Optimum Reserve Estimation in Micro-Grids containing Renewable Distributed Generation Resources

Sanij, Mohammad Dehghani; Dehghani-Ashkezari, Mahdi; Hashemi‐Dezaki, Hamed

doi:10.17485/ijst/2015/v8i28/82804

Cited by 2 publications

(4 citation statements)

References 13 publications

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“…To accomplish energy management in islanded Microgrid it is important to maintain a low cost of the entire operation in the whole "predictive zone" equation (27) gives the objective functions and its solutions provide the control action. (27) https://www.indjst.org/ Figure 7 shows flowchart the steps involved in the EHMPC based optimization approach. The uncertain forecasts can be solved by considering the solution of robust linear optimization formulation (25)(26)(27)(28).…”

Section: Objective Constraintmentioning

confidence: 99%

“…(27) https://www.indjst.org/ Figure 7 shows flowchart the steps involved in the EHMPC based optimization approach. The uncertain forecasts can be solved by considering the solution of robust linear optimization formulation (25)(26)(27)(28). An economic dispatch model has to be considered to solve the real time optimization problem by obtaining the actual data.…”

Section: Objective Constraintmentioning

confidence: 99%

“…Further an EMS framework is also incorporated to minimize the conservativeness. Certain parameter in the model such as S 1power (t), W 1power (t), C 1load (t) and f 1load (t) are delt by utilizing robust optimization approach (26)(27)(28) . In this work, we have define a parameter ζ , as the degree of uncertainty .…”

Section: Objective Constraintmentioning

confidence: 99%

“…• In the similar manner, the objective function (27) has to be dealt for the uncertain parameter f load (t)…”

Section: The Efficient Mathematical Model For Reconfigurable Worktationmentioning

confidence: 99%

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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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Section: Objective Constraintmentioning

confidence: 99%

Section: Objective Constraintmentioning

confidence: 99%

Section: Objective Constraintmentioning

confidence: 99%

“…• In the similar manner, the objective function (27) has to be dealt for the uncertain parameter f load (t)…”

Section: The Efficient Mathematical Model For Reconfigurable Worktationmentioning

confidence: 99%

See 2 more Smart Citations

Implementation of an effective hybrid model for islanded microgrid energy management

Mallikarjunaswamy¹

2020

IJST

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Multi-Objective Control, Management and Optimization of Micro-grid Energy in the Presence of DG and Energy Storage by a Smart Energy Management System (SEMS)

Moghimi

Hosseinian

Elahimanesh

et al. 2015

Indian Journal of Science and Technology

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Optimum Reserve Estimation in Micro-Grids containing Renewable Distributed Generation Resources

Cited by 2 publications

References 13 publications

Implementation of an effective hybrid model for islanded microgrid energy management

Implementation of an effective hybrid model for islanded microgrid energy management

Multi-Objective Control, Management and Optimization of Micro-grid Energy in the Presence of DG and Energy Storage by a Smart Energy Management System (SEMS)

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