Title :
Assessing the Impact of Incentive Regulation for Innovation on RES Integration
Author :
Siano, Pierluigi
Author_Institution :
Dept. of Ind. Eng., Univ. of Salerno, Salerno, Italy
Abstract :
Investing in innovative Smart Grids (SGs) technology can reduce overall investments in distribution systems with unpredictable renewable energy sources (RES). Regulators should, therefore, decide what incentives are desirable and design a flexible economic regulatory framework able to encourage distribution system operators (DNOs) to decide for innovation in the SGs. An innovative method that can support the regulators in encouraging RES exploitation by determining the right incentives to favor investments in innovation in an electrical distribution network is proposed in this paper. The method allows stakeholders like regulators, distribution companies and developers evaluating the long-term economic effects of their decisions. The effectiveness of the proposed method, based on non-dominated sorting genetic algorithm (NSGA-II) and on multi-period optimal power flow (MP-OPF), is verified on an 84-bus network.
Keywords :
genetic algorithms; investment; load flow; power distribution economics; power distribution planning; power markets; renewable energy sources; smart power grids; MP-OPF; NSGA-II; RES integration; distribution system operator; electrical distribution network; flexible economic regulatory; incentive regulation impact assessment; investment reduction; multiperiod optimal power flow; nondominated sorting genetic algorithm; power distribution economics; renewable energy sources; smart grid; stakeholders; Companies; Economics; Investment; Optimization; Regulators; Smart grids; Technological innovation; Power distribution; power system economics; power system management; power system planning; power system simulation; smart grids; wind energy generation;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2014.2304831