A new algorithm for combined heat and power dynamic economic dispatch considering valve-point effects

被引：57

作者：

Bahmani-Firouzi, Bahman ^{[1
]}

Farjah, Ebrahim ^{[1
]}

Seifi, Alireza ^{[1
]}

机构：

[1] Shiraz Univ, Sch Elect & Comp Engn, Dept Power & Control Eng, Shiraz, Iran

来源：

ENERGY | 2013年 / 52卷

关键词：

Self-adaptive learning charged system search algorithm; Cogeneration technology; Combined heat and power dynamic economic dispatch; Ramp rate limit; Spinning reserve constraint; Valve-point effects; SWARM OPTIMIZATION ALGORITHM; EMISSION DISPATCH; PROHIBITED ZONES; LOAD DISPATCH; WIND POWER; HYBRID EP; UNCERTAINTIES; HYDROGEN; UNITS; FLOW;

D O I：

10.1016/j.energy.2013.01.004

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

In this study, combined heat and power units are incorporated in the practical reserve constrained dynamic economic dispatch, which minimizes total production costs considering realistic constraints such as ramp rate limits and valve-point effects over a short time span. The integration of combined heat and power units and considering power ramp constraints for these units necessitate an efficient tool to cope with joint characteristics of electricity power-heat. Unlike pervious approaches, the system spinning reserve requirements are clearly formulated in the problem and a novel charged system search algorithm is proposed to solve it. In the proposed algorithm a novel self-adaptive learning framework, adaptive selection operation and repelling force modeling are used in order to increase the population diversity and amend the convergence criteria. The proposed framework is applied for three small, medium and large test systems in order to evaluate its efficiency and feasibility. (C) 2013 Elsevier Ltd. All rights reserved.

引用

页码：320 / 332

页数：13

共 31 条

[21] A new hybrid algorithm for optimal power flow considering prohibited zones and valve point effect [J].

Niknam, Taher ;

Narimani, Mohammad Rasoul ;

Azizipanah-Abarghooee, Rasoul .

ENERGY CONVERSION AND MANAGEMENT, 2012, 58 :197-206

[22] A new fuzzy adaptive hybrid particle swarm optimization algorithm for non-linear, non-smooth and non-convex economic dispatch problem [J].

Niknam, Taher .

APPLIED ENERGY, 2010, 87 (01) :327-339

[23] Adaptive particle swarm optimization approach for static and dynamic economic load dispatch [J].

Panigrahi, B. K. ;

Pandi, V. Ravikumar ;

Das, Sanjoy .

ENERGY CONVERSION AND MANAGEMENT, 2008, 49 (06) :1407-1415

[24] A dynamic regrouping based sequential dynamic programming algorithm for unit commitment of combined heat and power systems [J].

Rong, Aiying ;

Hakonen, Henri ;

Lahdelma, Risto .

ENERGY CONVERSION AND MANAGEMENT, 2009, 50 (04) :1108-1115

[25] Hybrid SOA-SQP algorithm for dynamic economic dispatch with valve-point effects [J].

Sivasubramani, S. ;

Swarup, K. S. .

ENERGY, 2010, 35 (12) :5031-5036

[26] Impacts of wind power on thermal generation unit commitment and dispatch [J].

Ummels, Bart C. ;

Gibescu, Madeleine ;

Pelgrum, Engbert ;

Kling, Wil L. ;

Brand, Arno J. .

IEEE TRANSACTIONS ON ENERGY CONVERSION, 2007, 22 (01) :44-51

[27] A modified hybrid EP-SQP approach for dynamic dispatch with valve-point effect [J].

Victoire, TAA ;

Jeyakumar, AE .

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2005, 27 (08) :594-601

[28] Deterministically guided PSO for dynamic dispatch considering valve-point effect [J].

Victoire, TAA ;

Jeyakumar, AE .

ELECTRIC POWER SYSTEMS RESEARCH, 2005, 73 (03) :313-322

[29] Chaotic self-adaptive particle swarm optimization algorithm for dynamic economic dispatch problem with valve-point effects [J].

Wang, Ying ;

Zhou, Jianzhong ;

Lu, Youlin ;

Qin, Hui ;

Wang, Yongqiang .

EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (11) :14231-14237

[30] Improved chaotic particle swarm optimization algorithm for dynamic economic dispatch problem with valve-point effects [J].

Wang, Ying ;

Zhou, Jianzhong ;

Qin, Hui ;

Lu, Youlin .

ENERGY CONVERSION AND MANAGEMENT, 2010, 51 (12) :2893-2900

← 1 2 3 4 →