An Application of Artificial Bee Colony Algorithm for Reservoir Optimization: A Case Study of Chenderoh Dam, Malaysia

Abstract

Abstract-Reservoir operators commonly manage and regulate the downstream water flow and the demands over time and space. It becomes a challenging task for the decision maker to evaluate the trade-off during high inflow and low inflow season especially for multipurpose hydropower system. The main goal of the present study is to develop a set of release policy under three different inflow scenarios (high, medium and low) for the Chenderoh hydropower reservoir using the Artificial Bee Colony algorithm. Due to its capability to identify different possible events happened in the reservoir, the proposed algorithm provided promising solutions which minimize the water deficit in the operating system. Based on the thought of refined performance by ABC model, three indices criteria (reliability, resilience and vulnerability) are used to evaluate its effectiveness. ABC model has provided good results in terms of reliability (63.9% meeting the demand, 11.8% more than the demand and 24.3% less than the demand) and small vulnerability (1.31) leading to develop an outstanding release policy for optimal operation.