Normalised normal constraint algorithm applied to multi-objective security-constrained optimal generation dispatch of large-scale power systems with wind farms and pumped-storage hydroelectric stations

A multi-objective security-constrained optimal generation dispatch (MOSCOGD) model for large-scale power systems with wind farms and pumped-storage hydroelectric (PSH) stations is proposed. In this model, fuel consumption, emission content of atmospheric pollutants, and power purchase costs are take...

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Vydané v:	IET generation, transmission & distribution Ročník 11; číslo 6; s. 1539 - 1548
Hlavní autori:	Lin, Shunjiang, Liu, Mingbo, Li, Qifeng, Lu, Wentian, Yan, Yuan, Liu, Cuiping
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	The Institution of Engineering and Technology 20.04.2017
Predmet:	atmospheric pollutants distributed Pareto optimal solutions fuel consumption IEEE standards large‐scale power systems modified IEEE 39‐bus system multiobjective security‐constrained optimal generation dispatch N − 1 criterion conditions normalised normal constraint algorithm optimisation models parallel computing Pareto frontier surface Pareto optimisation power generation dispatch power system security pumped‐storage hydroelectric stations pumped‐storage power stations Research Article wind farms wind power plants Pareto optimisation fuel consumption optimisation models atmospheric pollutants wind farms power system security power generation dispatch multiobjective security-constrained optimal generation dispatch distributed Pareto optimal solutions Pareto frontier surface normalised normal constraint algorithm pumped-storage hydroelectric stations IEEE standards N − 1 criterion conditions wind power plants parallel computing modified IEEE 39-bus system large-scale power systems pumped-storage power stations
ISSN:	1751-8687, 1751-8695
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Shrnutí:	A multi-objective security-constrained optimal generation dispatch (MOSCOGD) model for large-scale power systems with wind farms and pumped-storage hydroelectric (PSH) stations is proposed. In this model, fuel consumption, emission content of atmospheric pollutants, and power purchase costs are taken into account as objective functions, and network security under basic status and N − 1 criterion conditions, and the operational limits of PSH resources are included in the constraints. The difficulties associated with discrete variables for describing the operational characteristics of PSH resources are avoided by introducing two continuous variables, generation power and pumping power, which satisfy complementary constraints. The normalised normal constraint algorithm is used to transform the three-objective optimal dispatch model into a series of single-objective optimisation models, which are solved by the interior point method, resulting in a series of evenly distributed Pareto optimal solutions (POSs) and the complete Pareto frontier surface. The computational efficiency is greatly enhanced by employing a checking–adding–checking again-adding again scheme to address network security constraints. Moreover, parallel computing is employed to improve the computation speed for solving the POSs of the MOSCOGD model. Test results on an actual large-scale power system and the modified IEEE 39-bus system demonstrate the effectiveness of the proposed method.
ISSN:	1751-8687 1751-8695
DOI:	10.1049/iet-gtd.2016.1386