Automatic generation control of a large hydropower plant with head‐sensitive forbidden and restricted zones

Head-sensitive forbidden and restricted zones of large hydropower units are challenging the automatic generation control (AGC) as admissible operating zones are discontinuous and variational. This study focuses on the AGC of such a large hydropower plant to ensure the stability, security and timeliness of power grids. A methodology is developed to solve the unit commitment (UC) and load distribution in AGC. This methodology identifies in advance all feasible unit combinations under different water heads and determines admissible operating zones using combinatorial mathematics techniques. A fast strategy that includes the accurate estimation of varying water heads helps to eliminate infeasible unit combinations. Minimising the number of units working in restricted zones and times of unit output passing through forbidden zones is used to optimise the UC, where priority orders of units are introduced to evaluate UC schemes with the same objective value. Finally, a dynamic programming based model is formulated to solve an economic load distribution among operating units. The methodology is applied to the AGC of the Nuozhadu with nine 650 MW units of two different types. Three cases indicate that the number of units working in restricted zones and times of unit output passing through forbidden zones is significantly reduced.

[1]  Ali Mohammad Ranjbar,et al.  Application of Edge theorem for robust stability analysis of a power system with participating wind power plants in automatic generation control task , 2017 .

[2]  Chuntian Cheng,et al.  Comparison of particle swarm optimization and dynamic programming for large scale hydro unit load dispatch , 2009 .

[3]  Erlon Cristian Finardi,et al.  Hydro unit commitment and loading problem for day-ahead operation planning problem , 2013 .

[4]  Erlon Cristian Finardi,et al.  Unit commitment of single hydroelectric plant , 2005 .

[5]  Ximing Cai,et al.  Finding multiple optimal solutions to optimal load distribution problem in hydropower plant , 2012 .

[6]  M. Shahidehpour,et al.  Price-based unit commitment: a case of Lagrangian relaxation versus mixed integer programming , 2005, IEEE Transactions on Power Systems.

[7]  Xiang Li,et al.  Hydro Unit Commitment via Mixed Integer Linear Programming: A Case Study of the Three Gorges Project, China , 2014, IEEE Transactions on Power Systems.

[8]  A. Borghetti,et al.  An MILP Approach for Short-Term Hydro Scheduling and Unit Commitment With Head-Dependent Reservoir , 2008, IEEE Transactions on Power Systems.

[9]  Edson da Costa Bortoni,et al.  Online optimal power distribution between units of a hydro power plant , 2015 .

[10]  Xueqing Zhang,et al.  Unit commitment using Lagrangian relaxation and particle swarm optimization , 2014 .

[11]  Claudio Gentile,et al.  Solving unit commitment problems with general ramp constraints , 2008 .

[12]  Nand Kishor,et al.  A literature survey on load–frequency control for conventional and distribution generation power systems , 2013 .

[13]  John W. Labadie,et al.  Dynamic Optimal Unit Commitment and Loading in Hydropower Systems , 2003 .

[14]  Lei Guo,et al.  PID controller design for second order nonlinear uncertain systems , 2017, Science China Information Sciences.

[15]  Ibraheem,et al.  Recent philosophies of automatic generation control strategies in power systems , 2005, IEEE Transactions on Power Systems.

[16]  A. Rudolf,et al.  A genetic algorithm for solving the unit commitment problem of a hydro-thermal power system , 1999 .

[17]  Dingyi Wang,et al.  Application of operations research in automatic generation control of hydropower plants , 1989 .

[18]  Chuntian Cheng,et al.  Short-Term Scheduling for Large-Scale Cascaded Hydropower Systems with Multivibration Zones of High Head , 2012 .

[19]  Chuntian Cheng,et al.  Hydro Unit Commitment With a Head-Sensitive Reservoir and Multiple Vibration Zones Using MILP , 2016, IEEE Transactions on Power Systems.

[20]  Ertuğrul Çam,et al.  Application of fuzzy logic for load frequency control of hydroelectrical power plants , 2007 .

[21]  Xiaohong Guan,et al.  An MILP Based Formulation for Short-Term Hydro Generation Scheduling With Analysis of the Linearization Effects on Solution Feasibility , 2013, IEEE Transactions on Power Systems.

[22]  Shokri Z. Selim,et al.  Integrating genetic algorithms, tabu search, and simulated annealing for the unit commitment problem , 1999 .

[23]  James D. McCalley,et al.  An AGC Dynamics-Constrained Economic Dispatch Model , 2019, IEEE Transactions on Power Systems.

[24]  Jian Wang,et al.  Optimal Operation of Interprovincial Hydropower System Including Xiluodu and Local Plants in Multiple Recipient Regions , 2019, Energies.