A Leader–Follower Game on Congestion Management in Power Systems

Salehizadeh, Mohammad Reza; Rahimi-Kian, Ashkan; Hausken, Kjell

doi:10.1007/978-3-319-13009-5_4

Cited by 9 publications

(6 citation statements)

References 45 publications

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“…Changes in the power flow pattern and the increasing uncertainty are two primary results of utilising REPPs, which affects network congestion. From the perspective of long‐term planning, the congestion management problem is affected by variations in the power flow pattern [1–6]. On the other hand, regarding the short‐term operation, increasing uncertainty related to REPPs affects the congestion management problem [7–11].…”

Section: Introductionmentioning

confidence: 99%

Structural and behavioural evaluation of renewable energy power plants' impacts on transmission network congestion using an analytical approach

Jaghargh

Mashhadi

2020

IET Renewable Power Generation

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Renewable energy support schemes implementation increases the significance of renewable energy power plants (REPPs) in studying power market characteristics. In this study, an analytical approach is presented to investigate the impact of REPPs on transmission lines congestion. For this purpose, considering REPPs, social welfare maximisation problem corresponding to the spot electricity market should be solved by the independent system operator. A closed-form expression of the Lagrange multiplier (LM) of each congested line is presented to analytically demonstrate the role of the power system structure and strategic behaviour of conventional generation companies (GenCos) on the network congestion. The structural part of LM expression is decomposed into four components to distinguish the impact of GenCos from the impact of REPPs. The GenCos' strategic behaviour in the spot market bidding problem is simulated using well-known Q-Learning algorithm. The results confirm that REPPs deployment can remarkably affect both the structural and behavioural parts of the LM and emphasise the significance of the GenCos strategic behaviour on the occurrence of congestion. The results illustrate that since renewable energy support schemes may increase the possibility of congestion and GenCos' strategic behaviour, it is essential to take power system characteristics into account in their design. α rate of learning for the QL algorithm γ importance of future reward for the QL algorithm r t reward at the step t for the QL algorithm ε amount of research for the QL algorithm

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Section: Introductionmentioning

confidence: 99%

Structural and behavioural evaluation of renewable energy power plants' impacts on transmission network congestion using an analytical approach

Jaghargh

Mashhadi

2020

IET Renewable Power Generation

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“…In this regard, effective control approaches play a very important role to maintain frequency within its acceptable range with less oscillation. The goal of designing loadfrequency controller is to decrease frequency oscillation and damping of the disturbance in frequency from the viewpoint of domain or time in the normal operation and the case of disturbance [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

An Optimal Approach for Load-Frequency Control of Islanded Microgrids Based on Nonlinear Model

Jamshidi

Salehizadeh

Gholami

et al. 2020

Advances in Intelligent Systems and Computing

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“…Electricity usualy takes a high part of about 25% to 45% of total energy consumption. Finding the optimum structure for a power system in a competitive market with many constraints of transmission lines, the rules of the market constitute a multiresearched topic [4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Green Scenarios for Power Generation in Vietnam by 2030

Nguyen

et al. 2019

Eng. Technol. Appl. Sci. Res.

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Energy for future sustainable economic development is considered one crucial issue in Vietnam. This article aims to investigate green scenarios for power generation in Vietnam by 2030. Four scenarios named as business as usual (BAU), low green (LG), high green (HG) and crisis have been proposed for power generation in Vietnam with projection to 2030. Three key factors have been selected for these scenarios, namely: (1) future fuel prices, (2) reduction of load demand caused by the penetration of LED technology and rooftop photovoltaic (PV) systems, and (3) the introduction of power generation from renewable sources. The least costly structure of power generation system has been found. CO2 emission reduction of HG in comparison to the BAU scenario and its effect on generation cost reduction are computed. Results show that BAU is the worst scenario in terms of CO2 emissions because of the higher proportion of power generation from coal and fossil fuels. LG and HG scenarios show their positive impacts both on CO2 emissions and cost reduction. HG is defined as the greenest scenario by its maximum potential on CO2 emission reduction (~146.92Mt CO2) in 2030. Additionally, selling mitigated CO2can make green scenarios more competitive to BAU and Crisis in terms of cost. Two ranges of generation cost (4.3-5.5 and 6.0-7.7US$cent/kWh) have been calculated and released in correspondence with low and high fuel price scenarios in the future. Using LED lamps and increasing the installed capacity of rooftop PVs may help reduce electric load demand. Along with the high contribution of renewable sources will make the HG scenario become more attractive both in environmental and economic aspects when the Crisis scenario comes. Generation costs of all scenarios shall become cheap enough for promoting economic development in Vietnam by 2030.

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A Leader–Follower Game on Congestion Management in Power Systems

Cited by 9 publications

References 45 publications

Structural and behavioural evaluation of renewable energy power plants' impacts on transmission network congestion using an analytical approach

Structural and behavioural evaluation of renewable energy power plants' impacts on transmission network congestion using an analytical approach

An Optimal Approach for Load-Frequency Control of Islanded Microgrids Based on Nonlinear Model

Green Scenarios for Power Generation in Vietnam by 2030

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