A Generalized Approach for DG Planning and Viability Analysis Under Market Scenario

Jain, Naveen; Singh, S. N.; Srivastava, Suresh C.

doi:10.1109/tie.2012.2219840

Cited by 90 publications

(39 citation statements)

References 36 publications

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“…They typically utilize DERs, including distributed generation units [20] and energy storage facilities [21], for meeting local demands. Thus, they can reduce reliance on the conventional centralized power grid (also called macrogrid or main grid in the literature of power systems) that typically uses large central-station generation.…”

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confidence: 99%

Distributed Energy Trading in Microgrids: A Game-Theoretic Model and Its Equilibrium Analysis

Lee

Guo

Choi

et al. 2015

IEEE Trans. Ind. Electron.

351

203

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This paper proposes a distributed mechanism for energy trading among microgrids in a competitive market. We consider multiple interconnected microgrids in a region where, at a given time, some microgrids have superfluous energy for sale, or to keep in storage facilities, whereas some other microgrids wish to buy additional energy to meet local demands and/or storage requirements. Under our approach, the sellers lead the competition by independently deciding the amount of energy for sale subject to a trade-off between the attained satisfaction from the received revenue and that from the stored energy. The buyers follow the sellers' actions by independently submitting a unit price bid to the sellers. Correspondingly, the energy is allocated to the buyers in proportion to their bids, while the revenue is allocated to the sellers in proportion to their sales. We study the economic benefits of such an energy trading mechanism by analyzing its hierarchical decision-making scheme as a multi-leader multi-follower Stackelberg game. We show that distributing the energy based on a well-defined utility function converges to a unique equilibrium solution for maximizing the payoff of all participating microgrids. This game-theoretic study provides an incentive for energy trading among microgrids in the future power grid.

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mentioning

confidence: 99%

Distributed Energy Trading in Microgrids: A Game-Theoretic Model and Its Equilibrium Analysis

Lee

Guo

Choi

et al. 2015

IEEE Trans. Ind. Electron.

351

203

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“…It is worth noting that the optimal size and location of DG units obtained for power loss minimization using the proposed method are in close agreement with the results of recently published methods such as heuristic [120], PSO [30,122], SA [28], ABC [32], MTLBO [33], HSA [34]. …”

Section: Voltage Profilessupporting

confidence: 84%

Smart integration of distributed renewable generation and battery energy storage

Hung¹

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Renewable energy (i.e., biomass, wind and solar) and Battery Energy Storage (BES) are emerging as sustainable solutions for electricity generation. In the last decade, the smart grid has been introduced to accommodate high penetration of such renewable resources and make the power grid more efficient, reliable and resilient. The smart grid is formulated as a combination of power systems, telecommunication communication and information technology. As an integral part of the smart grid, a smart integration approach is presented in this thesis. The main idea behind the smart integration is locating, sizing and operating renewable-based Distributed Generation (DG) resources and associated BES units in distribution networks strategically by considering various technical, economical and environmental issues. Hence, the aim of the thesis is to develop methodologies for strategic planning and operations of high renewable DG penetration along with an efficient usage of BES units.The first contribution of the thesis is to present three alternative analytical expressions to identify the location, size and power factor of a single DG unit with a goal of minimising power losses. These expressions are easily adapted to accommodate different types of renewable DG units for minimizing energy losses by considering the time-varying demand and different operating conditions of DG units. Both dispatchable and nondispatchable renewable DG units are investigated in the study. Secondly, a methodology is also introduced in the thesis for the integration of multiple dispatchable biomass and nondispatchable wind units. The concept behind this methodology is that each nondispatchable wind unit is converted into a dispatchable source by adding a biomass unit with sufficient capacity to retain the energy loss at a minimum level. Thirdly, the thesis studies the determination of nondispatchable photovoltaic (PV) penetration into distribution systems while considering time-varying voltage-dependent load models and probabilistic generation. The system loads are classified as an industrial, commercial or residential type or a mix of them with different normalised daily patterns. The Beta probability density function model is used to describe the probabilistic nature of solar irradiance. An analytical expression is proposed to size a PV unit. This expression is based on the derivation of a multiobjective index (IMO) that is formulated as a combination of iii three indices, namely active power loss, reactive power loss and voltage deviation. The IMO is minimised in determining the optimal size and power factor of a PV unit. Fourthly, the thesis discusses the integration of PV and BES units considering optimal power dispatch. In this work, each nondispatchable PV unit is converted into a dispatchable source by adding a BES unit with sufficient capacity. An analytical expression is proposed to determine the optimal size and power factor of PV and BES units for reducing energy losses and enhancing voltage stability. A self-correction algorith...

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“…The resource management problem has been widely researched in demand response, economic generation dispatch, and loss minimization with analytical methods [11], [12] or heuristic methods [13], [14]. These centralized methods work effectively for conventional power systems.…”

Section: Introductionmentioning

confidence: 99%

Distributed Agent Consensus-Based Optimal Resource Management for Microgrids

Zhao

Ding

2018

IEEE Trans. Sustain. Energy

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Abstract-This paper considers the optimal resource management problem for microgrids. Microgrids provide a promising approach to fulfil challenges of the integration of distributed renewable generations and energy storage systems. However, the resource management in a microgrid encounters the new difficulty, i.e. supply-demand imbalance, caused by the intermittence of renewable sources. Therefore, an optimal solution is proposed to the resource management by enhancing the communication and coordination under a multi-agent system framework. An agent is a participant, for instance, the distributed renewable generator/energy storage system of the microgrid. With this multi-agent system, the distributed optimal solution only utilizes the local information, and interacts with the neighbouring agents. Thus, single-node congestion is avoided since the requirement for a central control centre is eliminated, and it is robust against single-link/node failures. The analysis will show that the proposed solution can solve the resource management problem in an initialization-free manner. Additionally, the proposed strategy can maintain the supply-demand balance under a time-varying supply-demand deviation. The simulation studies are carried out for IEEE 14-bus and 162-bus power systems to validate the effectiveness of the proposed distributed solution.

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A Generalized Approach for DG Planning and Viability Analysis Under Market Scenario

Cited by 90 publications

References 36 publications

Distributed Energy Trading in Microgrids: A Game-Theoretic Model and Its Equilibrium Analysis

Distributed Energy Trading in Microgrids: A Game-Theoretic Model and Its Equilibrium Analysis

Smart integration of distributed renewable generation and battery energy storage

Distributed Agent Consensus-Based Optimal Resource Management for Microgrids

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