Power generation operation and control — 2nd edition

Wood, Allen J.; Wollenberg, B.F.

doi:10.1016/0140-6701(96)88715-7

Cited by 2,538 publications

(3,639 citation statements)

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“…The fuel cost of the diesel engine generator can be expressed as a quadratic polynomial function of its real power output, as shown in equation (3) [12]:…”

Section: ) Fuel Costs Of Non-renewable Energy Dg A) Diesel Engine Gementioning

confidence: 99%

Optimal Schedule of Distributed Generation in a Grid-Tied Micro-grid via Minimum Incremental Cost Approach

Huang¹

2016

IJCTE

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Abstract-This paper proposed a simple and efficient approach, minimum incremental cost approach (MICA), for the optimal schedule in a grid-tied micro-grid (MG) with various types of distributed generation (DG). The fuel costs generated by these DGs are determined using quadratic and linear functions dependent on the types of DGs. The proposed approach, MICA, is able to handle several inequality constraints without introducing any multipliers and furthermore it can solve the non-derivative problems or the fuel cost functions being much more complicated. Accordingly, the MICA is proposed for determining the optimal schedule of MGs with various types of DG to minimize generation costs under grid-tied operation. Results demonstrate that the proposed MICA is a simple approach to determining the optimal schedule in MGs with various types of DG.

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“…The fuel cost of the diesel engine generator can be expressed as a quadratic polynomial function of its real power output, as shown in equation (3) [12]:…”

Section: ) Fuel Costs Of Non-renewable Energy Dg A) Diesel Engine Gementioning

confidence: 99%

Optimal Schedule of Distributed Generation in a Grid-Tied Micro-grid via Minimum Incremental Cost Approach

Huang¹

2016

IJCTE

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“…The first approach is based on analyzing their shares in increased load on system. Using participation factors [4], it is easy to obtain new optimal generations for increased demand on the system. The second approach is based on voltage stability consideration.…”

Section: Introductionmentioning

confidence: 99%

Optimal ReScheduled Generation using Participation Factors

Prasad¹,

Sekhar²,

Shanmugam³

2011

IJCA

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The objective of power systems operation and planning in the interconnected power system is to maximize the social welfare through minimizing total generation costs. This paper presents a novel approach for optimal generation considering stability limits. The paper examines two approaches for optimal generation. The first approach is based on analyzing their shares in increased load on system. The second approach is based on voltage stability consideration. An IEEE-6 bus test system is used to demonstrate the results. One of the modern power system analyzer MiPower software is used to model and solve the optimization problems involved and the MATLAB software is used to perform graphical representations through an interface between both programs.

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“…In essence, it is an optimization problem and its main objective is to reduce the total generation cost of units, while satisfying constraints. [1] Previous efforts on solving ED problems have employed various mathematical programming methods and optimization techniques excluding losses.…”

Section: Introductionmentioning

confidence: 99%

Solving Economic Load Dispatch Problem Considering Transmission Losses by a Hybrid EP-EPSO Algorithm for Solving both Smooth and Non-Smooth Cost FunctionSolving Economic Load Dispatch Problem Considering Transmission Losses by a Hybrid EP-EPSO Algorithm for Solving both Smooth and Non-Smooth Cost Function

Pandian¹,

Thanushkodi²

2010

IJCEE

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Abstract-An Evolutionary Programming (EP) and Efficient Particle Swarm Optimization (EPSO) techniques are employed to solve Economic Dispatch (ED) problems including transmission losses in power system is presented in this paper. This paper is clearly justified with the results separately obtained for the above two techniques and also provided with the results by applying both the algorithms separately. With practical consideration, ED will have non-smooth cost functions with equality and inequality constraints that make the problem, a large-scale highly constrained nonlinear optimization problem. The proposed method expands the original PSO to handle a different approach for satisfying those constraints. In this paper, an Efficient Particle Swarm Optimization (EPSO) technique is employed so that optimized results are obtained, and by applying EP, faster convergence is obtained . To demonstrate the effectiveness of the proposed method it is being applied to test ED problems, one with smooth and other with non smooth cost functions considering valve-point loading effects. Comparison with other optimization and hybrid algorithm techniques showed the superiority of the proposed EP-EPSO approach and confirmed its potential for solving nonlinear economic load dispatch problems with losses.

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Power generation operation and control — 2nd edition

Cited by 2,538 publications

References 0 publications

Optimal Schedule of Distributed Generation in a Grid-Tied Micro-grid via Minimum Incremental Cost Approach

Optimal Schedule of Distributed Generation in a Grid-Tied Micro-grid via Minimum Incremental Cost Approach

Optimal ReScheduled Generation using Participation Factors

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