ABSTRACT
Stochastic Processes ........................................................ 162 4.2.3.4 Scenario Reduction Techniques .................................... 164
4.2.4 Scenario Generation for Unit Availability .................................. 165 4.2.5 Numerical Application .................................................................. 167
4.2.5.1 Scenario Generation for System Load .......................... 168 4.2.5.2 Scenario Generation for PV Production ....................... 170 4.2.5.3 Scenario Generation for Wind Power Production ...... 174
4.3 Scheduling Models for the Short-Term Operation of the Insular Power System .............................................................................................. 175 4.3.1 Introduction .................................................................................... 175
4.3.1.1 Short-Term Power System Operations ......................... 175 4.3.1.2 Short-Term Insular System Operations ........................ 177
4.3.2 Mathematical Formulation of the Proposed Scheduling Models ............................................................................................. 179 4.3.2.1 Multiple-Level Scheduling ............................................ 179 4.3.2.2 Unified UCED Model ..................................................... 203 4.3.2.3 Stochastic Scheduling Models....................................... 207
4.3.3 Case Study ...................................................................................... 216 References ............................................................................................................. 220
ABSTRACT This chapter presents an overview of different methodologies and mathematical optimization models that can contribute toward efficient short-term operation of insular electricity systems with high renewable energy sources (RESs) penetration. Robust algorithms employed for the creation of system load and RES production scenarios that capture the spatial and temporal correlations of the respective stochastic processes, as well as a procedure for the creation of units’ availability scenarios using Monte Carlo simulation, are discussed. Advanced unit commitment (UC) and economic dispatch (ED) (UCED) models for the short-term scheduling of the conventional and RES generating units in different short-term timescales (day ahead, intraday, and real time) are described. Indicative test results from the implementation of all models in the power system of the island of Crete, Greece, are illustrated and valuable conclusions are drawn.
