Optimal sizing of battery energy storage for micro-grid operation management using a new improved bat algorithm

Bahmani-Firouzi, Bahman; Azizipanah‐Abarghooee, Rasoul

doi:10.1016/j.ijepes.2013.10.019

Cited by 352 publications

(195 citation statements)

References 38 publications

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“…Carbon emission is a big concern of micro-grid system. This is partly due to that besides renewable energy and clean energy, the rest of its power supply is mainly coal, which will produce a lot of carbon emissions [8,9]. The other reason is that when it exchanges electricity with large grid, micro-grid system will produce more carbon emissions as power consumer since that power generation of large grid is mainly coal-based.…”

Section: Variable Description Of Micro-grid Project Auctionmentioning

confidence: 99%

Auction Mechanism of Micro-Grid Project Transfer

2017

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Micro-grid project transfer is the primary issue of micro-grid development. The efficiency and quality of the micro-grid project transfer directly affect the quality of micro-grid project construction and development, which is very important for the sustainable development of micro-grid. This paper constructs a multi-attribute auction model of micro-grid project transfer, which reflects the characteristics of micro-grid system and the interests of stakeholders, calculates the optimal bidding strategy and analyzes the influence of relevant factors on auction equilibrium by multi-stage dynamic game with complete information, and makes a numerical simulation analysis. Results indicate that the optimal strategy of auction mechanism is positively related to power quality, energy storage quality, and carbon emissions. Different from the previous lowest price winning mechanism, the auction mechanism formed in this paper emphasizes that the energy suppliers which provide the comprehensive optimization of power quality, energy storage quality, carbon emissions, and price will win the auction, when both the project owners and energy suppliers maximize their benefits under this auction mechanism. The auction mechanism is effective because it is in line with the principle of individual rationality and incentive compatibility. In addition, the number of energy suppliers participating in the auction and the cost of the previous auction are positively related to the auction equilibrium, both of which are adjusting the equilibrium results of the auction. At the same time, the utilization rate of renewable energy and the comprehensive utilization of energy also have a positive impact on the auction equilibrium. In the end, this paper puts forward a series of policy suggestions about micro-grid project auction. The research in this paper is of great significance to improve the auction quality of micro-grid projects and promote the sustainable development of micro-grid.

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Section: Variable Description Of Micro-grid Project Auctionmentioning

confidence: 99%

Auction Mechanism of Micro-Grid Project Transfer

2017

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“…Some research has focused on the technological field of micro-grids, such as, power generation technology [7,8], energy storage technology [9,10], control and protection technology [11,12], energy exchange technology [13,14], micro-grid system optimization [15,16] and other key technologies. Other research has focused on micro-grids from the perspective of economy and management, including costs and benefits of investment [17], the market operation mechanism [18], social benefits and social welfare effects [19], auction mechanism [20], and cooperation between stakeholders of micro-grid [21].…”

Section: Introductionmentioning

confidence: 99%

Incentive Mechanism of Micro-grid Project Development

2018

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Due to the issue of cost and benefit, the investment demand and consumption demand of micro-grids are insufficient in the early stages, which makes all parties lack motivation to participate in the development of micro-grid projects and leads to the slow development of micro-grids. In order to promote the development of micro-grids, the corresponding incentive mechanism should be designed to motivate the development of micro-grid projects. Therefore, this paper builds a multi-stage incentive model of micro-grid project development involving government, grid corporation, energy supplier, equipment supplier, and the user in order to study the incentive problems of micro-grid project development. Through the solution and analysis of the model, this paper deduces the optimal subsidy of government and the optimal cooperation incentive of the energy supplier, and calculates the optimal pricing strategy of grid corporation and the energy supplier, and analyzes the influence of relevant factors on optimal subsidy and incentive. The study reveals that the cost and social benefit of micro-grid development have a positive impact on micro-grid subsidy, technical level and equipment quality of equipment supplier as well as the fact that government subsidies positively adjust the level of cooperation incentives and price incentives. In the end, the validity of the model is verified by numerical analysis, and the incentive strategy of each participant is analyzed. The research of this paper is of great significance to encourage project development of micro-grids and to promote the sustainable development of micro-grids.

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“…Mohammadi et al [8] applied a variation of GA to find an optimal power output as well as the cost of MG under the deregulated electricity market. Bahmani-Firouzi and Azizipanah-Abarghooee [9] developed an IBA for the economical operation of MG.…”

Section: Introductionmentioning

confidence: 99%

Smart Microgrid Energy Management Using a Novel Artificial Shark Optimization

Singh

Khan

2017

Complexity

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At present, renewable energy sources (RESs) integration using microgrid (MG) technology is of great importance for demand side management. Optimization of MG provides enhanced generation from RES at minimum operation cost. The microgrid optimization problem involves a large number of variables and constraints; therefore, it is complex in nature and various existing algorithms are unable to handle them efficiently. This paper proposed an artificial shark optimization (ASO) method to remove the limitation of existing algorithms for solving the economical operation problem of MG. The ASO algorithm is motivated by the sound sensing capability of sharks, which they use for hunting. Further, the intermittent nature of renewable energy sources is managed by utilizing battery energy storage (BES). BES has several benefits. However, all these benefits are limited to a certain fixed area due to the stationary nature of the BES system. The latest technologies, such as electric vehicle technologies (EVTs), provide all benefits of BES along with mobility to support the variable system demands. Therefore, in this work, EVTs incorporated grid connected smart microgrid (SMG) system is introduced. Additionally, a comparative study is provided, which shows that the ASO performs relatively better than the existing techniques.

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Optimal sizing of battery energy storage for micro-grid operation management using a new improved bat algorithm

Cited by 352 publications

References 38 publications

Auction Mechanism of Micro-Grid Project Transfer

Auction Mechanism of Micro-Grid Project Transfer

Incentive Mechanism of Micro-grid Project Development

Smart Microgrid Energy Management Using a Novel Artificial Shark Optimization

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