Dynamic economic dispatch using complementary quadratic programming

McLarty, Dustin; Panossian, Nadia; Jabbari, Faryar; Traverso, Alberto

doi:10.1016/j.energy.2018.10.087

Cited by 62 publications

(28 citation statements)

References 24 publications

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“…At present, the solution methods for the ELD are classified into two research directions: the traditional numerical method and intelligent algorithm. Traditional methods usually rely on mathematical tools for calculation, which mainly includes the lambda iterative method [11], dynamic programming [12], the Lagrange Relaxation (LR) method [13], linear programming [14], and quadratic programming [15]. In general, the above research methods are relatively mature and have been verified by many examples in engineering applications.…”

Section: Related Workmentioning

confidence: 99%

Energy Management of a Power System for Economic Load Dispatch Using the Artificial Intelligent Algorithm

Zhang

Chao

2020

Electronics

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Economic Load Dispatch (ELD) is a key issue in power systems and its goal is to achieve minimum economic costs by allocating the output of generator units when satisfying the load demands and the operating constraints. As the dimension of the variables and the constraints increase, the traditional mathematical method is gradually not suitable for the ELD. This paper proposes an Improved Bird Swarm Algorithm (IBSA) to solve the ELD problem of a power system. By introducing the nonlinear cognitive and social coefficients, the proportion of individual learning and social learning of birds can be dynamically adjusted. In addition, the Levy flight strategy is added to the group between producers and beggars to increase the randomness. The performance of IBSA is verified via two systems consisting of 6 and 15 units, respectively, that take into account generation limitation, ramp rate limit, and prohibited operating zones. From the simulation results, the IBSA has shown excellent performance and robustness, which can be considered as a reliable solution for the ELD.

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Section: Related Workmentioning

confidence: 99%

Energy Management of a Power System for Economic Load Dispatch Using the Artificial Intelligent Algorithm

Zhang

Chao

2020

Electronics

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“…Economic dispatch is a centralized approach to determining the optimal scheduling of generators, known as unit commitment. Economic dispatch for micro grids presents a highly constrained non-linear, mixed-integer optimization problem that scales exponentially with the number of systems [17]. There are many different distribution generations as they are shown in the paper [18].…”

Section: Economic Dispatch Algorithmmentioning

confidence: 99%

Optimal Economic Dispatch in Microgrids with Renewable Energy Sources

et al. 2019

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Due to the opening of the energy market and agreements for the reduction of pollution emissions, the use of microgrids attracts more attention in the scientific community, but the management of the distribution of electricity has new challenges. This paper considers different distributed generation systems as a main part to design a microgrid and the resources management is defined in a period through proposed dynamic economic dispatch approach. The inputs are obtained by the model predictive control algorithm considering variations of both pattern of consumption and generation systems capacity, including conventional and renewable energy sources. Furthermore, the proposed approach considers a benefits program to customers involving a demand restriction and the costs of regeneration of the pollutants produced by conventional generation systems. The dispatch strategy through a mathematical programming approach seeks to reduce to the minimum the fuel cost of conventional generators, the energy transactions, the regeneration of polluted emissions and, finally, includes the benefit in electricity demand reduction satisfying all restrictions through mathematical programming strategy. The model is implemented in LINGO 17.0 software (Lindo Systems, 1415 North Dayton Street, Chicago, IL, USA). The results exhibit the proposed approach effectiveness through a study case under different considerations.

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“…The developed control software has been already presented in the previous paper [9] in its main principles: a framework based on a hierarchic approach was presented. Similarly to [7], the approach is based on considering two principal levels of control:…”

Section: Control Descriptionmentioning

confidence: 99%

“…The adopted control is based on a hierarchical approach, mutated from the smart grid application [7]. Such kind of control systems have found a wide diffusion in the smart grid environment: a review has been recently dedicated to the topic [8] but the application goes from the management of the voltage [8] to the decision-making process in the distribution of energy share [7]. The approach here adopted has been already sketched in [9].…”

Section: Introductionmentioning

confidence: 99%

Flexibilization of Gas Turbine Combined Cycle via Heat Pump: development of control logics via Software-in-the-loop application

2019

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Flexibilization of Gas Turbine Combined Cycle (GTCC) is a key for plant operations in the present as well as in the near future. The increasing of non-dispatchable sources in the energy production environment causes strong fluctuations in energy price and energy production profiles. The opportunity to enhance flexibility of traditional GTCC is consequenlty welcomed. This work focuses on integration of a Heat Pump in a GTCC devoted to cogenerative purpose with the goal to integrate energy production, assist the power plant in normal operations and enriches the transient capability of the whole compound. This approach can be developed to be retro-fitted to existing power plant. In particular, a software-in-the-loop (SiL) application is here presented to test the developed control logics governing such power plant. The power plant model is developed and runs under Siemens AMESIM environemnt, whilst the control system is developed and integrated in Matlab/Simulink environment. The two systems are intefraced and exchange information with the goal to verify reliability of the control logics before going into the real field..

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Dynamic economic dispatch using complementary quadratic programming

Cited by 62 publications

References 24 publications

Energy Management of a Power System for Economic Load Dispatch Using the Artificial Intelligent Algorithm

Energy Management of a Power System for Economic Load Dispatch Using the Artificial Intelligent Algorithm

Optimal Economic Dispatch in Microgrids with Renewable Energy Sources

Flexibilization of Gas Turbine Combined Cycle via Heat Pump: development of control logics via Software-in-the-loop application

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