Applied Energy, Vol.179, 17-35, 2016
A mid-term, market-based power systems planning model
This paper presents a generic Mixed Integer Linear Programming (MILP) model that integrates a Midterm Energy Planning (MEP) model, which implements generation and transmission system planning at a yearly level, with a Unit Commitment (UC) model, which performs the simulation of the Day Ahead Electricity Market. The applicability of the proposed model is illustrated in a case study of the Greek interconnected power system. The aim is to evaluate a critical project in the Ten Year Network Development Plan (TYNDP) of the Independent Power Transmission System Operator S.A. (ADMIE), namely the electric interconnection of the Crete Island with the mainland electric system. The proposed modeling framework identifies the implementation (or not) of the interconnection of the Crete Island with the mainland electric system, as well as the optimum interconnection capacity. It also quantifies the effects on the Day-Ahead electricity market and on the energy mix. The paper demonstrates that the model can provide useful insights into the strategic and challenging decisions to be determined by investors and/or policy makers at a national and/or regional level, by providing the optimal energy road map and management, as well as clear price signals on critical energy projects under real operating and design constraints. (C) 2016 Elsevier Ltd. All rights reserved.
Keywords:Mixed integer linear programming;Unit commitment problem;Mid-term energy planning;Electric interconnections;Power markets