scholarly journals Combined Heat and Power Dynamic Economic Dispatch with Emission Limitations Using Hybrid DE-SQP Method

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
A. M. Elaiw ◽  
X. Xia ◽  
A. M. Shehata
Keyword(s):  
Optimal Solution ◽  
Combined Heat And Power ◽  
Fine Tuning ◽  
Ramp Rate ◽  
Sqp Method ◽  
Power Dynamic ◽  
Global Optimizer ◽  
Dynamic Economic Dispatch ◽  
Emission Dispatch ◽  
Constrained Multiobjective Optimization

Combined heat and power dynamic economic emission dispatch (CHPDEED) problem is a complicated nonlinear constrained multiobjective optimization problem with nonconvex characteristics. CHPDEED determines the optimal heat and power schedule of committed generating units by minimizing both fuel cost and emission simultaneously under ramp rate constraints and other constraints. This paper proposes hybrid differential evolution (DE) and sequential quadratic programming (SQP) to solve the CHPDEED problem with nonsmooth and nonconvex cost function due to valve point effects. DE is used as a global optimizer, and SQP is used as a fine tuning to determine the optimal solution at the final. The proposed hybrid DE-SQP method has been tested and compared to demonstrate its effectiveness.

scholarly journals Hybrid DE-SQP Method for Solving Combined Heat and Power Dynamic Economic Dispatch Problem

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
A. M. Elaiw ◽  
X. Xia ◽  
A. M. Shehata
Keyword(s):  
Power Systems ◽  
Economic Dispatch ◽  
Optimal Solution ◽  
Combined Heat And Power ◽  
Fine Tuning ◽  
Ramp Rate ◽  
Sqp Method ◽  
Power Dynamic ◽  
Global Optimizer ◽  
Dynamic Economic Dispatch

Combined heat and power dynamic economic dispatch (CHPDED) plays a key role in economic operation of power systems. CHPDED determines the optimal heat and power schedule of committed generating units by minimizing the fuel cost under ramp rate constraints and other constraints. Due to complex characteristics, heuristic and evolutionary based optimization approaches have became effective tools to solve the CHPDED problem. This paper proposes hybrid differential evolution (DE) and sequential quadratic programming (SQP) to solve the CHPDED problem with nonsmooth and nonconvex cost function due to valve point effects. DE is used as a global optimizer and SQP is used as a fine tuning to determine the optimal solution at the final. The proposed hybrid DE-SQP method has been tested and compared to demonstrate its effectiveness.

scholarly journals Dynamic Economic Dispatch Using Hybrid DE-SQP for Generating Units with Valve-Point Effects

2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
A. M. Elaiw ◽  
X. Xia ◽  
A. M. Shehata
Keyword(s):  
Quadratic Programming ◽  
Differential Evolution ◽  
Sequential Quadratic Programming ◽  
Economic Dispatch ◽  
Optimal Solution ◽  
Fine Tuning ◽  
Sqp Method ◽  
Test Systems ◽  
Global Optimizer ◽  
Dynamic Economic Dispatch

This paper presents hybrid differential evolution (DE) and sequential quadratic programming (SQP) for solving the dynamic economic dispatch (DED) problem for generating units with valve-point effects. DE is used as a global optimizer and SQP is used as a fine tuning to determine the optimal solution at the final. The feasibility of the proposed method is validated with five-and ten-unit test systems. Results obtained by DE-SQP method are compared with other techniques in the literature.

Hybrid PSO-SQP for solving combined heat and power dynamic economic emission dispatch problem with non-smooth cost function

2017 ◽  
Vol 8 (1) ◽  
pp. 85 ◽  
Author(s):  
A. M. Shehata
Keyword(s):  
Optimal Solution ◽  
Combined Heat And Power ◽  
Test System ◽  
Primary Objective ◽  
Global Optimal Solution ◽  
Power Dynamic ◽  
Hybrid Particle Swarm Optimization ◽  
Global Optimal ◽  
Emission Dispatch ◽  
Economic Emission Dispatch

In this paper we propose a hybrid particle swarm optimization (PSO) and sequential quadratic programming (SQP) for solving the combined heat and power dynamic economic emission dispatch (CHPDEED) problem. The primary objective of CHPDEED is to determine the optimal heat and power generation schedule of the online generating units over a fixed interval by simultaneously minimizing the generation cost and emission level and satisfying the dynamic constraints and other constraints. Taking into account the valve point effects, CHPDEED is considered as a multi-objective optimization problem with non-smooth characteristics. In the hybrid method, PSO is used as a global search to find near global optimal solution and this solution is used as initial for the SQP to find the global optimal solution at the end. The proposed method is verified using a test system consisting of eleven units and considering transmission line losses and valve point effects. The numerical results show the effectiveness and the superiority of the introduced method over other published methods.

A new multi-objective reserve constrained combined heat and power dynamic economic emission dispatch

Energy ◽  
2012 ◽  
Vol 42 (1) ◽  
pp. 530-545 ◽  
Author(s):  
Taher Niknam ◽  
Rasoul Azizipanah-Abarghooee ◽  
Alireza Roosta ◽  
Babak Amiri
Keyword(s):  
Combined Heat And Power ◽  
Power Dynamic ◽  
Multi Objective ◽  
Emission Dispatch ◽  
Economic Emission Dispatch

scholarly journals Optimal Economic and Emission Dispatch of a Microgrid with a Combined Heat and Power System

Energies ◽  
2019 ◽  
Vol 12 (4) ◽  
pp. 604 ◽  
Author(s):  
Liangce He ◽  
Zhigang Lu ◽  
Lili Pan ◽  
Hao Zhao ◽  
Xueping Li ◽  
...  
Keyword(s):  
Power Systems ◽  
Rapid Development ◽  
Optimal Solution ◽  
Economic Cost ◽  
Combined Heat And Power ◽  
Environmental Cost ◽  
Pv System ◽  
Bacterial Colony ◽  
Multi Objective ◽  
Emission Dispatch

With the rapid development of the new concept of energy internet, electric power systems often need to be investigated together with thermal energy systems. Additionally, to reduce pollution from gas emissions, it is very important to study the economic and emission dispatch of integrated electrical and heating systems. Hence, this paper proposes a multi-objective optimization dispatch model for a microgrid (MG) with a combined heat and power (CHP) system. This CHP-based MG system consists of a CHP unit, a wind turbine, a PV system, a fuel cell, an electric boiler, an electric storage, and a heat storage. It can exchange electricity with the distribution network and exchange heat with the district heating network. Minimum economic cost and minimum environmental cost are considered as the two objectives for the operation of this CHP-based MG system. To solve the two objective optimization problem, the multi-objective bacterial colony chemotaxis algorithm is utilized to obtain the Pareto optimal solution set, and the optimal solution is chosen by the Technique for Order of Preference by Similarity to Ideal Solution method. Finally, numerical case studies demonstrate the effectiveness of proposed model and method for the optimal economic and emission dispatch of the CHP-based MG system.

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