A quantitative analysis of turkey's 2011 elections

The changes in Turkey's political landscape over the past decade have been quite dramatic. In this study, we present a quantitative analysis of the 2011 national elections based on clustering techniques and we compare our results with those of the previous elections in 1999, 2002, and 2009. Our results suggest, once again, that Turkish citizens turn out to vote consistently since the1950s. We also investigate significant changes in voting trends of different regions and provinces. We conclude with a future-based qualitative outlook to indicate what the results could be if certain electoral changes are made, such as the law for political parties, a different national threshold for parties to be represented and elected to Parliament, and an eventual new constitution

Demand Response Design and Use Based on Network Locational Marginal Prices

Power systems have been experiencing huge changes mainly due to the substantial increase of distributed generation (DG) and the operation in competitive environments. Virtual Power Players (VPP) can aggregate several players, namely a diversity of energy resources, including distributed generation (DG) based on several technologies, electric storage systems (ESS) and demand response (DR). Energy resources management gains an increasing relevance in this competitive context. This makes the DR use more interesting and flexible, giving place to a wide range of new opportunities. This paper proposes a methodology to support VPPs in the DR programs’ management, considering all the existing energy resources (generation and storage units) and the distribution network. The proposed method is based on locational marginal prices (LMP) values. The evaluation of the impact of using DR specific programs in the LMP values supports the manager decision concerning the DR use. The proposed method has been computationally implemented and its application is illustrated in this paper using a 33-bus network with intensive use of DG

Optimal Planning of Electric Power Systems

International audienceElectric power systems provide an essential service to any modern society. They are inherently large-scale dynamic systems with a high degree of spatio-temporal complexity. Their reliability and security of supply are central considerations in any regional or global energy-related policy. Methods for power systems planning have typically ensured key operational reliability aspects under normal operating conditions and in response to anticipated demand variability, uncertainty and supply disruptions, e.g. due to errors in load forecasts and to unexpected generation units outages. Solutions have been commonly built on capacity adequacy and operating reserves requirements, among others. However, recent objectives for environmental sustainability and the threats of climate change are challenging the reliability requirements of power systems in various new ways and necessitate adapted planning methods. The present chapter describes some of the issues related to the development of the integrated techno-economic modeling and robust optimization framework that is needed today for power systems planning adapted. Such planning framework should cope with the new context by addressing the challenges associated with the sustainability targets of future power systems, and most notably ensuring operational flexibility against the variability of renewable energy sources, ensuring resilience against extreme weather events and ensuring robustness against the uncertainties inherent in both the electric power supply and system load