A New Vision on the Prosumers Energy Surplus Trading Considering Smart Peer-to-Peer Contracts

A growing number of households benefit from the government subsidies to install renewable generation facilities such as PV panels, used to gain independence from the grid and provide cheap energy. In the Romanian electricity market, these prosumers can sell their generation surplus only at regulated prices, back to the grid. A way to increase the number of prosumers is to allow them to make higher profit by selling this surplus back into the local network. This would also be an advantage for the consumers, who could pay less for electricity exempt from network tariffs and benefitting from lower prices resulting from the competition between prosumers. One way of enabling this type of trade is to use peer-to-peer contracts traded in local markets, run at microgrid (μG) level. This paper presents a new trading platform based on smart peer-to-peer (P2P) contracts for prosumers energy surplus trading in a real local microgrid. Several trading scenarios are proposed, which give the possibility to perform trading based on participants’ locations, instantaneous active power demand, maximum daily energy demand and the principle of first come first served implemented in an anonymous blockchain trading ledger. The developed scheme is tested on a low-voltage (LV) microgrid model to check its feasibility of deployment in a real network. A comparative analysis between the proposed scenarios, regarding traded quatities and financial benefits is performed.

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A New Vision on the Prosumers Energy Surplus Trading Considering Smart Peer-to-Peer Contracts

Mathematics ◽

10.3390/math8020235 ◽

2020 ◽

Vol 8 (2) ◽

pp. 235 ◽

Cited By ~ 3

Author(s):

Bogdan-Constantin Neagu ◽

Ovidiu Ivanov ◽

Gheorghe Grigoras ◽

Mihai Gavrilas

Keyword(s):

Electricity Market ◽

Energy Demand ◽

Low Voltage ◽

Peer To Peer ◽

Local Network ◽

Power Demand ◽

Financial Benefits ◽

Daily Energy ◽

New Vision ◽

Energy Surplus

A growing number of households benefit from government subsidies to install renewable generation facilities such as PV panels, used to gain independence from the grid and provide cheap energy. In the Romanian electricity market, these prosumers can sell their generation surplus only at regulated prices, back to the grid. A way to increase the number of prosumers is to allow them to make higher profit by selling this surplus back into the local network. This would also be an advantage for the consumers, who could pay less for electricity exempt from network tariffs and benefit from lower prices resulting from the competition between prosumers. One way of enabling this type of trade is to use peer-to-peer contracts traded in local markets, run at microgrid (μG) level. This paper presents a new trading platform based on smart peer-to-peer (P2P) contracts for prosumers energy surplus trading in a real local microgrid. Several trading scenarios are proposed, which give the possibility to perform trading based on participants’ locations, instantaneous active power demand, maximum daily energy demand, and the principle of first come first served implemented in an anonymous blockchain trading ledger. The developed scheme is tested on a low-voltage (LV) microgrid model to check its feasibility of deployment in a real network. A comparative analysis between the proposed scenarios, regarding traded quatities and financial benefits is performed.

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Low Voltage Daily Energy Demand Temperature Dependent Representation by Using Circular Statistics

Applied Mathematics ◽

10.4236/am.2019.103006 ◽

2019 ◽

Vol 10 (03) ◽

pp. 61-74

Author(s):

Pucheta Julián ◽

Salas Carlos ◽

Piumetto Miguel ◽

Herrera Martín ◽

Rodriguez Rivero Cristian

Keyword(s):

Energy Demand ◽

Low Voltage ◽

Circular Statistics ◽

Temperature Dependent ◽

Daily Energy

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SIMULASI OPTIMASI KAPASITAS PLTS ATAP UNTUK RUMAH TANGGA DI SURABAYA

MULTITEK INDONESIA ◽

10.24269/mtkind.v14i1.2600 ◽

2020 ◽

Vol 14 (1) ◽

Author(s):

Elieser Tarigan

Keyword(s):

Energy Demand ◽

Average Energy ◽

Energy Output ◽

Pv System ◽

Global Warming Impact ◽

Electricity Use ◽

Daily Energy ◽

The Government ◽

Solar Electricity ◽

Optimum Capacity

Energi surya merupakan salah satu pilihan yang dapat digunakan untuk mengurangi pemakaian sumber energi fosil yang persediaannya semakin menipis serta pemanasan global yang ditimbulkan akibat pemakaiannya. Pemerintah Indonesia telah mengusahakan pemanfaatn pembangkit listrik tenaga surya (PLTS) melalui berbagai kebijakan. Tulisan ini membahas optimasi kapasitas PLTS atap (rooftop) untuk sebuah rumah tangga mengacu pada kebijakan pemerintah tentang PLTS atap yang berlaku saat ini. Studi kasus dilakukan terhadap sebuah rumah dengan perkiraan beban PLN terpasang 2,2 kVA dan kebutuhan energi listrik sekitar 13 kWh/hari, yang berada di Surabaya. Energi keluaran sistemPLTS disimulasikan dengan software PVSpot dan SolarGIS. Untuk memenuhi kebutuhan listrik rumah tangga dalam studi kasus, sistem PLTS yang optimum adalah sekitar 3 kWp dengan sistem inverter yang sesuai. Energi keluaran rata-rata bulanan sistem PLTS tersebut adalah .350 kWh dengan rentang terendah dan tertinggi masing-masing 203 kWh dan 350 kWh per bulan. Energi tersebut dapat memenuhi 90% kebutuhan energi rumah yang disimulasikan. Solar energy is one of the options that can be exploited to reduce fossil-based fuel which its availability is limited and global warming impact of its use. The Government of Indonesia has been promoting solar electricity use through various policies. This paper discusses the optimum capacity of the solar rooftop PV system specifically for households based on the most recent The Government policy. A typical house with the grid capacity installed 2,2 kVA located in Surabaya is simulated. The daily energy demand of the house is about 13 kWh per day. Simulations were carried out using PVspot and SolarGIS. It is found that the optimum capacity of the rooftop PV system for the simulated house is 3 kWp with a suitable of the inverter system. The average energy output for such a system is 350 kWh per month, with minimum and maximum of 203 kWh and 350 kWh per month respectively. The system could provide 90% of electricity for the simulated household.

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An Improved Dynamic Voltage Restorer Model for Ensuring Fault Ride-Through Capability of DFIG-based Wind Turbine Systems

ELEKTRIKA- Journal of Electrical Engineering ◽

10.11113/elektrika.v19n1.205 ◽

2020 ◽

Vol 19 (1) ◽

pp. 9-16

Author(s):

Musayyibi Shuaibu ◽

Adamu Saidu Abubakar

Keyword(s):

Electricity Market ◽

Energy Demand ◽

Reactive Power ◽

Low Voltage ◽

Renewable Energy Sources ◽

Test System ◽

Dynamic Voltage Restorer ◽

Fault Ride Through ◽

Voltage Restorer ◽

Dynamic Voltage

Renewable energy sources (RES) are being integrated to electrical grid to complement the conventional sources in meeting up with global electrical energy demand. Among the RES, Wind Energy Conversion Systems (WECS) have gained global electricity market competitiveness especially the Doubly Fed Induction Generator (DFIG)-based Wind Turbines (WTs) because of flexible regulation of active and reactive power, higher power quality, variable speed operation, four quadrant converter operation and better dynamic performance. Grid connected DFIG-based WTs are prone to disturbances due to faults in the network which made the utilization of the power generated a major concern. The grid code requirement for integrating the DFIGs to grid specified that they must remain connected and support the grid stability during grid disturbances of up to 1500milliseconds. The ability of the DFIG WT system to uphold to the grid codes requirement is termed the Fault Ride – Through (FRT). This paper presented a 1.5MW grid connected DFIG-based WT model with a Dynamic Voltage Restorer (DVR) for FRT capability enhancement. The design and simulation were performed in MATLAB/Simulink software. The test system was subjected to disturbances leading to Low Voltage Ride – Through (LVRT), Zero Voltage Ride – Through (ZVRT) and High Voltage Ride – Through (HVRT) considering three – phase balanced fault and single line to ground fault. The performance of improved model of DVR shows enhancement over conventional DVR in terms of voltage compensation and fault current mitigation.

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Role of micro-hydropower plants in socio-economic development of rural Afghanistan

Journal of Sustainable Energy Revolution ◽

10.37357/1068/jser.1.1.01 ◽

2020 ◽

pp. 1-7

Author(s):

Mohammad Airaj Firdaws Sadiq ◽

Najib Rahman Sabory ◽

Mir Sayed Shah Danish ◽

Tomonobu Senjyu

Keyword(s):

Distribution System ◽

Energy Demand ◽

Economic Life ◽

Hydropower Plant ◽

Decent Work ◽

Hydropower Plants ◽

Development Goals ◽

The Government ◽

Decentralized Energy ◽

Energy Options

Afghanistan hosts the Hindu Kush, an extension of the Himalaya mountains that act as water sources for five major rivers flowing through Afghanistan. Most of these rivers provide promise for the construction of water dams and installment of micro hydropower plants (MHP). Although civil war and political strife continue to threaten the country for more than four decades, the Afghan government introduced strategic plans for the development of the country. In 2016 Afghanistan introduced the Afghanistan National Peace and Development (ANPD) Framework at Brussels de-signed to support Afghanistan’s progress towards achieving the SDGs (Sustainable Development Goals). This study discussed the 7th Goal (ensuring access to affordable, reliable, and sustainable energy for all) and 8th Goal (promoting sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all) alignment in Afghanistan. The Afghan gov-ernment acknowledges its responsibility to provide electricity for all of its citizens, but this can only be achieved if the government can secure a reliable source of energy. Afghanistan’s mountainous terrain provides a challenge to build a central energy distribution system. Therefore this study looks for alternative solutions to the energy problems in Afghanistan and explores feasibility of micro-hydropower plant installations in remote areas. This study evaluated socio-economic im-pacts of micro-hydropower plants in the life of average residents. We focused on one example of a micro hydropower plant located in Parwan, conducted interviews with local residents, and gath-ered on-site data. The findings in this study can help policymakers to analyze the effects of devel-opment projects in the social and economic life of residents. It will encourage the government and hopefully the private sector to invest in decentralized energy options, while the country is facing an ever-growing energy demand.

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A Blockchain-based Double-sided Auction Peer-to-peer Electricity Market Framework

2020 IEEE Electric Power and Energy Conference (EPEC) ◽

10.1109/epec48502.2020.9320030 ◽

2020 ◽

Author(s):

Godwin C. Okwuibe ◽

Michel Zade ◽

Peter Tzscheutschler ◽

Thomas Hamacher ◽

Ulrich Wagner

Keyword(s):

Electricity Market ◽

Peer To Peer ◽

Market Framework

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Data Analytics for Profiling Low-Voltage Customers with Smart Meter Readings

Applied Sciences ◽

10.3390/app11020500 ◽

2021 ◽

Vol 11 (2) ◽

pp. 500

Author(s):

Fabrizio Pilo ◽

Giuditta Pisano ◽

Simona Ruggeri ◽

Matteo Troncia

Keyword(s):

Energy Demand ◽

Data Analytics ◽

Distribution Systems ◽

Low Voltage ◽

Renewable Energy Sources ◽

A Priori ◽

Energy Transition ◽

Smart Meters ◽

Large Databases ◽

A New Technique

The energy transition for decarbonization requires consumers’ and producers’ active participation to give the power system the necessary flexibility to manage intermittency and non-programmability of renewable energy sources. The accurate knowledge of the energy demand of every single customer is crucial for accurately assessing their potential as flexibility providers. This topic gained terrific input from the widespread deployment of smart meters and the continuous development of data analytics and artificial intelligence. The paper proposes a new technique based on advanced data analytics to analyze the data registered by smart meters to associate to each customer a typical load profile (LP). Different LPs are assigned to low voltage (LV) customers belonging to nominal homogeneous category for overcoming the inaccuracy due to non-existent coincident peaks, arising by the common use of a unique LP per category. The proposed methodology, starting from two large databases, constituted by tens of thousands of customers of different categories, clusters their consumption profiles to define new representative LPs, without a priori preferring a specific clustering technique but using that one that provides better results. The paper also proposes a method for associating the proper LP to new or not monitored customers, considering only few features easily available for the distribution systems operator (DSO).

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Credible Peer-to-Peer Trading with Double-Layer Energy Blockchain Network in Distributed Electricity Markets

Electronics ◽

10.3390/electronics10151815 ◽

2021 ◽

Vol 10 (15) ◽

pp. 1815

Author(s):

Longze Wang ◽

Yu Xie ◽

Delong Zhang ◽

Jinxin Liu ◽

Siyu Jiang ◽

...

Keyword(s):

Double Layer ◽

Electricity Markets ◽

Electricity Market ◽

Peer To Peer ◽

Malicious Nodes ◽

Energy Trading ◽

Contract Performance ◽

Trading Model ◽

Consensus Information ◽

Available Information

Blockchain-based peer-to-peer (P2P) energy trading is one of the most viable solutions to incentivize prosumers in distributed electricity markets. However, P2P energy trading through an open-end blockchain network is not conducive to mutual credit and the privacy protection of stakeholders. Therefore, improving the credibility of P2P energy trading is an urgent problem for distributed electricity markets. In this paper, a novel double-layer energy blockchain network is proposed that stores private trading data separately from publicly available information. This blockchain network is based on optimized cross-chain interoperability technology and fully considers the special attributes of energy trading. Firstly, an optimized ring mapping encryption algorithm is designed to resist malicious nodes. Secondly, a consensus verification subgroup is built according to contract performance, consensus participation and trading enthusiasm. This subgroup verifies the consensus information through the credit-threshold digital signature. Thirdly, an energy trading model is embedded in the blockchain network, featuring dynamic bidding and credit incentives. Finally, the Erenhot distributed electricity market in China is utilized for example analysis, which demonstrates the proposed method could improve the credibility of P2P trading and realize effective supervision.

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