Distribution Level Aggregator Platform for DSO Support—Integration of Storage, Demand Response, and Renewables

Ali, Jibran; Massucco, S.; Silvestro, F.

doi:10.3389/fenrg.2019.00036

Cited by 6 publications

(4 citation statements)

References 44 publications

(40 reference statements)

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“…while a huge capacity of wind generations will be integrated in the grid. The authors in [26] present a platform for distribution level aggregators to serve as sub demand side operator in terms of the electrical energy storage system, customers DR, and the renewable resources (PV and wind). Four types of consumers such as residential, commercial, aggregated, and residual have been considered to provide a real power reserve via DR programs.…”

Section: Proposed Methodologymentioning

confidence: 99%

Sequential Tasks Shifting for Participation in Demand Response Programs

et al. 2020

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In this paper, the proposed methodology minimizes the electricity cost of a laundry room by means of load shifting. The laundry room is equipped with washing machines, dryers, and irons. Additionally, the optimization model handles demand response signals, respecting user preferences while providing the required demand reduction. The sequence of devices operation is also modeled, ensuring correct operation cycles of different types of devices which are not allowed to overlap or have sequence rules. The implemented demand response program specifies a power consumption limit in each period and offers discounts for energy prices as incentives. In addition, users can define the required number of operations for each device in specific periods, and the preferences regarding the operation of consecutive days. In the case study, results have been obtained regarding six scenarios that have been defined to survey about effects of different energy tariffs, power limitations, and incentives, in a laundry room equipped with three washing machines, two dryers, and one iron. A sensitivity analysis of the power consumption limit is presented. The results show that the proposed methodology is able to accommodate the implemented scenario, respecting user preferences and demand response program, minimizing energy costs. The final electricity price has been calculated for all scenarios to discuss the more effective schedule in each scenario.

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Section: Proposed Methodologymentioning

confidence: 99%

Sequential Tasks Shifting for Participation in Demand Response Programs

et al. 2020

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“…With the help of DER aggregators, the scheduling pressure of power system operators can be shifted downstream [5]. However, aggregators themselves have to find an effective way to organize profit-seeking DER individuals and their volatile outputs.…”

Section: A Motivationsmentioning

confidence: 99%

“…Regardless of the aggregator chosen by DER i, its values of Cit in (4)-( 5) are utilized in a tamper-evident manner by a blockchain. The logarithmic and linear forms in (5) can control the rate of growth or decline in subjective credits, respectively, while the cumulative effect of historical credit decreases over time.…”

Section: B Po2c Consensusmentioning

confidence: 99%

Selection Game for Consensus-Based Decentralized Aggregators of Distributed Energy Resources in a Blockchain Ecosystem

Bao

et al. 2022

IEEE Access

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Aggregators can be effective in organizing distributed energy resources (DERs) for electricity markets and power systems. The recent development of blockchain and peer-to-peer (P2P) networks provides a new ecosystem for aggregating DERs. Initial studies have mainly used off-the-shelf consensuses, which may struggle to balance node sizes and computational intensities. Moreover, the dynamics of DERs changing their selection among multiple aggregators over time are rarely considered in most related literature. This freedom of selection, which is encouraged by the electricity market, can be better activated by a blockchain. In this study, a game-dynamic-based selection framework for multiple aggregators of DERs is proposed in a decentralized blockchain ecosystem. First, a proof-of-dual-credibility (Po2C) protocol is established so that DERs in such an aggregator can reach consensus. At the same time, for one DER node, both an unavoidable objective credit and a malicious subjective credit constitute its credibility with different weights. Then, a function with triple payoffs motivates DERs in terms of both the physical characteristics of being power supply devices and P2P nodes, the latter including consensus winning and data propagation. Third, the selection game of DERs among aggregators is modeled as an evolutionary game under replicator dynamics to find equilibrium. Numerical simulations with two and four aggregators show general stability in the selection game of DERs. Performance achieved with different consensuses and incentives are compared as well. The framework shows its great potential to organize DERs in a decentralized but aggregated mechanism in open electricity markets.INDEX TERMS aggregation, consensus protocol, distributed generator, equilibrium, game dynamics, peerto-peer network

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“…In some studies, DSOs were proposed to deploy the flexibility potential of demand-side resources for operating their local distribution networks. For instance, in [23], it was suggested that the DSO assigns its responsibilities to some aggregator. The aggregators utilize EVs, renewable energy resources, and demand response to operate their own local networks.…”

Section: ) Local Flexibility Provisionmentioning

confidence: 99%