Optimal planning of energy storage system in active distribution system based on fuzzy multi-objective bi-level optimization

Li, Rui; Wang, Wei; Chen, Zhe; Wu, Xuezhi

doi:10.1007/s40565-017-0332-x

Cited by 58 publications

(17 citation statements)

References 27 publications

(46 reference statements)

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“…η BESS represents the efficiency of the BESS. The BESS efficiency is considered equal during discharge and charge operations [28], which is 0.9 [29]. The battery sizing algorithm is shown in Fig.…”

Section: Novel and Optimal Battery Sizing Methodsmentioning

confidence: 99%

A Novel and Optimal Battery Sizing Procedure Based on MG Frequency Security Criterion Using Coordinated Application of BESS, LED Lighting Loads, and Photovoltaic Systems

2020

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This paper proposes a novel and optimal battery sizing procedure for the primary frequency control (PFC) of islanded microgrid (MG). The Battery Energy Storage System (BESS), Photovoltaic (PV) systems and LED Lighting Loads (LEDLLs) are coordinated to quickly intercept frequency deviation in the stage of PFC. The PVs decrease their power generation in the case of surplus of power generation. The LEDLLs decrease their power consumption in the case of power shortage. The BESS participates in PFC in both cases by injecting/absorbing power. Some batteries with overloading characteristics are capable of fast discharge/charge for a short period, which can be used to reduce the required battery size for PFC application. The conventional overloading characteristics is based on constant power discharge/charge, but the BESS power varies in response to frequency deviation. To overcome this problem, a modified overloading characteristic is presented based on variable power discharge/charge, which is used to propose a battery sizing algorithm. The Genetic Algorithm is used to optimally determine the frequency controllers' coefficients of the BESS, PVs and LEDLLs to minimize the required battery size while maintaining the MG frequency within safe operational limits. The proposed battery sizing procedure is evaluated on the CIGRE low voltage benchmark system using simulation in MATLAB/Simulink software. The results show that beside the overloading characteristics of the battery, the participation of PVs and LEDLLs in PFC also reduces the required battery size, because their participation reduces the share of BESS participation in PFC.

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Section: Novel and Optimal Battery Sizing Methodsmentioning

confidence: 99%

A Novel and Optimal Battery Sizing Procedure Based on MG Frequency Security Criterion Using Coordinated Application of BESS, LED Lighting Loads, and Photovoltaic Systems

2020

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“…where T day is the operation days of HESS within a year (365 in this paper); k Bp (CNY/MW), k Be (CNY/MWh) are the specific cost of per unit of power rating and capacity of battery respectively; k Cp (CNY/MW), k Ce (CNY/MWh) are the specific cost of per unit of power rating and capacity of UC respectively; k bop (CNY/MW) refers to the unit cost associated with BOP; CRF denotes capital recovery factor, which is the ratio of a constant annuity to the present value of receiving that annuity for a given length of time [16,48]. T proj is the project service period in years and r 0 is the annual discount rate.…”

Section: Capital Costmentioning

confidence: 99%

Optimized Sizing and Scheduling of Hybrid Energy Storage Systems for High-Speed Railway Traction Substations

Liu

Chen

et al. 2018

Energies

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Abstract:The integration of hybrid energy storage systems (HESS) in alternating current (AC) electrified railway systems is attracting widespread interest. However, little attention has been paid to the interaction of optimal size and daily dispatch of HESS within the entire project period. Therefore, a novel bi-level model of railway traction substation energy management (RTSEM) system is developed, which includes a slave level of diurnal HESS dispatch and a master level of HESS sizing. The slave level is formulated as a mixed integer linear programming (MILP) model by coordinating HESS, traction load, regenerative braking energy and renewable energy. As for the master level model, comprehensive cost study within the project period is conducted, with batteries degradation and replacement cost taken into account. Grey wolf optimization technique with embedded CPLEX solver is utilized to solve this RTSEM problem. The proposed model is tested with a real high-speed railway line case in China. The simulation results of several cases with different system elements are presented, and the sensitivity analyses of several parameters are also performed. The obtained results reveal that it shows significant economic-saving potentials with the integration of HESS and renewable energy.

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“…If the location and sizing of BESSs are not set reasonably, or the operation strategy adopted fails to efficiently play the role of BESSs, the voltage quality may deteriorate, and further increase investment and operation costs (Li et al, 2020). To enable us to take full advantage of distributed BESSs and make their access to the DN have a positive impact, it is important to select the appropriate location and sizing of BESSs based on the appropriate operation strategy (Li et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Optimal Locating and Sizing of BESSs in Distribution Network Based on Multi-Objective Memetic Salp Swarm Algorithm

et al. 2021

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Battery energy storage systems (BESSs) are a key technology to accommodate the uncertainties of RESs and load demand. However, BESSs at an improper location and size may result in no-reasonable investment costs and even unsafe system operation. To realize the economic and reliable operation of BESSs in the distribution network (DN), this paper establishes a multi-objective optimization model for the optimal locating and sizing of BESSs, which aims at minimizing the total investment cost of BESSs, the power loss cost of DN and the power fluctuation of the grid connection point. Firstly, a multi-objective memetic salp swarm algorithm (MMSSA) was designed to derive a set of uniformly distributed non-dominated Pareto solutions of the BESSs allocation scheme, and accumulate them in a retention called a repository. Next, the best compromised Pareto solution was objectively selected from the repository via the ideal-point decision method (IPDM), where the best trade-off among different objectives was achieved. Finally, the effectiveness of the proposed algorithm was verified based on the extended IEEE 33-bus test system. Simulation results demonstrate that the proposed method not only effectively improves the economy of BESSs investment but also significantly reduces power loss and power fluctuation.

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Optimal planning of energy storage system in active distribution system based on fuzzy multi-objective bi-level optimization

Cited by 58 publications

References 27 publications

A Novel and Optimal Battery Sizing Procedure Based on MG Frequency Security Criterion Using Coordinated Application of BESS, LED Lighting Loads, and Photovoltaic Systems

A Novel and Optimal Battery Sizing Procedure Based on MG Frequency Security Criterion Using Coordinated Application of BESS, LED Lighting Loads, and Photovoltaic Systems

Optimized Sizing and Scheduling of Hybrid Energy Storage Systems for High-Speed Railway Traction Substations

Optimal Locating and Sizing of BESSs in Distribution Network Based on Multi-Objective Memetic Salp Swarm Algorithm

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