Distributed Neuro-Dynamic Optimization for Multi-Objective Power Management Problem in Micro-Grid
This paper focuses on a multi-objective power management problem considering demand response in micro grid. The multi-objective problem consists of four conflicting objective functions: the average efficiency function of DG (Diesel Generation) unit, the emission of micro-grid, the dissatisfaction ca...
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| Veröffentlicht in: | Neurocomputing (Amsterdam) Jg. 362; S. 51 - 59 |
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| Sprache: | Englisch |
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14.10.2019
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| ISSN: | 0925-2312, 1872-8286 |
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| Abstract | This paper focuses on a multi-objective power management problem considering demand response in micro grid. The multi-objective problem consists of four conflicting objective functions: the average efficiency function of DG (Diesel Generation) unit, the emission of micro-grid, the dissatisfaction caused by demand response and the total profit function. A single-objective product formulation is applied to convert the multi-objective optimization problem into a single-objective optimization problem. It is shown that the optimal solution of single-objective problem is a pareto optimal point of the original multi-objective problem. Then, using a logarithmic obstacle penalty parameter to deal with the inequality constraint, a distributed neuro-dynamic algorithm is proposed for the aforementioned single-objective optimization problem. Lasalle’s invariance principle and Lyapunov function are used to prove that the proposed algorithm can converge to the optimal solution. Finally, the numerical simulation in the micro-grid illustrates the feasibility of the proposed algorithm. |
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| AbstractList | This paper focuses on a multi-objective power management problem considering demand response in micro grid. The multi-objective problem consists of four conflicting objective functions: the average efficiency function of DG (Diesel Generation) unit, the emission of micro-grid, the dissatisfaction caused by demand response and the total profit function. A single-objective product formulation is applied to convert the multi-objective optimization problem into a single-objective optimization problem. It is shown that the optimal solution of single-objective problem is a pareto optimal point of the original multi-objective problem. Then, using a logarithmic obstacle penalty parameter to deal with the inequality constraint, a distributed neuro-dynamic algorithm is proposed for the aforementioned single-objective optimization problem. Lasalle’s invariance principle and Lyapunov function are used to prove that the proposed algorithm can converge to the optimal solution. Finally, the numerical simulation in the micro-grid illustrates the feasibility of the proposed algorithm. |
| Author | Liang, Xiaowei He, Xing Huang, Tingwen |
| Author_xml | – sequence: 1 givenname: Xiaowei surname: Liang fullname: Liang, Xiaowei email: 15334545503@163.com organization: Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, College of Electronic and Information Engineering, Southwest University, Chongqing 400715, China – sequence: 2 givenname: Xing surname: He fullname: He, Xing email: hexingdoc@swu.edu.cn organization: Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, College of Electronic and Information Engineering, Southwest University, Chongqing 400715, China – sequence: 3 givenname: Tingwen orcidid: 0000-0001-9610-846X surname: Huang fullname: Huang, Tingwen email: tingwen.huang@qatar.tamu.edu organization: Texas A & M University at Qatar, Doha 5825, Qatar |
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| Keywords | Micro-grid Multi-objective optimization Demand response Neuro-dynamic algorithm |
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Appl. – volume: 84 start-page: 113 year: 2016 ident: 10.1016/j.neucom.2019.05.096_bib0016 article-title: A neurodynamic approach to convex optimization problems with general constraint publication-title: Neural Netw. – volume: 91 start-page: 283 year: 2015 ident: 10.1016/j.neucom.2019.05.096_bib0008 article-title: A cost-efficient and reliable energy management of a micro-grid using intelligent demand-response program publication-title: Energy – volume: 47 start-page: 337 year: 2017 ident: 10.1016/j.neucom.2019.05.096_bib0027 article-title: Application of distributed consensus algorithm to maximize social welfare in a micro grid(in chinese) publication-title: Sci. Sin. Inform. – volume: 80 start-page: 123 year: 2015 ident: 10.1016/j.neucom.2019.05.096_bib0004 article-title: A real-time demand response algorithm for heterogeneous devices in buildings and homes publication-title: Energy – volume: 183 start-page: 232 issue: 1 year: 2006 ident: 10.1016/j.neucom.2019.05.096_bib0011 article-title: A particle swarm optimization approach to the nonlinear resource allocation problem publication-title: Appl. Math. Comput. – volume: 36 start-page: 5716 issue: 9 year: 2011 ident: 10.1016/j.neucom.2019.05.096_bib0013 article-title: Optimal real time pricing in an agent-based retail market using a comprehensive demand response model publication-title: Energy – volume: 36 start-page: 6490 issue: 11 year: 2011 ident: 10.1016/j.neucom.2019.05.096_bib0024 article-title: Multi-objective operation management of a renewable MG (micro-grid) with back-up micro-turbine/fuel cell/battery hybrid power source publication-title: Energy – volume: 25 start-page: 824 issue: 4 year: 2014 ident: 10.1016/j.neucom.2019.05.096_bib0019 article-title: A recurrent neural network for solving bilevel linear programming problem publication-title: IEEE Trans. Neural Netw. Learn. Syst. – volume: 70 start-page: 169 year: 2018 ident: 10.1016/j.neucom.2019.05.096_bib0026 article-title: Multi-objective transmission congestion management considering demand response programs and generation rescheduling publication-title: Appl. Soft Comput. – volume: 83 start-page: 45 year: 2015 ident: 10.1016/j.neucom.2019.05.096_bib0010 article-title: Distributed gradient algorithm for constrained optimization with application to load sharing in power systems publication-title: Syst. Control Lett. – volume: 3 start-page: 1988 issue: 4 year: 2012 ident: 10.1016/j.neucom.2019.05.096_bib0009 article-title: Real-time central demand response for primary frequency regulation in microgrids publication-title: IEEE Trans. Smart Grid |
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| Title | Distributed Neuro-Dynamic Optimization for Multi-Objective Power Management Problem in Micro-Grid |
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