A new isolated renewable based multi microgrid optimal energy management system considering uncertainty and demand response

Ahmadi, Seyed Ehsan; Rezaei, Navid

doi:10.1016/j.ijepes.2019.105760

Cited by 140 publications

(58 citation statements)

References 45 publications

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“…For ESSs, the power output/input of an ESS in islanded mode is constrained by the maximum charging/discharging power as in Eq. (13). Unlike dispatchable DGs, ESSs can be switched from charging to discharging status instantaneously after islanding, and vice versa.…”

Section: B Microgrid Scheduling With Resiliency Constraintsmentioning

confidence: 99%

“…A two-stage stochastic programming model for the joint optimization of investment and operation of a microgrid considering ESSs, renewable generation and demand response is proposed in [12]. The two-stage stochastic energy management is considered for the operation of interconnected microgrids in [13]. A chance-constrained programming-based scheduling model, which makes full use of ESSs to provide spinning reserve service for isolated microgrids is proposed in [14].…”

Section: Introductionmentioning

confidence: 99%

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Robust Microgrid Scheduling With Resiliency Considerations

et al. 2020

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A new microgrid scheduling model with resiliency guaranteed under the risk of both utility failure and prevailing uncertainties of renewable generation and load is proposed in this paper. The proposed model minimizes the overall operating cost of the microgrid by efficiently coordinating the power supply from local distributed energy resources and the main grid. The resiliency is ensured by maintaining certain amount of flexibility in local distributed energy resources, which can be quickly deployed to keep the power supply uninterrupted whenever the utility grid suddenly goes down. In addition, the uncertainties of renewable generation and load are captured with the proposed two-stage robust optimization model. By solving the proposed optimization, the solution not only guarantees the resiliency of the microgrid by supporting possible islanding incidents without load interruption, but also ensures robustness against the randomness of renewable generation and load. Results of case studies on a typical microgrid demonstrate the effectiveness of the presented robust microgrid scheduling model. INDEX TERMS Distributed generation, microgrid scheduling, resiliency, robust optimization, unintentional islanding. NOMENCLATURE The term (k) in the upper right position stands for the value of the symbol's k-th iteration. A bold symbol stands for its corresponding vector.

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Section: B Microgrid Scheduling With Resiliency Constraintsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Robust Microgrid Scheduling With Resiliency Considerations

et al. 2020

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“…The ADG units have initial cost, Utilization and maintenance costs equation (19) shows the fuel consumption cost function of ADG (20)(21)(22) . The startup cost and shut down loss of the DG units should satisfy (20)- (21).…”

Section: Equipment Modelmentioning

confidence: 99%

Implementation of an effective hybrid model for islanded microgrid energy management

Mallikarjunaswamy¹

2020

IJST

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Objective: To propose an effective hybrid model for predictive control (EHMPC) to efficiently manage demand and supply of energy for a microgrid operating in islanded mode operation. Due to the intermittent nature of renewable energy sources and variation in load in the microgrid, maintaining the system stability and reliability along with the economy is a critical issue to be addressed. In the islanded mode of operation, the voltage and frequency have to be monitored in addition to managing energy storage units. The different uncertainties occurring at various stages of microgrid should be taken into account to operate the microgrid with reliability under critical condition Methods: This paper proposes an effective algorithm to efficiently control the operation of microgrid and to operate it with optimal efficiency and reliability. In this work, we have proposed a three-stage control of the microgrid where the first stage consists of the arbitrarily distributed generation (ADG) stage, the second stage has energy storage unit (ESU), and the final stage has the energy management scheme (EMS). Finding: A case study has been carried out and the proposed method is found to be better in performance, economical and robust in comparison with the conventional two-stage model predictive control (MPC) optimization approach. Further important parameters have been analyzed. Novelty: To overcome the limitations of conventional MPC algorithm, we propose a three-stage EHMPC algorithm it consists of three stages, ADG had the first stage of the algorithm the main features of this stage. To optimize the placement, sizing, power factor, minimize network losses and maximize DG integration. The second stage has ESU, the main features of this stage to improve control strategy for optimal power management of microgrid and the final stage has the EMS, to improve tested analysis for a real-time islanded microgrid under various load conditions.

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“…Real time pricing (RTP) has been used as demand response program. As mentioned in Reference 9, UC in networked MGs has been formulated as an MILP problem and has been solved with CPLEX solver. Demand response has been used to reduce the operation cost of MG and the uncertainties of demand and renewable generation have been dealt with MCS.…”

Section: Introductionmentioning

confidence: 99%

A mixed binary‐continuous particle swarm optimisation algorithm for unit commitment in microgrids considering uncertainties and emissions

Jordehi

2020

Int Trans Electr Energ Syst

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Objective Using a mixed binary continuous particle swarm optimisation (PSO) with V‐shaped quadratic transfer for solving UC in demand response integrated MGs, while the uncertainties are considered. Method A mixed binary continuous particle swarm optimisation (PSO) is used for optimisation. Results The UC results have been achieved for 6 different scenarios. The potential of load curtailment as an incentive‐based demand response program has been approved in decreasing operation cost of MGs and the effect of emissions, spinning reserve constraint and bid functions on operation cost of MG has been investigated. Discussion The achieved results in different scenarios approve the outperformance of the proposed PSO over some benchmark optimisation algorithms.

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A new isolated renewable based multi microgrid optimal energy management system considering uncertainty and demand response

Cited by 140 publications

References 45 publications

Robust Microgrid Scheduling With Resiliency Considerations

Robust Microgrid Scheduling With Resiliency Considerations

Implementation of an effective hybrid model for islanded microgrid energy management

A mixed binary‐continuous particle swarm optimisation algorithm for unit commitment in microgrids considering uncertainties and emissions

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