Minimum emissions optimal power flow in wind-thermal power system using Opposition based Bacterial Dynamics algorithm

Reddy, S. Surender; Momoh, James A.

doi:10.1109/pesgm.2016.7741635

Cited by 12 publications

(8 citation statements)

References 17 publications

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“…Neste caso os autores tinham como objetivo minimizar os custos da geração atendendo a uma certa demanda do sistema, neste trabalho também minimizamos os custos de geração, mas o atendimento da demandaé feita por barra, por considerar os fluxos de potência ativa e reativa nas restrições do problema. A FDPW tambémé utilizada em [10], neste caso os autores calculam os custos de geração termelétrica e eólica inserindo no modelo de FPO uma restrição de desigualdade com um custo máximo, tendo como função objetivo a minimização das emissões de poluentes. Outra diferença para este trabalhoé que os autores adicionam uma restrição para a potência ativa eólica com um limite máximo, além da restrição de potência ativa das termelétricas.…”

Section: O Modelo De Fpopunclassified

“…Em [10]é proposto um modelo de FPO com sistema térmico-eólico, com o objetivo de minimizar a emissão de poluentes na atmosfera, os custos da geração convencional e eólica são inseridos como restrição do problema, com um limitante superior para esses. Os autores também utilizam a transformação da FDPW proposta em [9] no cálculo da geração e na determinação dos custos.…”

Section: Introductionunclassified

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Um método de pontos interiores/exteriores aplicado ao problema de fluxo de potência ótimo para um sistema térmico-eólico

Souza¹,

Balbo²,

Nepomuceno³

2019

C.Q.D.

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Section: O Modelo De Fpopunclassified

Section: Introductionunclassified

Um método de pontos interiores/exteriores aplicado ao problema de fluxo de potência ótimo para um sistema térmico-eólico

Souza¹,

Balbo²,

Nepomuceno³

2019

C.Q.D.

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show abstract

“…After that an opposite associated bacterium is generated by moving the primary bacterium in the same dimension, but in the opposite direction to that of associated bacterium [24]. For the detailed description of OBDA, the reader may refer [25].…”

Section: Opposition Based Bacterial Dynamics Algorithm (Obda)mentioning

confidence: 99%

Optimal Placement of FACTS Controllers for Congestion Management in the Deregulated Power System

Reddy¹

2018

IJECE

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This paper proposes a methodology to determine the optimal location of Flexible AC Transmission System (FACTS) controllers for Congestion Management (CM) in the restructured electrical power system. An approach to find the optimum placement of Thyristor Controlled Phase Angle Regulators (TCPAR) and Thyristor Controlled Series Compensators (TCSC) has been proposed in this paper. The proposed methodology is based on the sensitivity of transmission loss which a controller is installed. The total system losses and the power flows are considered as the performance indices. The traditional optimal power flow (OPF) problem is modified to include the market players, who will compete and trade simultaneously, ensuring the system operation stays within the security limits. In this paper, pool and bilateral contracts are considered. Here, an integrated methodology is proposed that includes the FACTS Controllers in a bilateral contract framework to maintain the system security and to minimize the deviations from the contractual requirements. The simulation results on IEEE 30 bus system show that the sensitivity factors could be used effectively for the optimal location of FACTS controllers in response to the required objectives.

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“…In [19], by considering different distribution functions, load forecast uncertainty and wind power forecast uncertainty are represented, then two objectives regarding minimal cost and minimal emission are considered for market clearing of electrical energy as well as spinning reserves. A trade-off between emission and cost objectives is proposed in [20] to find the solution of an optimal power flow problem under RES uncertainty in a wind-thermal power system. In [21], to find the economic dispatch solution, the optimal spinning reserve requirements are calculated under consideration of wind uncertainty in a wind-thermal power system.…”

Section: Introductionmentioning

confidence: 99%

Stochastic Optimization for Security-Constrained Day-Ahead Operational Planning Under PV Production Uncertainties: Reduction Analysis of Operating Economic Costs and Carbon Emissions

2021

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Intermittent renewable energy sources (RES) generate variable power that cannot be fully predicted by advanced forecasting tools. Fortunately, re-schedulable conventional generators can contribute to the power balancing. However, the rescheduling usually leads to abrupt operations of fuel-based fast generators, which will induce an increase of fuel costs and CO2 emissions. This paper presents a general operational planning framework for controllable generators, one day ahead, under uncertain renewable energy generation. The planning objective consists on minimizing operating costs and/or equivalent carbon dioxide (CO2) emissions. Based on distributions of forecasting errors of the net demand, a loss of load probability-(LOLP) based risk assessment method is proposed to determine an appropriate amount of operating reserve (OR) for each time step of the next day. The effect of photovoltaic (PV) power generation uncertainty on operating decisions is examined by incorporating expected possible uncertainties into a two-stage unit commitment optimization. In a first stage, a deterministic optimization within a mixed-integer linear programming (MILP) method generates the unit commitment of controllable generators with the day-ahead PV and load demand prediction and the prescribed OR requirement. In the second stage, possible future forecasting uncertainties are considered. Hence, a stochastic operational planning is considered and optimized in order to commit enough flexible generators for reserve provision to handle unexpected deviations from predictions. Most of all, through the presented security-constrained two-stage optimization, OR is optimally scheduled (by using PV generators and conventional generators) to reach the minimum costs and CO2 emissions by considering PV panel characteristics and stochastic nature of PV production. The proposed methodology is implemented for a local energy community. Results regarding the available operating reserve, operating costs and CO2 emissions are established and compared. About 15% of economic operating costs and environmental costs are saved, compared to a deterministic generation planning while ensuring the targeted security level. INDEX TERMSDecision making, generator scheduling, probabilistic modelling, renewable energy, reserve allocation, stochastic optimization, uncertainty, unit commitment, urban energy system NOMENCLATURE A. ACRONYMS BPNN Back-propagation neural networks CCUC Chance-constrained unit commitment CHP Combined Heat and Power CI Confidence intervals DUC Deterministic unit commitment

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Minimum emissions optimal power flow in wind-thermal power system using Opposition based Bacterial Dynamics algorithm

Cited by 12 publications

References 17 publications

Um método de pontos interiores/exteriores aplicado ao problema de fluxo de potência ótimo para um sistema térmico-eólico

Um método de pontos interiores/exteriores aplicado ao problema de fluxo de potência ótimo para um sistema térmico-eólico

Optimal Placement of FACTS Controllers for Congestion Management in the Deregulated Power System

Stochastic Optimization for Security-Constrained Day-Ahead Operational Planning Under PV Production Uncertainties: Reduction Analysis of Operating Economic Costs and Carbon Emissions

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