Sequential Quadratic Programming Based on IPM for Constrained Nonlinear Programming

Liang, Ximing; Bashir, Hassan A.; Li, Shanchun

doi:10.1109/isda.2008.162

Cited by 5 publications

(2 citation statements)

References 12 publications

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“…At each iteration, the Quasi-Newton updating method is adopted to get an approximation of the Hessian matrix of the Lagrangian function. This approximation is used to get the solution of a quadratic programming sub-problem, and this solution is adopted to update the approximation [25].…”

Section: Optimization Methodologymentioning

confidence: 99%

Optimal Investment Strategies for Solar Energy Based Systems

Song

et al. 2019

Energies

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Solar energy, as an inexhaustible renewable energy, can be used to produce heat and electricity. It is of great importance to examine the strategy for investment on solar energy technology. In response to varying electricity price in the electricity market, the battery energy storage system (BESS) can be used to get price arbitrage. This paper proposes an optimal configuration model for a photovoltaic (PV) system, solar heating system, and BESS in order to obtain maximum profit for investors. The investment potential of these systems is compared and analyzed based on return on investment (ROI) index which is defined to evaluate economic profitability. A bi-level programming is adopted to optimize the operation strategy of batteries (inner layer), the size of PV system and solar heating system, and the size of batteries (outer layer) including their maximum discharge/charge power and capacity. Sequential quadratic programming (SQP) method and particle swarm optimization (PSO) are used as optimization methods. In the case study, five investment strategies are investigated in order to decide how to invest in PV modules, batteries, and solar thermal collectors. The results show that the BESS may be a preferable choice for the investors if the investment cost of BESS goes down a lot in the future. Investing in solar energy for both heat and power may be not reasonable because the ROI of this strategy is always higher than either investing in heat or in power. The optimal strategy may be changed with the fluctuation of heat and electricity prices.

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Section: Optimization Methodologymentioning

confidence: 99%

Optimal Investment Strategies for Solar Energy Based Systems

Song

et al. 2019

Energies

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“…It gets the optimal solution by generating a series of iterations with Lagrange multipliers. So the constrained optimization problem can be transformed into a sub problem that would be used as the basis of an iterative process [15].…”

Section: E Optimization Methodsmentioning

confidence: 99%

Optimal selection of AC cables for large scale offshore wind farms

Hou

Chen

2014

IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society

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The investment of large scale offshore wind farms is high in which the electrical system has a significant contribution to the total cost. As one of the key components, the cost of the connection cables affects the initial investment a lot. The development of cable manufacturing provides a vast choice space and a great opportunity to optimize the system cost while meets the operational requirements of the offshore wind farms and the connected power systems. In this paper, a new cost model for AC-cable is proposed and the optimal cable selection framework is established using the optimization platform in Matlab. A real offshore wind farm is chosen as the study case to demonstrate the proposed method. Furthermore, the optimization is also applied to an offshore wind farm under development. It can be observed from the results that the proposed optimal cable selection framework is an efficient and systematical way for the optimal selection of cables in large scale offshore wind farms.

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Operational optimization of wind energy based hydrogen storage system considering electricity market's influence

Hou

Chen

et al. 2016

2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)

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Sequential Quadratic Programming Based on IPM for Constrained Nonlinear Programming

Cited by 5 publications

References 12 publications

Optimal Investment Strategies for Solar Energy Based Systems

Optimal Investment Strategies for Solar Energy Based Systems

Optimal selection of AC cables for large scale offshore wind farms

Operational optimization of wind energy based hydrogen storage system considering electricity market's influence

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