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

Lin, Shunfu; Liu, Mingbo; Li, Qifeng; Lu, Wentian; Yuan, Yan; Liu, Cuiping

doi:10.1049/iet-gtd.2016.1386

Cited by 25 publications

(9 citation statements)

References 26 publications

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“…3) PA of the outer-layer optimization problem and obtaining the continuous Pareto frontier After PA of the middle-layer optimization problems, λ1(PG0,UGref,Qc) and λ2(PG0,UGref,Qc) are obtained. The entire optimization problem (16) can be transformed into a bi-objective programming problem as follows: Therefore, the NNC method can be used to find its evenly distributed PF [26][27]. However, methods, such as NNC, can only obtain discrete PF, so some information for further decision may be lost.…”

Section: ) Pa Of the Mid-level Optimization Problemsmentioning

confidence: 99%

Multi-Objective Optimal Control Approach for Static Voltage Stability of Power System Considering Interval Uncertainty of the Wind Farm Output

et al. 2020

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The static voltage stability margin (SVSM) of a power system considering the uncertain fluctuation range of wind farm (WF) output can be described as an interval value called the SVSM interval. A multi-objective optimal control model for SVS of a power system considering the interval uncertainty of WF output is proposed. The objective functions of the model are to increase the central value and reduce the fluctuation range of the SVSM interval, and the decision variables are the active power output and terminal voltage of generators and the switching capacity of shunt capacitors. Thus, it is a multi-layer optimization model. A parametric approximation (PA) method is used to obtain the approximate functional relationship between the optimal objective function values and the decision variables of the inner-layer and mid-layer optimization models and convert the optimization model into a single-layer bi-objective optimization model. A method for obtaining the continuous Pareto frontier of the bi-objective optimization model is proposed based on the normalized normal constraint and PA methods, and the compromise optimal solution calculated from the continuous Pareto frontier is used as the optimal control scheme. Two methods for improving the calculation efficiency of the PA method are also proposed. Finally, results from experimentation on the IEEE 39-bus system and an actual provincial power grid demonstrate the effectiveness of the proposed method.

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Section: ) Pa Of the Mid-level Optimization Problemsmentioning

confidence: 99%

Multi-Objective Optimal Control Approach for Static Voltage Stability of Power System Considering Interval Uncertainty of the Wind Farm Output

et al. 2020

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“…A hybrid method are applied to solve the problem with network security constraints. At the same time, Shunjiang Lin proposed a normalized normal constraints algorithm to be applied on multi-objectives problem in large scale power system with wind and pumped storage [16]. Yimu Fu has minimized the power purchase cost and pollutant gas emission on stochastic wind thermal generation [9].…”

Section: Ceed With Renewable Energymentioning

confidence: 99%

A review of combined economic emission dispatch for optimal power dispatch with renewable energy

Aswan

Abdullah

Bakar

2019

IJEECS

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This paper provides comprehensive review of recent formulation and solution of combined economic emission dispatch problem considering renewable energy. Generally, power dispatch plays an important role in power generation system that mainly depends on the fossil fuels. Rapid depletion of these sources cause a limitation and increase the fuel price. At the same time, the poisonous gases emit by the thermal generator causes a long term environmental pollution. An extensive researches have been conducted for last few decades by considering Renewable Energy (RE) in power generation system as an alternative source. Therefore, Combined Economic Emission Dispatch (CEED) of thermal and renewable energy resources currently formulated in power dispatch problem. The optimization methods that commonly used to solve the CEED problem are categorized as traditional method, non-conventional method and hybrid method. It can be concluded that non-conventional and hybrid method have great and superior solution for solving multiobjective economic emission dispatch problem. The recent research related to CEED with RE are summarized in terms of methods, test cases, conditions, types of RE and constraints. Thus, it can be useful references for the research in this area.

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“…There is a need for suitable approaches for dealing large scale size problem to find global solutions to the optimization problems. Many scholars have attempted to face this difficulty (Wang et al, 2010, Yan et al, 2004, Chiou, 2007, Lin et al, 2017, Beigvand et al, 2017. An ED is a significant tool in power system operations, which schedules committed generating to meet demand in a point at a minimum cost (Beigvand et al, 2017).…”

Section: Big Data Analytics Based On Convex and Nonconvex Optimizationmentioning

confidence: 99%

Big Data Optimization in Electric Power Systems: A Review

Rahimi¹,

Ahmadi²,

Zobaa³

et al. 2018

Big Data Analytics in Future Power Systems

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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

Cited by 25 publications

References 26 publications

Multi-Objective Optimal Control Approach for Static Voltage Stability of Power System Considering Interval Uncertainty of the Wind Farm Output

Multi-Objective Optimal Control Approach for Static Voltage Stability of Power System Considering Interval Uncertainty of the Wind Farm Output

A review of combined economic emission dispatch for optimal power dispatch with renewable energy

Big Data Optimization in Electric Power Systems: A Review

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