Impacts of Synchronous Generator Capability Curve on Systems Locational Marginal Price through a Convex Optimal Power Flow

Fernandes, Italo G.

doi:10.25046/aj030615

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…• Diesel generator active and reactive power limits for each time slot (Generator capability curves) [38], [39]: a) Prime-mover limits for each time slot: Limits on the mechanical power input from the primemover impose constraints on the active power generation and scheduled reserve.…”

Section: ) First Stage Inequality Constraintsmentioning

confidence: 99%

Data Driven Stochastic Energy Management for Isolated Microgrids Based on Generative Adversarial Networks Considering Reactive Power Capabilities of Distributed Energy Resources and Reactive Power Costs

et al. 2021

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This paper proposes a two-stage stochastic energy management (EM) in an isolated microgrid (MG) to decide for the day-ahead optimal dispatch. The dispatch aims to effectively manage the MG power sources, including intermittent renewable energy sources (RESs), battery energy storage systems (BESSs), and diesel generators such that the expected operation costs, reactive power costs, spinning reserve, and load shedding are minimized. The Generative Adversarial Networks (GANs) is utilized in this paper as a data driven scenario generation method to model the uncertainties in the output power of the RESs to be used in the stochastic programming formulation. Then, the fast forward scenario reduction algorithm is used to reduce the number of scenarios with the help of SCENRED/GAMS software. Usually, fuel consumption costs of diesel generators are considered to be dependent on active power generation only. However, neglecting the related reactive power costs might result in increased operation costs and deviations in the dispatches from the optimal solutions. Hence, this paper co-optimizes the costs related to both active and reactive powers of diesel generators. In addition, this study considers the reactive power capability of inverter-interfaced distributed energy resources (DERs). Moreover, the detailed models for the different resources are presented, especially for diesel generators where the actual capability curves are used instead of the widely used box constraints. The problem is formulated as a nonlinear programming problem in the General Algebraic Modeling System (GAMS) software and is solved by the CONOPT solver.

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Section: ) First Stage Inequality Constraintsmentioning

confidence: 99%

Data Driven Stochastic Energy Management for Isolated Microgrids Based on Generative Adversarial Networks Considering Reactive Power Capabilities of Distributed Energy Resources and Reactive Power Costs

et al. 2021

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Fuel cost optimization of the power system by involving all operating limits based on the developed interior point algorithm

Zein

Kurniasetiawati

Wachjoe

2020

Int Trans Electr Energ Syst

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Summary Power flow control in the power system aims to supply electricity to customers efficiently and low operating costs. Based on the conventional approach, the electric power operators only emphasize the function of optimizing generating costs according to load demand and active power limits of generators. On the other hand, the adjustment of the optimization results requires manual adjustments in its implementation. The optimization of the fuel costs minimization, which involves all constraints, is very expected by the operators so that the operator can implement the results directly without making any adjustments. Furthermore, the constraints in power flow optimization that consist of generator capability curve limits, voltage limits, transmission line limits, and active power limits on generators will lead to more complicated optimization, and the application program will run slowly. This paper proposes a method that can reduce optimization constraints with less computation time. The method is to reduce the limits of the generator capability curve through a mathematical model. While the optimization method used is the predictor‐correctors techniques and reduction techniques in the interior point algorithm. The method uses a simple power system using a four‐bus power system that provides accurate and satisfying results. Besides, this method has been successfully implemented in a large‐scale system, namely, the 500 kV Java—Bali Power System with 65 buses and 40 generating units.

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Adaptive robust energy management for isolated microgrids considering reactive power capabilities of distributed energy resources and reactive power costs

Sadek

Omran

Hassan

et al. 2021

Electric Power Systems Research

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Impacts of Synchronous Generator Capability Curve on Systems Locational Marginal Price through a Convex Optimal Power Flow

Cited by 3 publications

References 11 publications

Data Driven Stochastic Energy Management for Isolated Microgrids Based on Generative Adversarial Networks Considering Reactive Power Capabilities of Distributed Energy Resources and Reactive Power Costs

Data Driven Stochastic Energy Management for Isolated Microgrids Based on Generative Adversarial Networks Considering Reactive Power Capabilities of Distributed Energy Resources and Reactive Power Costs

Fuel cost optimization of the power system by involving all operating limits based on the developed interior point algorithm

Adaptive robust energy management for isolated microgrids considering reactive power capabilities of distributed energy resources and reactive power costs

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