Operation optimization of a distributed energy system considering energy costs and exergy efficiency

Somma, Marialaura Di; Yan, Bing; Bianco, Nicola; Graditi, Giorgio; Luh, Peter B.; Mongibello, Luigi; Naso, Vincenzo

doi:10.1016/j.enconman.2015.07.009

Cited by 179 publications

(62 citation statements)

References 42 publications

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“…Reducing our dependency on thermal power generation based on fossil fuel and introducing renewables-based distributed energy resources (DERs), such as photovoltaic (PV) cells, wind turbines and batteries, into our residential areas will change our total electric power systems in the future [7]. Various operation, optimization and management methods for distributed energy systems have been studied in the context of smart grids [8][9][10][11][12]. Originally, the domain of smart grids was an interdisciplinary research field involving power electronics, information science, control theory and economics [3,13,14].…”

Section: Prosumers' Decentralized Smart Gridmentioning

confidence: 99%

Convergent Double Auction Mechanism for a Prosumers’ Decentralized Smart Grid

et al. 2015

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Abstract:In this paper, we propose a novel automated double auction mechanism called convergent linear function submission-based double-auction (CLFS-DA) for a prosumers' decentralized smart grid. The target decentralized smart grid is a regional electricity network that consists of many prosumers that have a battery and a renewable energy-based generator, such as photovoltaic cells. In the proposed double-auction mechanism, each intelligent software agent representing each prosumer submits linear demand and supply functions to an automated regional electricity market where they are registered. It is proven that the CLFS-DA mechanism is guaranteed to obtain one of the global optimal price profiles in addition to it achieving an exact balance between demand and supply, even through the learning period. The proof of convergence is provided on the basis of the theory of LFS-DA, which gives a clear bridge between a function submission-based double auction and a dual decomposition (DD)-based real-time pricing procedure. The performance of the proposed mechanism is demonstrated numerically through a simulation experiment.

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Section: Prosumers' Decentralized Smart Gridmentioning

confidence: 99%

Convergent Double Auction Mechanism for a Prosumers’ Decentralized Smart Grid

et al. 2015

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“…Among the various types of renewable energy sources (RESs), solar and wind energies are the most promising sources. Recently, the use of RESs in the form of distributed generators (DGs) and distributed energy systems (DESs) [1] has increased with the aim of an environmentally-friendly society. Moreover, these DGs can supply energy in an isolated situation [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Optimal Operation Method for Distribution Systems Considering Distributed Generators Imparted with Reactive Power Incentive

et al. 2018

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Featured Application: The incentive method with flexible contribution functions can be applied to demand response by the reactive power market and distribution company, which has the possibility to reduce the additional installation of distribution control equipment and battery capacity. It also leads to the reduction of total electricity purchase cost of consumers, and the power system can achieve high mixing of renewable energy in the grid with the reactive power incentive demand response and the IoT development. Furthermore, reliability assessment of cooperative control with the participation rate will give an important contribution to the robust design of the system. Abstract: In order to solve urgent energy and environmental problems, it is essential to carry out high installation of distributed generation using renewable energy sources (RESs) and environmentally-friendly storage technologies. However, a high penetration of RESs usually leads to a conventional power system unreliability, instability and low power quality. Therefore, this paper proposes a reactive power control method based on the demand response (DR) program to achieve a safe, reliable and stable power system. This program does not enforce a change in the active power usage of the customer, but provides a reactive power incentive to customers who participate in the cooperative control of the distribution company (DisCo). Customers can achieve a reduction in their total energy purchase by gaining a reactive power incentive, whilst the DisCo can achieve a reduction of its total procurement of equipment and distribution losses. An optimal control schedule is calculated using the particle swarm optimization (PSO) method, and also in order to avoid over-control, a modified scheduling method that is a dual scheduling method has been adopted in this paper. The effectiveness of the proposed method was verified by numerical simulation. Then, simulation results have been analyzed by case studies.

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“…The multi-criteria decision-making approaches above are both objective and subjective; the subjectivity of the index weights may lead to inaccurate evaluation results. Di Somma [21] formulated a multi-objective linear programming model to research the operation optimization of a Distributed Energy System (DES).…”

Section: Introductionmentioning

confidence: 99%

Integrated Evaluation Method-Based Technical and Economic Factors for International Oil Exploration Projects

et al. 2016

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Abstract:Optimizing international oil exploration projects is one of the main challenges for oil companies in obtaining investment benefits. This paper establishes an integrated evaluation model to maximize investment benefits within the constraints of technical and economic factors, including geological factors, resource quality, geographic conditions, the investment environment, and oil contracts. The paper also proposes a dynamic calculation method of indicators' weight associated with oil prices. The analysis describes the effects of contract terms and the investment environment on project value and quantifies the contractor income ratio for different types of contracts and the investment environment of the host country. Oil exploration projects in Africa are illustrated as examples in which the evaluation indicator Adjusted Concept Reserves (ACR) is calculated for each project. The results show that remaining recoverable reserves and contract terms exert tremendous influences on ACR, and remaining recoverable reserves is the essential factor. Simultaneously, changes in oil prices lead to various rates of change in the contractor income ratio, which is determined by different fiscal terms. This study is important in helping oil companies optimize international oil projects and design reasonable investment strategies.

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Operation optimization of a distributed energy system considering energy costs and exergy efficiency

Cited by 179 publications

References 42 publications

Convergent Double Auction Mechanism for a Prosumers’ Decentralized Smart Grid

Convergent Double Auction Mechanism for a Prosumers’ Decentralized Smart Grid

Optimal Operation Method for Distribution Systems Considering Distributed Generators Imparted with Reactive Power Incentive

Integrated Evaluation Method-Based Technical and Economic Factors for International Oil Exploration Projects

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