A new method for calculating loss coefficients [of power systems]

Chang, Yung-Chung; Yang, Wei; Liu, Chun-Chang

doi:10.1109/59.336090

Cited by 31 publications

(2 citation statements)

References 10 publications

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“…However, in order to calculate power losses, we can develop a mathematical expression as a function of power output of each generation unit. This method is known as the B-coefficient method [66], while some other techniques are being used to calculate power losses on the basis of network flow equations. As it is understood that the equal incremental rate principle works well if the cost function is a quadratic or a piecewise linear [67], if the cost function is neither linear nor quadratic, this mechanism may be even more complex.…”

Section: System Modelmentioning

confidence: 99%

Co-Optimization of Energy and Reserve Capacity Considering Renewable Energy Unit with Uncertainty

et al. 2018

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This paper proposes a system model for optimal dispatch of the energy and reserve capacity considering uncertain load demand and unsteady power generation. This implicates uncertainty in managing the power demand along with the consideration of utility, user and environmental objectives. The model takes into consideration a day-ahead electricity market that involves the varying power demand bids and generates a required amount of energy in addition with reserve capacity. The lost opportunity cost is also considered and incorporated within the context of expected load not served. Then, the effects of combined and separate dispatching the energy and reserve are investigated. The nonlinear cost curves have been addressed by optimizing the objective function using robust optimization technique. Finally, various cases in accordance with underlying parameters have been considered in order to conduct and evaluate numerical results. Simulation results show the effectiveness of proposed scheduling model in terms of reduced cost and system stability.

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Section: System Modelmentioning

confidence: 99%

Co-Optimization of Energy and Reserve Capacity Considering Renewable Energy Unit with Uncertainty

et al. 2018

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“…As all equations should be expressed in linear form, in order to produce absolute values of used in (15), three inequalities given by (18) to (20) are employed:…”

Section: A Modeling Lossesmentioning

confidence: 99%

Transmission Network Planning Under Security and Environmental Constraints

Kazerooni

Mutale

2010

IEEE Trans. Power Syst.

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This paper explores the impact of CO 2 emission trading on capacity planning of electric power transmission systems. Two different models for annual emission costs are assumed. The CO 2 emission price is modeled as a probability density function in the transmission network planning problem.The Monte Carlo technique is deployed to simulate the CO 2 emission price volatility. The transmission network planning problem is formulated as a mixed-integer optimization whose objective is to minimize the sum of annual generator operating costs and annuitized transmission investment costs over different demand levels subject to N-1 network security constraints as well as operating limits on system components. The overall problem is formulated within the framework of a linear dc optimal power flow incorporating binary decision variables to model the lumpy nature of transmission investment. A linear model of losses is also proposed and included in the dc power flow model. The proposed approach can be used to determine the most probable optimal transmission capacity. The methodology is demonstrated through case studies simulated on the IEEE 24-bus network.

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Power System Economic Dispatch

Lin¹,

Magnago²

2017

Electricity Markets: Theories and Applications

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A new method for calculating loss coefficients [of power systems]

Cited by 31 publications

References 10 publications

Co-Optimization of Energy and Reserve Capacity Considering Renewable Energy Unit with Uncertainty

Co-Optimization of Energy and Reserve Capacity Considering Renewable Energy Unit with Uncertainty

Transmission Network Planning Under Security and Environmental Constraints

Power System Economic Dispatch

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