Journal ArticleDOI
Peak shaving operation of hydro-thermal-nuclear plants serving multiple power grids by linear programming
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In this article, a linear programming optimization model is proposed to find out the optimal quarter-hourly generation allocation plan while satisfying a group of complex constraints, which minimizes the summation of peak-valley difference of the residual load series by subtracting the total allocated generation from the original load of each power grid.About:
This article is published in Energy.The article was published on 2017-09-15. It has received 58 citations till now. The article focuses on the topics: Base load power plant & Peaking power plant.read more
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Intuitionistic fuzzy MULTIMOORA approach for multi-criteria assessment of the energy storage technologies
TL;DR: The aggregation of the different parts of MULTIMOORA which makes the technique more operational, especially in case of large-scale applications, and compared to those obtained by employing TOPSIS and VIKOR methods.
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Operation rule derivation of hydropower reservoir by k-means clustering method and extreme learning machine based on particle swarm optimization
TL;DR: This research develops a novel class-based evolutionary extreme learning machine (CEELM) to determine the appropriate operation rule of hydropower reservoir and concludes that the model’s generalization capability can be improved by isolating each subclass composed of similar dataset.
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Optimization of hydropower reservoirs operation balancing generation benefit and ecological requirement with parallel multi-objective genetic algorithm
TL;DR: This paper provides an effective tool to support the multi-objective operation optimization of hydropower system by decomposed into several smaller subpopulations that will be simultaneously evolved on several computing units, effectively enhancing the execution efficiency and population diversity.
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A parallel multi-objective particle swarm optimization for cascade hydropower reservoir operation in southwest China
TL;DR: A parallel multi-objective particle swarm optimization where the swarm with large population size is divided into several smaller subswarms to be simultaneously optimized by different worker threads to finish the entire evolutionary process.
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Identifying long-term effects of using hydropower to complement wind power uncertainty through stochastic programming
TL;DR: In this article, the authors identified the tradeoff effects of hydropower and wind power integrated operation by establishing a framework of coupling models, where a martingale model that captures the evolution of forecasting uncertainty was used to generate synthetic scenarios of uncertain load demand.
References
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Journal ArticleDOI
Solving nonlinear water management models using a combined genetic algorithm and linear programming approach
TL;DR: In this paper, the authors describe strategies for solving large nonlinear water resources models management, which combine GAs with linear programming, by identifying a set of complicating variables in the model which, when fixed, render the problem linear in the remaining variables.
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A bare-bones multi-objective particle swarm optimization algorithm for environmental/economic dispatch
TL;DR: A new bare-bones multi-objective particle swarm optimization algorithm which has three distinctive features: a particle updating strategy which does not require tuning up control parameters; a mutation operator with action range varying over time to expand the search capability; and an approach based on particle diversity to update the global particle leaders.
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Optimization of Large-Scale Hydropower System Operations
TL;DR: In this paper, a practical monthly optimization model, called SISOPT, is developed for the management and operations of the Brazilian hydropower system, where the basic model is formulated in nonlinear programming (NLP).
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Progress in dynamic simulation of thermal power plants
TL;DR: In this paper, a comprehensive review of dynamic simulation, its development and application to various thermal power plants is presented, highlighting current research efforts and future development potential in the field of thermal power generation.
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Trends and challenges in the operation of pumped-storage hydropower plants
TL;DR: In this paper, the authors review the current trends in the pumped hydroelectric energy storage operation, discuss why current practices should be reexamined, and present the main challenges faced by PHES operators who will need to adapt their scheduling and bidding models to optimize jointly the operation in the energy and in the ancillary services markets.