Optimal Placement of Energy Storage Systems in Microgrids Using a PSO based Approach

Neagu, Bogdan-Constantin; Gavrilaș, Mihai; Pentiuc, Radu Dumitru; Hopulele, Eugen

doi:10.1109/isgteurope.2019.8905557

Cited by 4 publications

(3 citation statements)

References 13 publications

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“…The objective of the local market is to enable an overlay social network of smart devices that facilitates the communication and trading process between players from LEM, prosumers, consumers and microgrid. They should share a common goal, such as optimal energy management, taking into account that the solution with local energy storage systems (as is battery banks) is too expensive [70,71], and without technical possibility for energy poverty mitigation. In LV electricity distribution networks or local microgrids, there is an increasingly larger number of residential consumers who are opting to install local generation resources to gain independence from the grid.…”

Section: Literature Reviewmentioning

confidence: 99%

New Market Model with Social and Commercial Tiers for Improved Prosumer Trading in Microgrids

et al. 2020

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In the deregulated electricity markets, trading prices are determined by the offer-demand mechanism, and retail consumers can negotiate tariffs with their supplier of choice. For classic wholesale suppliers, the tariffs are determined by the prices of transactions performed on the wholesale market. In parallel with becoming eligible for participating in the market, the consumers use increasingly local generation sources based mostly on renewable electricity generation equipment such as Photovoltaic (PV) panels, and become prosumers. They want to be able to sell back to the market the generation surplus, in order to obtain the maximum benefits from their initial investment. This paper proposes a two-tier local market model oriented for prosumers and consumers connected in microgrids, based on the blockchain technologies and other technologies and concepts such as smart grids, crowdsourcing and energy poverty. Its goals are to improve the possibilities of local prosumers to sell electricity to local consumers and to increase their profitability, compared to the trading model often used in developing markets, of selling the surplus back to the grid via aggregators. The research aims to contribute to the sustainable development of the electricity sector using new and renewable sources of energy, state-of the art technologies and smart contracts, leading to prosumer proliferation and electricity cost reduction for consumers.

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Section: Literature Reviewmentioning

confidence: 99%

New Market Model with Social and Commercial Tiers for Improved Prosumer Trading in Microgrids

et al. 2020

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“…Indubitably in microgrid communities the peers might be from different geographical locations (and bounded by, for example, the DSO). However, they should share a common goal such as optimal energy management taking into account that the solution with local energy storage systems (as is Battery Banks) too expensive [53,54], and without technical possibility for energy poverty mitigation.…”

Section: Literature Reviewmentioning

confidence: 99%

New Methods for Improved Prosumer Trading and Energy Poverty Mitigation in Microgrids using Crowdsourcing Concepts and Blockchain Technologies

Neagu¹,

Ivanov²,

Grigoraș³

et al. 2020

Preprint

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The deregulated markets have replaced the traditional way of trading electricity from the producers to the consumer, via government-owned organizations and regulated tariffs. Nowadays, electricity prices are determined by the offer-demand mechanism and consumers can negotiate tariffs with their supplier of choice. For classic wholesale suppliers, the tariffs are a result of the transactions performed on the wholesale market and the energy mix available in certain geographical regions. In parallel with becoming eligible and participating in retail electricity markets, the consumers use increasingly local generation sources based mostly on renewable energy technologies such as PV panels, and become prosumers. They want to be able to sell back to the market the generation surplus, in order to obtain the maximum benefits from their initial investment. Currently, several trading mechanisms for prosumers are available, ranging from the simplest, selling back the surplus to an aggregator at fixed tariffs, to more complex market schemes. This paper proposed a two-tier local market model for prosumers and consumers connected in microgrids, based on the blockchain technologies and other technologies and concepts such as remote sensing, smart grids, crowdsourcing and energy poverty.

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“…For examples, [21] propose a wind generator with ESS to improve voltage profile and system loss using the PSO algorithm for optimal placement in the 34-bus unbalanced system. Some researches focus on integrating ESS with power PV station, such as, the optimal siting of battery energy storage system (BESS) in distribution network is solved by PSO to minimize the energy losses of the system [22,23]. With similar objective function, [24][25][26] developed the GA optimization method to reduce daily loss and peak demand by PV stations while deploying ESS, but the cost of installing ESS is not considered.…”

Section: Introductionmentioning

confidence: 99%

Coordinated Optimal Placement of Energy Storage System and Capacitor Bank Considering Optimal Energy Storage Scheduling for Distribution System Using Mixed-Integer Particle Swarm Optimization

2022

IJIES

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This paper proposes a mixed-integer particle swarm optimization (MIPSO) for coordinated optimal placement of energy storage system (ESS) and capacitor bank (CB). In the propose method, optimal ESS scheduling (OESSS) is solved by particle swarm optimization (PSO), as a subproblem, the optimal coordinated placement (COP) for ESS and CB, simultaneously. The distribution system annual loss minimization (DSALM) is used as the objectives of COP problem. The proposed method was tested with the IEEE 33-bus radial distribution test system. The results demonstrated that the proposed method is successful and robust in minimizing system losses, which loss saving of 35.12% when compare to the based case, which is the best solution among other existing methods.

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Optimal Placement of Energy Storage Systems in Microgrids Using a PSO based Approach

Cited by 4 publications

References 13 publications

New Market Model with Social and Commercial Tiers for Improved Prosumer Trading in Microgrids

New Market Model with Social and Commercial Tiers for Improved Prosumer Trading in Microgrids

New Methods for Improved Prosumer Trading and Energy Poverty Mitigation in Microgrids using Crowdsourcing Concepts and Blockchain Technologies

Coordinated Optimal Placement of Energy Storage System and Capacitor Bank Considering Optimal Energy Storage Scheduling for Distribution System Using Mixed-Integer Particle Swarm Optimization

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