Two‐stage glowworm swarm optimisation for economical operation of hydropower station

Abstract

This study proposes a two-stage glowworm swarm optimisation (GSO) algorithm for the economical operation of the inner plant of a hydropower station. Binary GSO and real-coded GSO (RCGSO) algorithms are applied with different types of encodings to solve the unit commitment sub-problem and the economic load distribution (ELD) sub-problem, respectively. Moreover, an improved dynamic patching mechanism is developed to avoid invalid calculations and enrich the diversity of the solutions. A luciferin transfer mechanism helps the algorithm escape the local optimum and a local research mechanism enhances the diversity of the solution space by selecting from among the derived solutions. The RCGSO algorithm uses a variable-step mechanism to avoid missing the optimal solution. In comparison with the genetic algorithm and particle swarm optimisation, the RCGSO is significantly robust and provides better solutions to ELD sub-problems. Numerical simulations exhibited the superiority of the two-stage GSO algorithm in terms of stably and quickly solving the economical operation problem of hydropower stations.

Hydropower Pricing Options for Cross-Border Electricity Trading in China Based on Bi-Level Optimization

“…Participants can be divided into generators and purchasers, and their different interest demands correspond to their different objectives [24]. Of course, the constraints on both sides are different, especially in that hydropower may introduce many nonconvex and nonlinear constraints [25,26]. As defined in [27], both parties act as leaders and followers, respectively, that is, the upper and lower levels of bi-level optimization; it is clear that each level has its own objectives and constraints.…”

Simulation of hydraulic power matching–based risk and economic evaluation among cascade hydropower stations in spot transactions

“…Firstly, inflow is the primary factor of market supply capacity, resulting in different bidding strategies (Helseth et al, 2017;Li et al, 2019). Then, the water from the upstream power station will be used as the inflow of the downstream power station, which directly affects the power generation process (Wang X. et al, 2018). When multiple owners manage a cascade system, this information is unknown.…”

A survey of the state-of-the-art swarm intelligence techniques and their application to an inverse design problem

“…Applications related to different fields such as Image processing [78][79][80], Communication [81,82], Robotics [83,84], and Power Engineering [85][86][87] used the GSO algorithm.…”