Optymalizacja pracy systemu dystrybucyjnego poprzez odpowiednią alokację oraz sterowanie

• Autorzy: Andrychowicz M.

Identyfikatory

DOI

10.26325/techiss.2017.1.1

Warianty tytułu

EN

Optimization of distribution energy system by proper allocation and operation of RES

• Języki publikacji: PL

Abstrakty

EN

The paper is dedicated to prove that it is possible to maximize energy production from Renewable Energy Sources (RES) by their allocation taking into consideration their volatile character of work. Annual energy maximization is the objective function in the analysis. It calculates as a product of installed capacity and capacity factor. Power flows are also calculated in the optimization process. The process uses real generation and demand profiles and is made as Mixed Integer-Linear Programming (MIPL) using software FICO® XPRESS. This method can be used by Distribution System Operators to estimate the potential of each distribution system.

Słowa kluczowe

EN

distribution system; Renewable Energy Sources; allocation

• Wydawca: ADVSEO sp. z o. o.
• Czasopismo: Technical Issues
• Rocznik: 2017
• Tom: nr 1
• Strony: 3--7
• Opis fizyczny: Bibliogr. 11 poz., rys.

Twórcy

autor

Andrychowicz M.

• Politechnika Łódzka Wydział Elektrotechniki, Elektroniki, Informatyki i Automatyki Instytut Elektroenergetyki ul. Bohdana Stefanowskiego 18/22 90-924 Łódź

Bibliografia

• 1. Aman, M.M., Jasmon, G.B., Bakar, A.H.A., and Mokhlis, H., A new approach for optimum DG placement and sizing based on voltage stability maximization and minimization of power losses, Energy Convers. Manag., 2013, vol. 70, pp. 202–210.
• 2. Doagou-Mojarrad, H., Gharehpetian, G.B., Rastegar, H., Olamaei, J., Optimal placement and sizing of DG (distributed generation) units in distribution networks by novel hybrid evolutionary algorithm, Energy, 2013, vol. 54, pp. 129–138.
• 3. Esmaili, M., Placement of minimum distributed generation units observing power losses and voltage stability with network constraints, IET Gener. Transm. Distrib., 2013, vol. 7, No. 8, pp. 813–821.
• 4. Gautam, D., Mithulananthan, N., Optimal DG placement in deregulated electricity market, Electr. Power Syst. Res., 2007, vol. 77, No. 12, pp. 1627–1636.
• 5. Gil Mena, A.J., Martín García, J.A., An efficient approach for the siting and sizing problem of distributed generation, Int. J. Electr. Power Energy Syst., 2015, vol. 69, pp. 167–172.
• 6. Hung, D.Q., Mithulananthan, N., Lee, K.Y., Optimal placement of dispatchable and nondispatchable renewable DG units in distribution networks for minimizing energy loss, Int. J. Electr. Power Energy Syst., vol. 55, pp. 179–186.
• 7. International Energy Agency, Energy and climate change, Preserv. Glob. Environ. Chall. Shar. Leadersh, 2015.
• 8. Mohandas, N., Balamurugan, R., and Lakshminarasimman, L., Optimal location and sizing of real power DG units to improve the voltage stability in the distribution system using ABC algorithm united with chaos, Int. J. Electr. Power Energy Syst., 2015, vol. 66, pp. 41–52.
• 9. Rosseti, G.J.S., de Oliveira, E.J., de Oliveira, L.W., Silva, I.C., Peres, W., Optimal allocation of distributed generation with reconfiguration in electric distribution systems, Electr. Power Syst. Res., 2013, vol. 103, pp. 178–183.
• 10. Rudion, K., Orths, A., Styczynski, Z.A., Strunz, K., Design of benchmark of medium voltage distribution network for investigation of DG integration. IEEE Power Engineering Society General Meeting, 2006, p. 6.
• 11. Singh, A.K., Parida, S.K., Novel sensitivity factors for DG placement based on loss reduction and voltage improvement, Int. J. Electr. Power Energy Syst., 2016, vol. 74, pp. 453–456.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).