Southern OR Group (SORG)


This regional society meets regularly to enable members to network with other operational researchers in their local area and to expand their knowledge of OR in breadth and depth.

We put on meetings, works visits and other events, which are generally free admission and open to all, giving members the freedom to invite clients and others outside OR who are interested in the subject.

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You can find the latest news of this group’s activities as well as dates and details of upcoming and past events. You can also join this group’s email distribution list and get in direct touch with the group’s organisers through the ‘get in touch’ form. Any documents, such as presentation slides and promotional leaflets, are available through the ‘related documents’ box below.

Committee details

Djamila Ouelhadj Chair
Alain Zemkoho Secretary
Tolga Bektas Treasurer
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COME TO OUR NEXT EVENT

Date: Wednesday, 10 March
Time: 13:00-14:00

Title: A stochastic programming model for an energy planning problem: Formulation, solution method and application

Speaker: Chandra Irawan (University of Nottingham, Ningbo)

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More Information

Abstract: The paper investigates national/regional power generation expansion planning for medium/long-term analysis in the presence of electricity demand uncertainty. A two-stage stochastic programming is designed to determine the optimal mix of energy supply sources with the aim to minimise the expected total cost of electricity generation considering the total carbon dioxide emissions produced by the power plants. Compared to models available in the extant literature, the proposed stochastic generation expansion model is constructed based on sets of feasible slots (schedules) of existing and potential power plants. To reduce the total emissions produced, two approaches are applied where the first one is performed by introducing emission costs to penalise the total emissions produced. The second approach transforms the stochastic model into a multi-objective problem using the ε-constraint method for producing the Pareto optimal solutions. As the proposed stochastic energy problem is challenging to solve, a technique that decomposes the problem into a set of smaller problems is designed to obtain good solutions within an acceptable computational time. The practical use of the proposed model has been assessed through application to the regional power system in Indonesia. The computational experiments show that the proposed methodology runs well and the results of the model may also be used to provide directions/guidance for Indonesian government on which power plants/technologies are most feasible to be built in the future.

About the speaker: Chandra Irawan is an Associate Professor in Operations Management at the Nottingham University Business School Ningbo China (UNNC). He has published his works in well-known international journals such as European Journal of Operational Research, Computer and Operations Research, Journal of Heuristics and Annals of Operations Research. Prior to the UNNC, he was a research fellow at the Department of Mathematics at the University of Portsmouth UK for 3 years. He received the BSc and MSc degree in industrial engineering from Bandung Institute of Technology (ITB) Indonesia in 1996 and 2003 respectively. He obtained his PhD in Management Science from University of Kent UK in 2014.

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