A review on market power in deregulated electricity market

Shanmugam, Prabhakar Karthikeyan; Raglend, I. Jacob; Kothari, D.P.

doi:10.1016/j.ijepes.2012.11.024

Cited by 117 publications

(37 citation statements)

References 55 publications

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“…With power system deregulation comes the introduction of energy auction market and hourly energy bidding in real-time power system operation [18]. The market players are connected to the power system control hub to place bids and enter into energy delivery contracts under the monitoring of the ISO, who acts as the transaction evaluator.…”

Section: Electricity Market Deregulation and Available Transfer Capacmentioning

confidence: 99%

“…The critical transactions, corresponding ATC limiting lines, CBI and CBI limiting line are presented in Table 5. The most critical transactions is T32 (12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24) with the least ATC value of 0.0099 MW, the ATC limiting line is L62 (B48-B49), and the minimum CBI value is 0.1136 pu (11.36 MW) for the CBI limiting line L36 (B24-B25). The optimization procedure is initiated for the simultaneous maximization of the least ATC and least CBI using the weighted sum approach using TVAC-PSO and the convergence characteristics is shown in Figure 8.…”

Section: Ieee 57 Bus Systemmentioning

confidence: 99%

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Voltage Security-Constrained Optimal Generation Rescheduling for Available Transfer Capacity Enhancement in Deregulated Electricity Markets

et al. 2019

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Modern utilities are forced to operate very close to their loadable limits (maximum capacity) due to geographical, economical and some technical reasons. The deregulation of the power industry, the competitive nature of modern electricity markets and the continuous quest for modernization of cities and hamlets all over the world has also led to fast increase in the load demand. The stability of power systems all over the world are threatened with recurrent occurrences of voltage stability issues. Hence, Inter-zonal energy transactions between willing supplier and buyers need to be done with adequate consideration for power system security. In this work, a voltage security-constrained optimal generator active and reactive power rescheduling is carried out using the IEEE 30 and IEEE 57 bus systems. The simultaneous maximization of available transfer capacity (ATC) and voltage stability margin (VSM), using the weighted sum approach, is the objective function. Credible optimal power flow and power system security constraints are considered. Three variants of particle swarm optimization in MATLAB® are used in this work for analyzing the results for objectivity. The technical and economic benefits of the optimal generator rescheduling on the system’s ATC, VSM, line losses, line flow and voltage profile are adequately analyzed.

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Section: Electricity Market Deregulation and Available Transfer Capacmentioning

confidence: 99%

Section: Ieee 57 Bus Systemmentioning

confidence: 99%

Voltage Security-Constrained Optimal Generation Rescheduling for Available Transfer Capacity Enhancement in Deregulated Electricity Markets

et al. 2019

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“…Since the International Energy Agency's (IEA's) strategic plan for DSM states that “demand side activities should be active elements and the first choice in all energy policy decisions designed to create more reliable and more sustainable energy systems,” these resources are considered as a viable option in the capacity market. DSM resources have many benefits related to industrial applications, residential sectors, smart grids and transmission networks, reduction in electricity and reliability costs, and transmission congestion and pollution relief …”

Section: Introductionmentioning

confidence: 99%

Modeling of retailer's behavior for participation in the capacity market

Jalili

Eslami

Moghaddam

et al. 2019

Int Trans Electr Energ Syst

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Summary Due to economic reasons, only way for demand side management resources participation in capacity market is their participation by load serving entities, energy service companies, or retailers. To achieve the optimal participation of retailers in the capacity market, it is crucial to model the effective parameters in retailers’ behavior model and how they trade with the independent system operator and the consumers. So a novel method is proposed in this paper for modeling retailers’ behavior, considering demand side management resources availability for their participation in long term commitments. The capacity product of the retailer and its behavior are comprehensively modeled to trade in the capacity market. The competition of retailers is also considered and its effects on the profit of the retailer and consumers are analyzed. A genetic algorithm has been used to solve this problem due to its ability for solving large‐scale real nonlinear Non‐deterministic Polynomial‐time hard (NP‐hard) optimization problems.

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“…It includes choosing an apt auction strategy for the electricity, relieving market hour of the participants, troubling transmission congestion, related locational price spikes, dependability of maintaining system, efficiency of market, and equilibrium in assessing market [2].…”

Section: Introductionmentioning

confidence: 99%

Mitigating Congestion in a Power System and Role of FACTS Devices

Gupta

Kumar

Banerjee

et al. 2017

Advances in Electrical Engineering

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Congestion management refers to avoiding or relieving congestion. In transmission lines, congestion management is one of the most important issues for the reliable operation of power system in the deregulated environment. Restructuring has brought considerable changes in all possible domains including electric supply industry. By virtue of restructuring, electricity has now become a commodity and has converted into a deregulated one. The traditional regulated power system has now become a competitive power market. In the present scenario, the real time transmission congestion is the operating condition in which the transfer capability to implement all the traded transactions simultaneously is not enough due to either some expected contingencies or market settlement. Thus, congestion is associated with one or more violations of the physical, operational, and policy constraints under which grids operate. Thus, congestion management is about managing the power transmission and distribution among valuable consumers priority-wise. Placement of FACTS (Flexible Alternating Current Transmission System) devices for generation rescheduling and load-shedding play a crucial role in congestion management. FACTS devices are used to enhance the maximum load ability of the transmission system. FACTS increases the flexibility of power system, makes it more controllable, and allows utilization of existing network closer to its thermal loading capacity without jeopardizing the stability. FACTS technology can boost the transfer capability in stability limited systems by 20-30%. As a result, more power can reach consumers with a shorter project implementation time and a lower investment cost. This review work unites the various publications on congestion management in past few decades.

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A review on market power in deregulated electricity market

Cited by 117 publications

References 55 publications

Voltage Security-Constrained Optimal Generation Rescheduling for Available Transfer Capacity Enhancement in Deregulated Electricity Markets

Voltage Security-Constrained Optimal Generation Rescheduling for Available Transfer Capacity Enhancement in Deregulated Electricity Markets

Modeling of retailer's behavior for participation in the capacity market

Mitigating Congestion in a Power System and Role of FACTS Devices

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