Optimal Scheduling and Operation of the ESS for Prosumer Market Environment in Grid-Connected Industrial Complex

Choi, Sungyun; Min, Sang-Won

doi:10.1109/tia.2018.2794330

Cited by 51 publications

(29 citation statements)

References 20 publications

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“…The results also indicated that simplification or neglect of ESS efficiency when applying MILP to scheduling may cause a constraint violation.Energies 2020, 13, 1898 2 of 17 as wind turbines and PV generation systems. Battery energy storage system (ESS) as the principal means of managing power variation of RESs has long been a focus of optimal scheduling problems, typically with equations that feature optimization techniques [3][4][5][6][7][8][9][10][11][12].In [3], Soroudi et al proposed an optimal demand response and ESS scheduling in a distribution network while using robust optimization. In [4], Yi et al presented a robust scheduling scheme for ESSs deployed in distribution networks to facilitate high penetration of RESs.…”

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confidence: 99%

“…Garcia-Torres and Bordons [9] proposed an optimal scheduling of hybrid ESS for a microgrid while using model predictive control. The studies in [3][4][5][6][7][8][9] have considered the efficiency of the ESS as a constant value.In [10], Choi and Min proposed a coordination scheme between real-time corrective operations of the ESS and day-ahead optimizing planning. Shi et al [11] analyzed a fluctuation feature of wind power output and proposed generation scheduling optimization of wind-ESS hybrid system.…”

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confidence: 99%

“…Zhao et al [12] considered an operation scheduling problem in renewable-powered microgrids to determine a least-cost unit commitment. ESS efficiency is not even a consideration in the studies in [10][11][12].ESS efficiency depends on the efficiency of both the inverter and the battery. Furthermore, the inverter and battery efficiencies are dependent on an amount of load and a charging/discharging current, respectively, and they are also nonlinear [13][14][15].…”

mentioning

confidence: 99%

“…Energies 2020, 13, 1898 2 of 17 as wind turbines and PV generation systems. Battery energy storage system (ESS) as the principal means of managing power variation of RESs has long been a focus of optimal scheduling problems, typically with equations that feature optimization techniques [3][4][5][6][7][8][9][10][11][12].…”

mentioning

confidence: 99%

“…In [10], Choi and Min proposed a coordination scheme between real-time corrective operations of the ESS and day-ahead optimizing planning. Shi et al [11] analyzed a fluctuation feature of wind power output and proposed generation scheduling optimization of wind-ESS hybrid system.…”

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confidence: 99%

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MILP-PSO Combined Optimization Algorithm for an Islanded Microgrid Scheduling with Detailed Battery ESS Efficiency Model and Policy Considerations

Kim

Glick

Olson³

et al. 2020

Energies

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This paper presents the optimal scheduling of a diesel generator and an energy storage system (ESS) while using a detailed battery ESS energy efficiency model. Optimal scheduling has been hampered to date by the nonlinearity and complexity of the battery ESS. This is due to the battery ESS efficiency being a multiplication of inverter and battery efficiency and the dependency of an inverter and any associated battery efficiencies on load and charging and discharging. We propose a combined mixed-integer linear programming and particle swarm optimization (MILP-PSO) algorithm as a novel means of addressing these considerations. In the algorithm, MILP is used to find some initial points of PSO, so that it can find better solution. Moreover, some additional algorithms are added into PSO to modify and, hence, improve its ability of dealing with constraint conditions and the local minimum problem. The simulation results show that the proposed algorithm performs better than MILP and PSO alone for the practical microgrid. The results also indicated that simplification or neglect of ESS efficiency when applying MILP to scheduling may cause a constraint violation.

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confidence: 99%

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confidence: 99%

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confidence: 99%

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confidence: 99%

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MILP-PSO Combined Optimization Algorithm for an Islanded Microgrid Scheduling with Detailed Battery ESS Efficiency Model and Policy Considerations

Kim

Glick

Olson³

et al. 2020

Energies

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An optimal scheduling strategy for microgrid considering the CDRS and CECS of prosumer

et al. 2021

Int Trans Electr Energ Syst

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With the deepening integration and interaction of the prosumer's "sourceload-storage," for a microgrid (MG) with prosumers, the comprehensive demand-side response (CDSR) of the prosumer's multiresources is conducive to improving the system's new energy consumption，economic benefits, and prosumer's comprehensive electricity consumption satisfaction (CECS) of multiresources usage. Consequently, an optimal scheduling strategy for the MG with prosumers is proposed in this article, considering the CDSR and the CECS of the prosumer. In addition, a master-slave game model with the MG as the leader and the prosumer the follower is established, to stimulate the activity of prosumers participating in the scheduling by bargaining the price of the MG. Taking the maximum operation benefit as the optimization objective, the MG formulates the electricity price incentive policy to encourage prosumers to participate in the MG's peak adjustment dispatching; responding to the MG's price policy, the prosumer develops the scheduling strategy to minimize its total cost and maximize the CECS. After multiple rounds of iterative optimization, the Stackelberg equilibrium is obtained, while two parties are unable to obtain greater benefits by adjusting their own strategies. The simulation results show that the prosumer with the CDSR and the CECS may obtain the best scheduling performance, and the interests of the whole system are promoted with the proposed strategy.

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Optimal probabilistic scenario‐based operation and scheduling of prosumer microgrids considering uncertainties of renewable energy sources

Faraji

Hashemi‐Dezaki

Ketabi

2020

Energy Science & Engineering

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Optimal Scheduling and Operation of the ESS for Prosumer Market Environment in Grid-Connected Industrial Complex

Cited by 51 publications

References 20 publications

MILP-PSO Combined Optimization Algorithm for an Islanded Microgrid Scheduling with Detailed Battery ESS Efficiency Model and Policy Considerations

MILP-PSO Combined Optimization Algorithm for an Islanded Microgrid Scheduling with Detailed Battery ESS Efficiency Model and Policy Considerations

An optimal scheduling strategy for microgrid considering the CDRS and CECS of prosumer

Optimal probabilistic scenario‐based operation and scheduling of prosumer microgrids considering uncertainties of renewable energy sources

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