S L Arun
Bio: S L Arun is an academic researcher from Sree Vidyanikethan Engineering College. The author has contributed to research in topics: Smart grid & Supply and demand. The author has an hindex of 1, co-authored 1 publications receiving 4 citations.
••01 Dec 2018
TL;DR: In this article, a prosumer based demand response algorithm under real time pricing environment is proposed to improve the savings in electricity bill by optimally choosing the operational timing of household appliances with due consideration to user's desire and interest, intermittency in renewable power generation and utility dynamics.
Abstract: Recent advancements in electric power sector increase the interest on smart grid technologies. In various smart grid techniques, demand side management is commonly preferred by many utilities to maintain the supply demand balance. Further, utilities motivate the end users to take part in energy society through demand response programme. Recently, government encourages the residential consumers to install small scale renewable power generation units to build self-sustainability as well as support the grid by exporting their excess generation to grid. Such users are referred to as prosumers. In this paper, a prosumer based demand response algorithm under real time pricing environment is proposed to improve the savings in electricity bill by optimally choosing the operational timing of household appliances with due consideration to user's desire and interest, intermittency in renewable power generation and utility dynamics.
01 Dec 2019
TL;DR: In this article, a multi-agent-based framework for peer-to-peer power trading in a locality electricity market (LEM) for self-interested smart residential prosumers is proposed.
Abstract: This study proposes a multi-agent-based framework for Peer-to-Peer (P2P) power trading in a locality electricity market (LEM) for self-interested smart residential prosumers. In LEM, prosumers may sell (buy) their excess generation (demand) at a profitable market prices compared to utility prices to achieve a win–win outcome. In LEM, three agents namely locality electricity trading system (LETS), utility and prosumer act together to achieve P2P power trading in a day-ahead market. LETS computes the internal market prices employing any one of the market-clearing mechanisms and broadcasts it to the prosumers. Prosumers optimise the generation-demand schedule for the next day using residential energy management and trading system to achieve minimum electricity bill. The performance of the proposed framework is validated through different case studies on a residential locality with ten prosumers. The simulation is carried out using MATLAB parallel computation tool box and the load data is collected from the residential locality of National Institute of Technology Tiruchirappalli, India. It is evident from the simulation results that all the participants are economically benefited by P2P power trading. It is also found that the SDR mechanism in P2P outperforms and reduces the locality electricity bill by 27–68% under different operating conditions.
01 Jun 2019
TL;DR: In this paper, the authors present an extended critical survey of energy policies to motivate a thoughtful reconsideration of current schemes for the economic integration of prosumers in the energy system, and support the preferred scenario in which prosumers remain connected to the grid.
Abstract: The accessibility and reducing cost of distributed renewable energy sources are stimulating the emergence of small-scale residential prosumers who can produce and consume electricity. This may lead to various scenarios. Such prosumers may increase the uncertainty of consumption behavior, reduce consumption from the grid, and eventually disconnect from the grid. However, they may remain connected, and their energy potential can provide flexibility for the overall system. Current policy in some jurisdictions promotes disconnection through tax increases, grid charges, and other non-commodity costs. In particular, in Ontario (Canada) only 8.7% of the typical electricity bill covers the cost of energy and power; the remainder subsidizes governmental energy-procurement contracts, compensates the grid, pays for environmental initiatives, and covers other taxes. The situation is aggravated by a lack of a global vision for the energy system and of coordinated actions to achieve this vision. We support the preferred scenario in which prosumers remain connected to the grid. As an alternative to Ontario's current attempts to artificially slow the increase in electricity prices, we present an extended critical survey of energy policies to motivate a thoughtful reconsideration of current schemes for the economic integration of prosumers in the energy system.
30 Oct 2020
TL;DR: In this article, a framework of transactive energy marketplace (TEM) in a community microgrid with multiple prosumers as market participants for facilitating peer-to-peer (P2P) energy trading with demand response consideration is presented.
Abstract: This paper presents a framework of transactive energy marketplace (TEM) in a community microgrid with multiple prosumers as market participants for facilitating peer-to-peer (P2P) energy trading with demand response consideration The internal market prices are determined using generation-to-demand ratio with the help of transactive energy market operator (TEMO) The TEMO is a non-profited retail energy manager that aims to enable prosumers to participate in the TEM, and to sustain equilibrium between community generation and demand The participants in TEM are encouraged to trade their net demand with the neighborhood besides the upstream utility The interactions between TEMO and prosumers are modeled with the game-theory The optimal time slots for the schedulable loads of the prosumers in TEM are obtained using genetic algorithm while optimizing the energy bills With the presented system, the reduction in the community energy bills is in the range of 18-52% in the P2P marketplace compared to conventional peer-to-grid (P2G) marketplace under different scenarios
TL;DR: In this article , a review of energy management schemes for smart homes integrated with renewable energy resources in the context of the COVID-19 pandemic is presented, where the strengths and limitations of different energy scheduling controllers and optimization techniques are analyzed and compared.
TL;DR: In this article , the main perspectives of energy market models with demand-side management actions considering the prosumer design are presented, and the main market models comprising DR programs to assess opportunities in prosumers' decision-making with the help of optimization tools.