2021 | OriginalPaper | Chapter
Hint
Swipe to navigate through the chapters of this book
Published in:
Recent Innovations in Computing
Currently, the majority of the world’s electricity demand is met by thermal power generation stations that run purely on traditional fossil fuels. Utilities rely mainly on these sources to spend huge revenue to meet the ever-increasing demand for electricity. This motivates utilities to manage their generation most cost-effectively according to the load demand. Thus, an optimum generation allocation among the various power generating units can save considerable fuel inputs and expenses. Extending this optimization technique to decide which of these units would participate in the optimum allocation could theoretically save a greater amount of fuel costs. In other words, the determination of whether the device has to be ON/OFF is important. This is termed as unit commitment (UC). As for deciding the optimal generation dispatch for the minimum cost, a complete optimal power flow (OPF) is run over the UC time horizon for each hour’s commitment. Conventional OPF solves all constraints such as fixed bus voltage limits, line power flows, transformer tap positions, etc., for optimum dispatch adjustment, resulting in a secure solution. In this paper, with the integration of solar thermal power plant, the total generation cost is reduced. The suggested method is tested by applying it to the standard IEEE 14 bus test system. The findings of the UC, demonstrated in both the presence and absence of STPP, show the method’s efficiency. We propose a mathematical programming-based approach with alternative current optimal power flow (ACOPF) network constraints, to optimize the unit commitment problem.
Please log in to get access to this content
To get access to this content you need the following product:
Advertisement
1.
go back to reference Kumar, D., Kumar, A., Yadav, L.K.: Unit commitment of thermal power plant in integration with wind and solar plant using genetic algorithm. Int. J. Eng. Res. Technol. 7 (2014) Kumar, D., Kumar, A., Yadav, L.K.: Unit commitment of thermal power plant in integration with wind and solar plant using genetic algorithm. Int. J. Eng. Res. Technol.
7 (2014)
2.
go back to reference Zhao, B., Guo, C.X., Bai, B.R., Cao, Y.J.: An improved particle swarm optimization algorithm for unit commitment. Int. J. Electr. Power and Energy Syst. 24 (2006) Zhao, B., Guo, C.X., Bai, B.R., Cao, Y.J.: An improved particle swarm optimization algorithm for unit commitment. Int. J. Electr. Power and Energy Syst.
24 (2006)
3.
go back to reference Stott, B., Alsaç, O.: Optimal power flow: Basic requirements for real-life problems and their solutions (2012) Stott, B., Alsaç, O.: Optimal power flow: Basic requirements for real-life problems and their solutions (2012)
4.
go back to reference Garver, L.L.: Power generation scheduling by integer programming—development and theory. Trans. Amer. Inst. Elect. Eng. Power App. Syst. 730–734 (1962) Garver, L.L.: Power generation scheduling by integer programming—development and theory. Trans. Amer. Inst. Elect. Eng. Power App. Syst. 730–734 (1962)
5.
go back to reference Rajan, D., Takriti, S.: Minimum up/down polytopes of the unit commitment problem with start-up costs. IBM, Res. Rep. RC23628 (2005) Rajan, D., Takriti, S.: Minimum up/down polytopes of the unit commitment problem with start-up costs. IBM, Res. Rep. RC23628 (2005)
6.
go back to reference Carrión, M., Arroyo, J.: A computationally efficient mixed-integer linear formulation for the thermal unit commitment problem. IEEE Trans. Power Syst. 69–77 (2011) Carrión, M., Arroyo, J.: A computationally efficient mixed-integer linear formulation for the thermal unit commitment problem. IEEE Trans. Power Syst. 69–77 (2011)
7.
go back to reference Ostrowski, J., Anjos, M.F., Vannelli, A.: Tight mixed integer linear programming formulations for the unit commitment problem. IEEE Trans. Power Syst. 39–46 (2012) Ostrowski, J., Anjos, M.F., Vannelli, A.: Tight mixed integer linear programming formulations for the unit commitment problem. IEEE Trans. Power Syst. 39–46 (2012)
8.
go back to reference Morales-España, G., Atorre, J.M., Ramos, A.: Tight and compact MILP formulation for the thermal unit commitment problem. IEEE Trans. Power Syst., 4897–4908 (2013) Morales-España, G., Atorre, J.M., Ramos, A.: Tight and compact MILP formulation for the thermal unit commitment problem. IEEE Trans. Power Syst., 4897–4908 (2013)
9.
go back to reference Atakan, S., Lulli, G., Sen, S.: An improved MIP formulation for the unit commitment problem (2015) Atakan, S., Lulli, G., Sen, S.: An improved MIP formulation for the unit commitment problem (2015)
10.
go back to reference Jabr, R.A.: Tight polyhedral approximation for mixed-integer linear programming unit commitment formulations. IET Gener. Transm. Distrib. 1104–1111 (2012) Jabr, R.A.: Tight polyhedral approximation for mixed-integer linear programming unit commitment formulations. IET Gener. Transm. Distrib. 1104–1111 (2012)
11.
go back to reference Morales, J.M., Conejo, A.J., Pérez-Ruiz, J.: Economic valuation of reserves in power systems with high penetration of wind power. IEEE Trans. Power Syst. 900–910 (2009) Morales, J.M., Conejo, A.J., Pérez-Ruiz, J.: Economic valuation of reserves in power systems with high penetration of wind power. IEEE Trans. Power Syst. 900–910 (2009)
12.
go back to reference Wu, L., Shahidehpour, M.: Accelerating benders decomposition for network-constrained unit commitment problems. Energy Syst. 1(3):339–376 (2010) Wu, L., Shahidehpour, M.: Accelerating benders decomposition for network-constrained unit commitment problems. Energy Syst.
1(3):339–376 (2010)
13.
go back to reference Feizollahi, M.J., Costley, M., Ahmed, S., Grijalva, S.: Large-scale decentralized unit commitment. Electr. Power Energy Syst 97–106 (2015) Feizollahi, M.J., Costley, M., Ahmed, S., Grijalva, S.: Large-scale decentralized unit commitment. Electr. Power Energy Syst 97–106 (2015)
14.
go back to reference Padhy, N.: Unit commitment—a bibliographical survey. IEEE Trans. Power Syst. 1196–1205 (2004) Padhy, N.: Unit commitment—a bibliographical survey. IEEE Trans. Power Syst. 1196–1205 (2004)
15.
go back to reference Bhardwaj, A., Kamboj, K., Shukla, V., Singh, B., Khurana, P.: Unit commitment in electrical power system—a literature review. In: Proceeding IEEE PEOCO, Melaka, Malaysia (2012) Bhardwaj, A., Kamboj, K., Shukla, V., Singh, B., Khurana, P.: Unit commitment in electrical power system—a literature review. In: Proceeding IEEE PEOCO, Melaka, Malaysia (2012)
16.
go back to reference Xiu, L., Kang, Z., Huang, P.: Unit commitment using improved adjustable robust optimization for large-scale new energy power stations (2019) Xiu, L., Kang, Z., Huang, P.: Unit commitment using improved adjustable robust optimization for large-scale new energy power stations (2019)
- Title
- Optimal Unit Commitment for Secure Operation of Solar Energy Integrated Smart Grid
- DOI
- https://doi.org/10.1007/978-981-15-8297-4_56
- Authors:
-
Aniket Agarwal
Kirti Pal
- Publisher
- Springer Singapore
- Sequence number
- 56