ICT and software development
The main objective of WP4 is to provide algorithmic theory to advance the state-of-the-art high-speed dynamic optimization, which is specifically suited for the classes of problems that arise in WP2 and WP3. The primary focus will be on practical and efficient software algorithms that will be used to directly test the proposed framework on the case studies in WP6. The optimization problems and generic solutions defined in WP2 and WP3 are intended to be solved by various agents, which are in general distributed over large scale power systems, and which interact through both ICT network and physical electrical grid. While the optimization problems will in general have some common features, they will exhibit significant differences as each agent differs in terms of a) computational and informational resources available, which impose real-time constraints, b) accuracy and volume of input and model data, which impact the complexity of the considered problem, and further impose possible requirements on the levels of sub-optimality and limits the applicability of existing optimization algorithms. In developing the suitable software solutions, WP4 will assess and appropriately accommodate the problems arising from: i) problem complexity (e.g. size of the optimization problem in terms of decision variables and constraints), ii) available computational time and computation power (e.g. some agents might have available only limited computational power constraining the complexity of local software algorithms), iii) information exchange constraints (e.g. information packages exchanged between the agents will have different content, availability and frequency). The goal is to eventually integrate the developed software algorithms with the power system simulation model provided by KEMA. Furthermore, the objective of this work package is to specify ICT infrastructure and interfaces in close collaboration with WP2-3 to support results of WP2-3.