Dynamic Pricing and Balancing Mechanism for a Microgrid Electricity Market

Stańczak, Jarosław; Radziszewska, Weronika; Nahorski, Zbigniew

doi:10.1007/978-3-319-11310-4_69

Cited by 7 publications

(3 citation statements)

References 13 publications

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“…There have been other works that focus on energy sharing between buildings but no direct work has been done on intra-nZEC energy sharing for the community benefit. Previous works on only energy sharing between buildings focus on economic gains [8], [9], optimizing transactions [10] and thereby reducing transmission and storage loses at the individual building level. [4] defines nZEC as a collection of only ZEBs having its annual energy balance as zero.…”

Section: Related Workmentioning

confidence: 99%

Multi-agent Deep Reinforcement Learning for Zero Energy Communities

Prasad

Dusparić

2019

2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)

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A Zero Energy Building (ZEB) has its net energy usage over a period of one year as zero, i.e., its energy use is not larger than its overall renewables generation. A collection of such ZEBs forms a Zero Energy Community (ZEC). This paper addresses the problem of energy sharing in such a community. This is different from previously addressed energy sharing between buildings as our focus is on the improvement of community energy status, while traditionally research focused on reducing losses due to transmission and storage, or achieving economic gains. We model this problem in a multi-agent environment and propose a Deep Reinforcement Learning (DRL) based solution. Results indicate that with time buildings learn to collaborate and learn a policy comparable to the optimal policy, which in turn improves the ZEC's energy status. Buildings with no renewables preferred to request energy from their neighbours rather than from the supply grid.

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Section: Related Workmentioning

confidence: 99%

Multi-agent Deep Reinforcement Learning for Zero Energy Communities

Prasad

Dusparić

2019

2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)

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“…Although decentralized transactions are realized, there are no market trading mechanism compatible with blockchain. The application of blockchain technology and multi-signature proposed in paper [6] enables peers to negotiate energy prices anonymously and execute transactions securely, but lacks a flexible pricing scheme.The continuous double auction (CDA) mechanism in paper [7] is introduced into the microgrid to achieve pricing and balance of transactions. Combining the market trading mechanism with the blockchain technology to solve the microgrid distributed electricity trading in the literature [8], which uses the continuous double auction.…”

Section: Introductionmentioning

confidence: 99%

A Privacy Protection Scheme of Microgrid Direct Electricity Transaction Based on Consortium Blockchain and Continuous Double Auction

et al. 2019

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Low cost, high efficiency, price transparency, and timely settlement of transactions are required for direct transactions between electricity providers and consumers in the microgrids. So the blockchain technology and the continuous double auction mechanism for direct electricity trading have always been a hot topic in the field of microgrids.In order to further reduce the transaction cost of blockchain and increase the transaction efficiency, and to solve the problem of lack of privacy protection for continuous double auction in the existing scheme, a privacy protection scheme of microgrids direct electricity transaction based on consortium blockchain and the continuous double auction is proposed. In it, the combination of consortium blockchain technology and continuous double auction mechanism is applied to reduce costs and improve the efficiency of transactions. In the meanwhile, pseudonyms and pseudonym certificates are generated by fair blind signature technology to realize identity privacy in the continuous double auction. And decentralization and user identity traceability are achieved by using (t, n) threshold secret sharing technology which distributes and recovers the private key of a trusted third party. The theoretical security analysis shows that the privacy protection scheme has higher security. The simulation experiment shows that the consortium blockchain technology has lower cost and higher efficiency in this scheme. INDEX TERMS Microgrid electricity trading, consortium blockchain, fair blind signature, (t, n) threshold secret sharing, privacy protection.

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“…Obviously, direct trading between consumers and generation suppliers will both improve their own benefits without retailers as an inter mediator or third party. However, the transaction manage ment methods of centralized electricity markets are still facing the following major problems:[4,5,6,7,8,9,10,11]…”

mentioning

confidence: 99%

Small-scale Microgrid Energy Market Based on PILT-DAO

Gao

Zhang

et al. 2019

2019 North American Power Symposium (NAPS)

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With the installed capacities of Distributed Generations (DGs) dramatically increasing in power systems from Distributed Energy Resources (DERs) such as hydropower, wind, solar, geothermal and biomass, the operation methods of DERs tradings or transactions become more and more complicated. However, the energy market of DERs in Microgrids (MGs) is still under devolvement due to low security and transparency at present. Therefore, a small-scale microgrid energy market is proposed in this study based on Decentralized Autonomous Organization of Par allel, Integrity, Longevity, and Transparency (PILT-DAO) of the features of the blockchain. The microgrid owners can complete the transaction in the PILT-DAO market.

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Dynamic Pricing and Balancing Mechanism for a Microgrid Electricity Market

Cited by 7 publications

References 13 publications

Multi-agent Deep Reinforcement Learning for Zero Energy Communities

Multi-agent Deep Reinforcement Learning for Zero Energy Communities

A Privacy Protection Scheme of Microgrid Direct Electricity Transaction Based on Consortium Blockchain and Continuous Double Auction

Small-scale Microgrid Energy Market Based on PILT-DAO

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