Long-term forecasting of annual peak load considering effects of demand-side programs

Journal of Modern Power Systems and Clean Energy - Tập 6 - Trang 145-157 - 2017
Nikola Lj. RAJAKOVIC1, Vladimir M. SHILJKUT1,2
1Faculty of Electrical Engineering, University of Belgrade, Belgrade, Serbia
2Public Enterprise Electric Power Industry of Serbia, Belgrade, Serbia

Tóm tắt

The main purpose of this research paper is to investigate the long-term effects of the proposed demand-side 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.

Tài liệu tham khảo

Finn P, O’Connell M, Fitzpatrick C (2013) Demand side management of a domestic dishwasher: wind energy gains, financial savings and peak-time load reduction. Applied Energy 101:678–685 Zhou Q, Guan W, Sun W (2012) Impact of demand response contracts on load forecasting in a smart grid environment. In: Proceedings of IEEE Power and Energy Society General Meeting, San Diego, USA, 22–26 July 2012, 4 pp Samadi P, Mohsenian-Rad H, Schober R et al (2012) Advanced demand side management for the future smart grid using mechanism design. IEEE Trans Smart Grid 3(3):1170–1180 Benetti G, Caprino D, Vedova MLD et al (2016) Electric load management approaches for peak load reduction: a systematic literature review and state of the art. Sustainable Cities and Society 20:124–141 Hassan NU, Khalid YI, Yuen C et al (2015) Customer engagement plans for peak load reduction in residential smart grids. IEEE Trans Smart Grid 6(6):3029–3041 Gellings CW (2009) The smart grid: enabling energy efficiency and demand response. The Fairmont Press Inc, Lilburn, USA Pina A, Silva C, Ferrão P (2012) The impact of demand side management strategies in the penetration of renewable electricity. Energy J 41:128–137 Bozchalui MC, Hashmi SA, Hassen H et al (2012) Optimal operation of residential energy hubs in smart grids. IEEE Trans Smart Grid 3(4):1755–1766 McNamara P, McLoone S (2015) Hierarchical demand response for peak minimization using Dantzig-Wolfe decomposition. IEEE Trans Smart Grid 6(6):2807–2815 Barker S, Mishra A, Irwin D et al (2012) SmartCap: flattening peak electricity demand in smart homes. In: Proceedings of IEEE International Conference on Pervasive Computing and Communication, Lugano, Switzerland, 19–23 March 2012, 67–75 pp Sehar F, Pipattanasomporn M, Rahman S (2016) An energy management model to study energy and peak power savings from PV and storage in demand responsive buildings. Applied Energy 173:406–417 Shiljkut VM, Rajakovic NLj (2015) Demand response capacity estimation in various supply areas. Energy J 92:476–486 Rajakovic N, Shiljkut V, Misovic D et al (2014) Power transformer monitoring and AMR system support for combined operation of distributed RES and demand side management. In: Proceedings of CIRED Workshop, Rome, Italy, 11–12 June 2014, 5 pp Rajakovic N, Shiljkut V (2014) Determination of the amount of cost-effective DSM/DR module. In: Proceedings of the MedPower 9th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion, Athens, Greece, 2–5 November 2014, 8 pp Shiljkut V, Rajakovic N (2016) Determination of optimal number of RES units in a smart low voltage grid with demand response program’s application. In: Proceedings of the 2nd Conference on Sustainable Development of Energy, Water and Environment Systems, Piran, Slovenia, 15–18 June 2016 Maksimovich SM, Shiljkut VM (2009) Peak load forecasting afterwards its intensive reduction. IEEE Trans Power Delivery 24(3):1552–1559 Papalexopoulos A, Beal J, Florek S (2013) Precise mass-market energy demand management through stochastic distributed computing. IEEE Trans Smart Grid 4(4):2017–2027 Liang Y, Levine DI, Shen ZJ (2012) Thermostats for the smart grid: models, benchmarks, and insights. Energy J 33(4):61–95 Maksimovic S, Tanaskovic M (2002) Energetski efekti novog tarifnog sistema za prodaju električne energije. In: Proceedings of Juko CIRED 3rd Conference, Vrnjacka Banja, Serbia, September 2002