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The main purpose of this research paper is to investigate the long-term effects of the proposed demandside program, and its impact on annual peak load forecasting important for strategic network planning. The program comprises a particular set of demand-side measures aimed at reducing the annual peak load. The paper also presents the program simulations for the case study of the Electricity Distribution Company of Belgrade (EDB). According to the methodology used, the first step is to determine the available controllable load of the distribution utility/area under consideration. The controllable load is presumed constant over the analyzed time horizon, and the smart grid (SG) infrastructure available. The saturation of positive effects during intense program application is also taken into account. Technical and economic input data are taken from the real projects. The conducted calculations indicate that demand-side programs can bring about the same results as the energy storage in the grids with a strong impact of distributed generation from variable renewable sources (V-RES). In conclusion, the proposed demand-side program is a good alternative to building new power facilities, which can postpone investment costs for a considerable period of time.

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This paper presents the methodology applied to determine the level of acceptable costs of a Smart Grid module, able to support combined acting of demand side management (DSM) and demand response (DR) programs. The results of the methodology use have been illustrated by case studythe simulation of one particular DSM/DR program implementation throughout the whole consumption area of Electricity Distribution Company in Serbian capital, Belgrade. The results of the research show that the implementation of DSM/DR program would be useful and profitable for analyzed case study and supposed values of input dataunit costs for each part and device of the system. In order to check the certainty of these results, a sensitivity analysis has been performed, too, changing input data within reasonable limits. Resultsshow that proposed DSM/DR program implementation would be beneficial, even for increased prices of necessary equipment. NomenclatureAMR -Automated meter reading DSM -Demand side management DR -Demand response HAN -Home Area Network HV -High voltage HS -Heat storage LV -Low voltage MV -Medium voltage PV -Photovoltaic SS -Substation V-RES -Variable generation from renewable energy sources Biographies Nikola Lj. Rajakovic was born in former Yugoslavia in 1952. He earned his Dipl. Ing., Master and PhD degree at the University of Belgrade, Faculty of Electrical Engineering. Presently he is a full-time professor at the same Faculty. His research interests include steady-state analysis of power systems, power-system optimization, renewable energy sources and smart grid applications. He has published more than 200 papers (28 refereed full papers in Scientific Journals), he has been the leader in more than 30 applied projects and published 5 books.Prof Rajakovic is a senior member of IEEE, a member of CIGRE and chairman of Energy Association in Serbia.Vladimir M. Shiljkut (Šiljkut) was born in Belgrade, Serbia (former Yugoslavia). He earned his Dipl. Ing. degree in 1994 at the University of Belgrade, Faculty of Electrical Engineering. He is PhD candidate at the same Faculty. Since 1995 until 2013 he was with Electricity Distribution Company "Elektrodistribucija Beograd". Currently, he is the Manager of the Sector for trade and tariff customers' relations in Power Industry of Serbia, Belgrade. He is the author and co-author of more than 50 papers, in Serbian and English. These works deal with load forecasting methods, optimal network planning, power losses estimation, renewable sources, power transformers, metrology, etc.Mr. Shiljkut is the member of CIRED Liaison Committee of Serbia and its two Experts Committees -Distribution substations and power lines, and Power distribution system development.

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