Improved PSO algorithm for microgrid energy optimization dispatch

Lin, Bing; Zhou, Ming; Du, Wangyang; Liu, Chenyu

doi:10.1109/appeec.2013.6837179

Cited by 5 publications

(4 citation statements)

References 5 publications

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“…MG operation cost of typical days calculated by using the proposed algorithm is less than the conventional PSO, and the constraint violation degree of optimal energy dispatch calculated by the proposed algorithm under the goal of minimum operation cost is also less than the one by the conventional PSO [13].…”

Section: Results In Corresponding Reference Papersmentioning

confidence: 93%

“…The optimal energy dispatch problem for MG is modeled as a cost minimization problem (fuel consumption cost and interaction electricity cost between MG and main grid at time t) with the output constraints of controllable micro resource adjusted by prediction errors, the ramp rate, time-of use price and other factors. Then this model is transformed into a biobjective optimization problem in order to deal with the constraint boundary better [13].…”

Section: Different Optimization Problems Associated With Mgsmentioning

confidence: 99%

“…Improved PSO algorithm with simplex crossover operator is proposed to improve the overall efficiency of optimization [13].…”

Section: Optimization Techniques Used In Particular Areasmentioning

confidence: 99%

See 2 more Smart Citations

A Review on Optimal Generation Techniques used in Microgrids

Rani¹,

Kumar²

2015

IJERT

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Results of a literature survey done on optimization of generation thought that there is plenty of research study. With the depletion of conventional energy sources and increasing of load demand, there is a need of alternative energy sources, therefore non-conventional energy sources and distribution generation technologies continue to gain popularity. As nonconventional energy sources are intermittent, complete dependence on these sources also makes us to face difficulties such as availability of the electricity generated, weather conditions, cost of the equipment, reliability, power quality, voltage profile etc MG, which is a cluster of distributed generation sources, storages and loads that cooperate together in order to improve the power supply reliability, power quality and overall power system stability. It also integrates the advantages of power generation from alternative energy and non-conventional energy power generation systems connected to the grid. This paper presents different optimization techniques developed in recent days for minimization of cost, over emissions and curtailment of loads.

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Section: Results In Corresponding Reference Papersmentioning

confidence: 93%

Section: Different Optimization Problems Associated With Mgsmentioning

confidence: 99%

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A Review on Optimal Generation Techniques used in Microgrids

Rani¹,

Kumar²

2015

IJERT

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“…Multi agent system is a novel method for solving and implementing computer software projects. Although these systems are rather new, using design methods based on agents has been one of the most successful solutions and resulted in the distributed solving systems which is considered as one of the best available systems [9,11,12]. There are two important problems in designing MAS; first is the designing of the agent and second is an environmental design for the performance and communication between the agents.…”

Section: Decentralized Power Management Strategymentioning

confidence: 99%

Decentralized Power Management of a Hybrid Microgrid Consisting of Solar Panel and Storage Device

Bandar¹,

Mozaffarilegha²

2019

EJEE

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Energy management systems for micro grids (EMS-MG) play an important role for optimized and stable utilizations. Microgrids (MGs) have different types of resources and loads. They can be used as a basic means for achieving improved reliability and serviceability, better power quality, and enhancing the energy efficiency. Decentralized energy management systems for micro grids (DEMS-MG) play a significant role in their optimal and stable operation. In this paper, the proposed strategy for EMS has been implemented for operation of multiple sample microgrids with renewable energy resources alongside the compound power of support such as microturbine and batteries for equalizing the mismatch between power and storage of extra energy when required. The proposed strategy is characterized by concurrent determination of responsive load based on multiagent system alongside genetic algorithm for minimizing the costs related to the microgrid operation, reducing the consumed power of different types of generated loads, and optimal production of each of the generation resources and the storage device present in the microgrid.

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Joint Optimization Dispatching for Hybrid Power System Based on Deep Reinforcement Learning

Dai

Jiang

et al. 2019

2019 IEEE 8th International Conference on Advanced Power System Automation and Protection (APAP)

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Improved PSO algorithm for microgrid energy optimization dispatch

Cited by 5 publications

References 5 publications

A Review on Optimal Generation Techniques used in Microgrids

A Review on Optimal Generation Techniques used in Microgrids

Decentralized Power Management of a Hybrid Microgrid Consisting of Solar Panel and Storage Device

Joint Optimization Dispatching for Hybrid Power System Based on Deep Reinforcement Learning

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