and  Energy Storage in a Small Autonomous Power System Considering Uncertainty in Renewables

Hong, Yi; Lai, Yuanming; Chang, Yung‐Ruei; Lee, Yih‐Der; Liu, Pang‐Wei

doi:10.3390/en8042473

Cited by 30 publications

(24 citation statements)

References 26 publications

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“…Since the carbon dioxide emissions are relatively low (about 20 g/kWh) for the PV system [29] and even less for the wind turbine system, the carbon emissions of the proposed renewable energy generation system are neglected in this paper.…”

Section: Distributed Renewable Power Generation Systemmentioning

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%

“…where a, b, and c, the carbon emission coefficients, are respectively assigned the values of 28.144, 1.728, and 0.0017 in this paper [29].…”

Section: Distributed Diesel Generator Systemmentioning

confidence: 99%

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

Liu

et al. 2018

Applied Sciences

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“…In a power system, there is a great deal of uncertainty due to stochastic changes in the load, random unit outages and unpredictable faults in power lines [1,2]. When disturbances and faults occur, there could be fluctuations or drops in the frequency, and backup power resources that can respond instantly play a significant role in frequency maintenance and recovery.…”

Section: Introductionmentioning

confidence: 99%

Effect of the Coordinative Optimization of Interruptible Loads in Primary Frequency Regulation on Frequency Recovery

Zhou

Li²,

et al. 2016

Energies

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When faults and disturbances occur in power systems, backup power resources respond to maintain the system's frequency, and the frequency recovery effect is related to the primary frequency regulation of the reserve capacity provided by and the response speeds of the system's generating units and interruptible loads. The relationships between a system's frequency and the frequency regulation capacity of the generating units and the interruptible loads are different. In this paper, an index for the frequency recovery effect is proposed based on the static frequency adjustment coefficient of the interruptible load and the adjustment coefficients of the generating units, and an optimization model of an interruptible load participating in primary frequency regulation is built with the objective of minimizing the cost of the primary frequency regulation reserve that uses the system's frequency recovery effect as a constraint. The simulation results verify the validity of the model.

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“…[18]. In terms of the more complex energy systems, a co-optimization method was presented to determine the optimal operation strategy along with the optimal system configurations, indicating that the new structured CCHP system performs much better than the conventional separate system in the annual cost of the CCHP [19]. When taking the influence of the shortage of energy supplies into consideration, the results showed that the economy of the system would be improved if we design the system considering tolerance for energy supply shortages [20].…”

Section: Introductionmentioning

confidence: 99%

Optimal Capacity Configuration for Energy Hubs Considering Part-Load Characteristics of Generation Units

Deng

Jing

et al. 2017

Energies

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Abstract:The simulation model is one of the key points affecting the optimal planning and operation of energy hubs (EHs). Since treating the efficiencies of generation units as constants would significantly simplify the calculation, only a simplified model is investigated in most research works. In this paper, aiming at optimizing the capacity configuration of an EH, we present a part-load characteristics-based (PLCB) model, in which the efficiencies of generation units will change with the fluctuating load. Based on the PLCB model, the accuracy of the EH model can be improved. Furthermore, a two-stage planning method is proposed to solve the optimal capacity configuration problem of the EH. Group Search Optimizer (GSO) is used to determine the optimal size in the first stage, and a mathematical programming method is applied to obtain the optimal operation of the EH in the second stage. Comparative studies using the PLCB model and the simplified model are performed to examine the impacts of equipment part-load characteristics on the sizing results. Simulation results indicate that the proposed model appears to have a better economic performance than the simplified model.

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Optimizing Capacities of Distributed Generation and Energy Storage in a Small Autonomous Power System Considering Uncertainty in Renewables

Cited by 30 publications

References 26 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

Effect of the Coordinative Optimization of Interruptible Loads in Primary Frequency Regulation on Frequency Recovery

Optimal Capacity Configuration for Energy Hubs Considering Part-Load Characteristics of Generation Units

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