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.

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.

Reactive Power Optimization in Distribution Network with PV Station Based on Intelligence Algorithm

2013 ◽  
Vol 753-755 ◽  
pp. 2429-2432
Author(s):  
Xin Wei Ren ◽  
Jian Zheng Xu
Keyword(s):  
Power Loss ◽  
Reactive Power ◽  
Optimal Solution ◽  
Active Power ◽  
Reactive Power Optimization ◽  
Pv System ◽  
Voltage Level ◽  
Bacterial Colony ◽  
Calculation Results ◽  
Power Problem

Reactive power problem of PV station in distribution power system is discussed. Probability theory is introduced to calculate the expectation of active power, which is approximately used to replace the randomly changing output. Reactive output can be adjusted by changing some related parameters of the grid-connected PV system. Considering reactive power of PV station as control variables, a model with voltage level constraints of minimizing the active power loss is established and its optimal solution is figured out with IBCC (Improved Bacterial Colony Chemotaxis). Case calculation results show the validity of above-mentioned model and algorithm.

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.

Technical and Economical Assessment of using Static Compensators for Improving Power Quality in Distribution Power Systems

2018 ◽  
Vol 8 (3) ◽  
Author(s):  
Reza Tajik
Keyword(s):  
Power Systems ◽  
Power Quality ◽  
Low Cost ◽  
Optimal Solution ◽  
Distribution Networks ◽  
Mixed Integer ◽  
Objective Functions ◽  
Dynamic Voltage Restorer ◽  
Multi Objective ◽  
Hybrid Devices

Nowadays, various issues regarding the power quality have been widely considered. Regarding to the progress made in power electronics in recent years, the best way to improve the reliability of reducing voltage deviations, reducing losses, and generally providing high quality to consumers is to use custom power devices (CPDs). Series, parallel, or hybrid devices come from a subset of CPDs such as a dynamic voltage restorer, distribution static compensator, and unified power quality conditioner. In this work, the purpose of place these devices are to achieve various goals of improving power quality and reducing system costs. To achieve these goals, at first, the problem of single-objective optimization for each of the objective functions was solved separately. After determining the optimal value of each of the objective functions, the fuzzy membership functions for each of the objective functions were suitably optimized for each objective function. A mixed integer genetic algorithm was used to find the optimal answer to this multi-objective problem. The simulation results show that the proposed algorithm has worked well to find the optimal solution. The results of multi-objective planning proposed in this study show that with proper planning, it can be done at a low cost and even with a relatively high profit to cost and with the proper place of CPDs, to solve issues related to power quality issues in distribution networks.

scholarly journals Genetic Algorithm for the Multi-Objective Optimization of Product Gene

2012 ◽  
Vol 6-7 ◽  
pp. 116-121
Author(s):  
Qing Song Ai ◽  
Zhou Liu ◽  
Yan Wang
Keyword(s):  
Genetic Algorithm ◽  
Genetic Engineering ◽  
Manufacturing Industry ◽  
Optimization Problems ◽  
Rapid Development ◽  
Optimal Solution ◽  
Adaptive Mutation ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Modified Genetic Algorithm

In order to adapt to the rapid development of the manufacturing industry, product genetic engineering arises at the historic moment. Finding the optimal solution under more than one decision variables of the solution set is becoming the most important problems that we should solve. In this paper, we proposed a modified genetic algorithm to solve gene product genetic engineering of multi-objective optimization problems. The new concepts such as matrix encoding, column crossover and adaptive mutation are proposed as well. Experimental results show that the modified genetic algorithm can find the optimal solutions and match the customer’s expectations in modern manufacture.

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