scholarly journals Solving combined economic emission dispatch problem in wind integrated power systems

2021 ◽  
Vol 21 (2) ◽  
pp. 635
Author(s):  
Surender Reddy Salkuti
Keyword(s):  
Power Systems ◽  
Power System ◽  
Wind Energy ◽  
Wind Power ◽  
Pso Algorithm ◽  
Optimization Method ◽  
Distribution Analysis ◽  
Wind Generators ◽  
Emission Dispatch ◽  
Economic Emission Dispatch

<p>A meta-heuristic based optimization method for solving combined economic emission dispatch (CEED) problem for the power system with thermal and wind energy generating units is proposed in this paper. Wind energy is environmentally friendly and abundantly available, but the intermittency and variability of wind power affects the system operation. Therefore, the system operator (SO) must aware of wind forecast uncertainty and dispatch the wind power accordingly. Here, the CEED problem is solved by including the nonlinear characteristics of thermal generators, and the stochastic behavior of wind generators. The stochastic nature of wind generators is handled by using probability distribution analysis. The purpose of this CEED problem is to optimize fuel cost and emission levels simultaneously. The proposed problem is changed into a single objective optimization problem by using weighted sum approach. The proposed problem is solved by using particle swarm optimization (PSO) algorithm. The feasibility of proposed methodology is demonstrated on six generator power system, and the obtained results using the PSO approach are compared with results obtained from genetic algorithm (GA) and enhanced genetic algorithms (EGA).</p>

Economic emission dispatch using an advanced particle swarm optimization technique

2019 ◽  
Vol 16 (1) ◽  
pp. 23-32 ◽  
Author(s):  
Hamid Rezaie ◽  
Mehrdad Abedi ◽  
Saeed Rastegar ◽  
Hassan Rastegar
Keyword(s):  
Particle Swarm Optimization ◽  
Power Systems ◽  
Optimization Problems ◽  
Optimization Technique ◽  
Particle Swarm ◽  
Pso Algorithm ◽  
Swarm Optimization ◽  
Content Type ◽  
Emission Dispatch ◽  
Economic Emission Dispatch

Purpose This study aims to present a novel optimization technique to solve the combined economic emission dispatch (CEED) problem considering transmission losses, valve-point loading effects, ramp rate limits and prohibited operating zones. This is one of the most complex optimization problems concerning power systems. Design/methodology/approach The proposed algorithm has been called advanced particle swarm optimization (APSO) and was created by applying several innovative modifications to the classic PSO algorithm. APSO performance was tested on four test systems having 14, 40, 54 and 120 generators. Findings The suggested modifications have improved the accuracy, convergence rate, robustness and effectiveness of the algorithm, which has produced high-quality solutions for the CEED problem. Originality/value The results obtained by APSO were compared with those of several other techniques, and the effectiveness and superiority of the proposed algorithm was demonstrated. Also, because of its superlative characteristics, APSO can be applied to many other engineering optimization problems. Moreover, the suggested modifications can be easily used in other population-based optimization algorithms to improve their performance.

Identification of the Maximum Wind Penetration Level during Over-Frequency Disturbances

2013 ◽  
Vol 805-806 ◽  
pp. 364-369
Author(s):  
Yong Gang Zhang ◽  
Ming Yang Sun ◽  
Xian Feng Xu ◽  
Wei Jin Zhuang
Keyword(s):  
Power Systems ◽  
Power System ◽  
Wind Power ◽  
Short Circuit ◽  
Simulation Accuracy ◽  
Maximum Wind ◽  
Wind Generators ◽  
Load Demand ◽  
High Level ◽  
The Impact

Todays power system is integrating increasingly variable and uncertain generation resources, especially wind power. As much of wind generators in the market contribute little or none to system inertia, power system is operated much closer to its dynamic security margin. To identify the maximum wind penetration of a power system following a pre-defined disturbance, the impact of increased wind penetration on post-disturbance stability is studied. In this paper, the disturbance is simulated by a short circuit that leads to the sudden disconnection of a large amount of load demand. When wind power covers a small portion of system demand, the post-disturbance frequency is not much affected by grid-connected wind generators. But when wind penetration is increased to a comparative high level, power system loses stability in the form of undamped frequency oscillation. Simulation results show that, in the occurrence of system disturbances, 60% feed-in wind penetration will make the power system loses stability. Anyway, taking into consideration of simulation accuracy, severity of disturbances and diversity of power systems, 60% must not be a precise result, it could just be used as a reference when analyzing other grids.

A two layer differential evolution algorithm for economic emission dispatch with random wind power

2021 ◽  
pp. 1-14
Author(s):  
Chenye Qiu ◽  
Ning Liu
Keyword(s):  
Power Systems ◽  
Wind Power ◽  
Differential Evolution Algorithm ◽  
Search Performance ◽  
Fossil Energy ◽  
Mutation Strategy ◽  
Differential Evolutionary Algorithm ◽  
Evolution Algorithm ◽  
Emission Dispatch ◽  
Economic Emission Dispatch

This paper proposes a novel two layer differential evolutionary algorithm with multi-mutation strategy (TLDE) for solving the economic emission dispatch (EED) problem involving random wind power. In recent years, renewable energy such as wind power is more and more participated in the power systems to address the problems of fossil energy shortage and environmental pollution. Hence, the EED problem with the availability of random wind power is investigated in this paper. Due to the uncertain nature of wind speed, the Weibull probability distribution function is used to model the random wind power. In order to improve the search ability, TLDE divides the population into two layers according to the fitness ranking, and individuals in the two layers are treated differently to fully investigate their own potential. The two layers can cooperate with each other to further enhance the search performance by utilizing an information sharing strategy. Also, an adaptive restart scheme is introduced to avoid falling into stagnation. The performance of the proposed TLDE is testified on the 40 units system with 2 modified wind turbines. The experimental results demonstrate that the TLDE method can achieve precise dispatch strategy in EED problem with random wind power.

Dynamic Performance Assessment of Wind Energy Pump Storage Units in Crete's Power System

2014 ◽  
Vol 792 ◽  
pp. 305-310 ◽  
Author(s):  
Emmanuel Karapidakis ◽  
Pavlos Georgilakis ◽  
Antonis G. Tsikalakis ◽  
Yiannis A. Katsigiannis ◽  
Marios Moschakis
Keyword(s):  
Power Systems ◽  
Power System ◽  
Wind Energy ◽  
Wind Power ◽  
Large Scale ◽  
Storage Systems ◽  
Dynamic Performance ◽  
Autonomous Power System ◽  
The Impact ◽  
Storage Units

Large scale integrating of wind power generation into a grid may raise serious stability issues. In this case energy storage systems seem to be suitable for balancing power and energy between the inconstant wind parks generation and the grid. In this paper, the impact of high wind power penetration on the dynamic performance and stability of power systems is investigated. More precisely, the focus of this study is to assess the operation of pump storage systems in the autonomous power system of a large island such as Crete. Results of this study show that it is possible to achieve a large wind power penetration without significant dynamic security problems, if wind energy pump storage units are in operation.

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