A novel hybrid algorithm for rescheduling-based congestion management scheme in power system

Srivastava, Jyoti; Yadav, Naresh Kumar; Sharma, Arvind Kumar

doi:10.1007/s00202-020-00985-w

Cited by 6 publications

(7 citation statements)

References 37 publications

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“…CM with secure bilateral transaction needs to be achieved with respect to the equality and inequality operational constraints in the system. 37 Thus, the overall problem is formulated as a constrained minimization function as per Equation (3). Let ΔP i : 0 ≤ i ≤ N h be regarded as the power change that needs to be rescheduled for the cost of C ΔP i ð Þ in $ for ith generation unit.…”

Section: Problem Formulation On CMmentioning

confidence: 99%

“…The active power output of the generator can be rescheduled in such a way that the congestion cost can be mitigated. 37 Typically, in the generators, the rescheduling is accomplished by maximizing or minimizing the active power output. The cost of congestion is nothing but the rescheduling cost as given in Equation (12).…”

Section: Congestion Costmentioning

confidence: 99%

“…The bus system's generation limits and the cost coefficients of the IEEE 14 bus system with 6 GENCOs and IEEE 30 bus system with 6 GENCOs are tabulated in Tables 3 and 4, respectively. Finally, comparative evaluation is carried out between LA-MM over the existing models like PSO, 38 FF, 39 GWO, 40 ROA, 41 WWO, 42 and RU-PSO 37 in terms of Compensation Cost, Compensation Cost, and Total Fitness.…”

Section: Algorithm 1 Proposed La-mm Algorithmmentioning

confidence: 99%

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Rescheduling‐based congestion management by metaheuristic algorithm: Hybridizing lion and moth search models

Srivastava¹,

Yadav

2021

Int J Numerical Modelling

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Congestion management (CM) is becoming a challenging task in the power system due to the increase in the system complexities in the deregulated environment. The congestion causes grave damage to the power system components if the outages tend to occur more frequently. Hence, in the present power system scenario, CM is a complex task of an independent system operator (ISO). This proposal intends to introduce a novel optimization-based CM model with advanced soft computing techniques. A new hybrid algorithm is introduced in this paper, which optimizes the generating power of added generators with the bus system. Thereby manages the congestion with minimized rescheduling cost. The proposed optimization algorithm termed Lion Algorithm with Moth-based Mutation (LA-MM) hybridizes the concepts of both Lion Algorithm (LA) and Moth Search Algorithm (MS). Subsequently, the experimentation is conducted in two test bus systems like IEEE 14 and 30 bus systems. The performance of the proposed model is compared over other stateof-the-art models concerning cost analysis and convergence analysis, respectively.

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Section: Problem Formulation On CMmentioning

confidence: 99%

Section: Congestion Costmentioning

confidence: 99%

Section: Algorithm 1 Proposed La-mm Algorithmmentioning

confidence: 99%

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Rescheduling‐based congestion management by metaheuristic algorithm: Hybridizing lion and moth search models

Srivastava¹,

Yadav

2021

Int J Numerical Modelling

Self Cite

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“…In numerous studies, several techniques were developed to solve the CM issue [6]. The basic techniques used to alleviate the congestion which includes the generator power outcomes rescheduling, presenting reactive power aid as well as limiting load transactions/demands.…”

Section: Introductionmentioning

confidence: 99%

A Novel World Horse Optimizer Algorithm for Rescheduling based Congestion Management

2021

JCMPS

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In a power system, Congestion Management is considered a demanding task because of maximizing the complexities of the system in a deregulated environment. The congestion reasons severe damage to modules of the power system if outages lead to take place additional regularly. Therefore, Congestion Management is a complicated task for an Independent System Operator (ISO) in the present case of the power system. This paper presents a proposal for a new optimization-based Congestion Management approach with a developed soft computing model. In this work, a novel hybrid approach is developed that clearly optimizes the power of the augmented generator with a bus system. Thus, the congestion is managed with a reduced cost of rescheduling. The adopted optimization approach is called Wild Horse Optimizer (WHO). Then, the simulation is performed on two test bus systems such as IEEE 14 as well as 30 bus systems. The adopted approach performance is evaluated with conventional techniques regarding the cost analysis.

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“…Henceforth, an effective congestion management scheme is necessary. There exists several congestion management schemes which are generation rescheduling, 1,2 load curtailment, 3,4 implementation of FACTS devices, 5,6 distributed generations and energy storage devices, 7 and so on. The implementation of such schemes suitable for different competitive market structures are discussed in References 8‐10.…”

Section: Introductionmentioning

confidence: 99%

Bid responsive generation rescheduling for congestion management in electricity market

Sarwar

Siddiqui

Jaffery

et al. 2020

Engineering Reports

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Electricity market economics is one of the vital factors which play a key role in achieving the efficient operation of the power system. Economic operation along with secure & reliable operation is must for ensuring optimum utilization of the resources in order to maximize social welfare. This article presents a method for achieving economic operation of electricity market in case of congestion occurring in the system. The generator sensitivity (GS) method alone can manage the system congestion, however it does not consider the economic benefits which can be achieved by considering the bids submitted by the generators and as a result it leads to situation of market power. To avoid such scenario, bid sensitivity factor (BSF) is proposed to select the generators to participate and regulate their real power generation for alleviating congestion from the system optimally. The BSF takes into account the GS as well as bids of the generators.In this paper, the effectiveness of the proposed method in eliminating market power is realized by changing the bids of the generators. The proposed method is tested on IEEE 30-bus system and IEEE 118-bus system. The obtained results show an encouraging pattern for managing the congestion more optimally and economically.

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A novel hybrid algorithm for rescheduling-based congestion management scheme in power system

Cited by 6 publications

References 37 publications

Rescheduling‐based congestion management by metaheuristic algorithm: Hybridizing lion and moth search models

Rescheduling‐based congestion management by metaheuristic algorithm: Hybridizing lion and moth search models

A Novel World Horse Optimizer Algorithm for Rescheduling based Congestion Management

Bid responsive generation rescheduling for congestion management in electricity market

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