A New Efficient GA-Benders' Decomposition Method: For Power Generation Expansion Planning With Emission Controls

Sirikum, Jiraporn; Techanitisawad, Anulark; Kachitvichyanukul, Voratas

doi:10.1109/tpwrs.2007.901092

Cited by 141 publications

(86 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The CE program also compares favourably with other techniques applied to GEP optimisation. A higher repeatability is achieved, while execution times are comparable to prior works (Sirikum, Techanitisawad, and Kachitvichyanukul 2007). …”

Section: Numerical Resultsmentioning

confidence: 54%

Optimal generation expansion planning via the Cross-Entropy method

Kothari

Kroese

2009

Proceedings of the 2009 Winter Simulation Conference (WSC)

View full text Add to dashboard Cite

The Generation Expansion Planning (GEP) problem is a highly constrained, large-scale, mixed integer nonlinear programming problem. The objective of the GEP problem is to evaluate the least cost investment plan for addition of power generating units over a planning period subject to demand, availability, and security constraints. In this paper, a GEP model is presented and the Cross-Entropy (CE) optimization method is developed to solve the problem. The CE method is an effective algorithm for solving large combinatorial optimization problems. The main advantage of the CE method over other metaheuristic techniques is that it does not require decomposition of the problem into a master problem and operation subproblems, greatly reducing the computational complexity. This method also provides a fast and reliable convergence to the optimal solution.

show abstract

Section: Numerical Resultsmentioning

confidence: 54%

Optimal generation expansion planning via the Cross-Entropy method

Kothari

Kroese

2009

Proceedings of the 2009 Winter Simulation Conference (WSC)

View full text Add to dashboard Cite

show abstract

“…The proposed method of substation planning is applied to a case study in which a district covers an area of 63.08 km 2 . This area is divided into 368 blocks for load Table 1.…”

Section: Case Studymentioning

confidence: 99%

“…The power-generation industry, which is the main sector of energy consumption and an important source of CO 2 emissions, will therefore operate the following low-carbon policy [1][2][3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Substation planning method in an active distribution network under low-carbon economy

Wang

et al. 2015

J. Mod. Power Syst. Clean Energy

View full text Add to dashboard Cite

A substation planning method that accounts for the widespread introduction of distributed generators (DGs) in a low-carbon economy is proposed. With the proliferation of DGs, the capacity that DGs contribute to the distribution network has become increasingly important. The capacity of a DG is expressed as a capacity credit (CC) that can be evaluated according to the principle that the reliability index is unchanged before and after the introduction of the DG. A method that employs a weighted Voronoi diagram is proposed for substation planning considering CC. A low-carbon evaluation objective function is added to the substation planning model to evaluate the contribution of DGs to a low-carbon economy. A case study is analyzed to demonstrate the practicality of the proposed method.

show abstract

“…In [16], the expansion of thermal power plants is discussed taking into account the emissions and their long-term effects. The algorithm is a combination of GA and Bender's decomposition method.…”

Section: Locusmentioning

confidence: 99%

EA Techniques for Optimal Power Flow. Parameter Tuning by Mathematical Test Functions

2014

APH

View full text Add to dashboard Cite

A New Efficient GA-Benders' Decomposition Method: For Power Generation Expansion Planning With Emission Controls

Cited by 141 publications

References 20 publications

Optimal generation expansion planning via the Cross-Entropy method

Optimal generation expansion planning via the Cross-Entropy method

Substation planning method in an active distribution network under low-carbon economy

EA Techniques for Optimal Power Flow. Parameter Tuning by Mathematical Test Functions

Contact Info

Product

Resources

About