Distributed multi-objective day-ahead generation and HVDC transmission joint scheduling for two-area HVDC-linked power grids

Abstract In order to improve the overall operation economy and efficiency of two-area HVDC-linked power grids, a distributed scheduling approach is presented in this paper for the multi-objective day-ahead generation and HVDC transmission joint scheduling (GHT-JS) problem. At first, a multi-objective day-ahead GHT-JS model is formulated aiming at minimizing the operation cost, the carbon emission and the pollutant emission, in which HVDC tie-line operation constraints are considered. Secondly, the normal boundary intersection method is implemented to transform the multi-objective GHT-JS problem into a series of single-objective GHT-JS problems. Then, a distributed scheduling model is established based on the synchronous alternating direction method of multipliers for each single-objective problem. The original problem is decomposed into an upper-level master sub-problem of coordinating HVDC transmission power and two parallel lower-level generation scheduling sub-problems. Finally, case studies of a two-area interconnected test system via two HVDC tie-lines show the effectiveness of the proposed algorithm.

[1]  John E. Dennis,et al.  Normal-Boundary Intersection: A New Method for Generating the Pareto Surface in Nonlinear Multicriteria Optimization Problems , 1998, SIAM J. Optim..

[2]  S. Baskar,et al.  NSGA-II Technique for Multi-objective Generation Dispatch of Thermal Generators with Nonsmooth Fuel Cost Functions , 2014 .

[3]  Margot Weijnen,et al.  The impact of inter-regional transmission grid expansion on China’s power sector decarbonization , 2016 .

[4]  Gengyin Li,et al.  Distributed Dispatch Approach for Bulk AC/DC Hybrid Systems with High Wind Power Penetration , 2018, 2018 IEEE Power & Energy Society General Meeting (PESGM).

[5]  Ali Esmaeel Nezhad,et al.  Applying augmented ɛ-constraint approach and lexicographic optimization to solve multi-objective hydrothermal generation scheduling considering the impacts of pumped-storage units , 2014 .

[6]  Yong Zhang,et al.  Environmental/economic power dispatch using a hybrid multi-objective optimization algorithm , 2010 .

[7]  A. Conejo,et al.  Multi-Area Unit Scheduling and Reserve Allocation Under Wind Power Uncertainty , 2014 .

[8]  A. Conejo,et al.  Multi-Area Energy and Reserve Dispatch Under Wind Uncertainty and Equipment Failures , 2013, IEEE Transactions on Power Systems.

[9]  Provas Kumar Roy,et al.  A multi-objective hybrid evolutionary algorithm for dynamic economic emission load dispatch , 2016 .

[10]  Vassilios G. Agelidis,et al.  Multi-objective economic emission dispatch considering combined heat and power by normal boundary intersection method , 2015 .

[11]  Jian Sun,et al.  Renewable energy transmission by HVDC across the continent: system challenges and opportunities , 2017 .

[12]  Zijun Liang,et al.  Distributed Optimal Power Flow of AC/DC Interconnected Power Grid Using Synchronous ADMM , 2017 .

[13]  Mingbo Liu,et al.  Multiobjective Stochastic Economic Dispatch With Variable Wind Generation Using Scenario-Based Decomposition and Asynchronous Block Iteration , 2016, IEEE Transactions on Sustainable Energy.

[14]  Antonio J. Conejo,et al.  Electricity production scheduling under uncertainty: Max social welfare vs. min emission vs. max renewable production , 2017 .

[15]  Ali Esmaeel Nezhad,et al.  Multi-objective programming of pumped-hydro-thermal scheduling problem using normal boundary intersection and VIKOR , 2018 .

[16]  Gengyin Li,et al.  Model and application of renewable energy accommodation capacity calculation considering utilization level of inter-provincial tie-line , 2019, Protection and Control of Modern Power Systems.

[17]  Mohammad Shahidehpour,et al.  Decentralized Contingency-Constrained Tie-Line Scheduling for Multi-Area Power Grids , 2017, IEEE Transactions on Power Systems.