Transmission Constrained Production Cost Analysis in Power System Planning

Desell, A. L.; McClelland, E. C.; Tammar, K.; Horne, P. R. Van

doi:10.1109/mper.1984.5525972

Cited by 5 publications

(4 citation statements)

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“…An application of linear programming to transmission constrained production cost analysis was proposed in [17]. Multi-area economic dispatch with area control error is solved in [18]. Reference [19] proposed heuristic multi-area unit commitment with economic dispatch.…”

Section: Literature Review Of Non-convex Multi Area Eldmentioning

confidence: 99%

An Efficient New Hybrid ICA-PSO Approach for Solving Large Scale Non-convex Multi Area Economic Dispatch Problems

Chen

Marrani

2020

J. Electr. Eng. Technol.

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Multi-area economic dispatch (MAED) is one of the vital problems in economic operation of interconnected power systems. This paper proposes a novel hybrid approach based on combined imperialist competitive algorithm (ICA) and particle swarm optimization (PSO) methods in order to determine the feasible optimal solution of the non-convex economic dispatch (ED) problem considering valve loading effects. In the proposed algorithm we have defined new type of countries in ICA algorithm, namely independent countries. These types of countries improve their position using a PSO based search strategy. The proposed method benefits from the advantage of the both algorithms. The proposed hybrid approach based on ICA-PSO is applied on different test systems and compared with most of the recent methodologies. Also, a large scale multi-area economic dispatch (MAED) problem is solved using the proposed hybrid approach to minimize total fuel cost in all areas while satisfying power balance constraints, generating limits and tie-line capacity constraints. The results show the effectiveness of the proposed approach and prove that ICA-PSO is applicable for solving the power system economic load dispatch problem, especially in large scale power systems.

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Section: Literature Review Of Non-convex Multi Area Eldmentioning

confidence: 99%

An Efficient New Hybrid ICA-PSO Approach for Solving Large Scale Non-convex Multi Area Economic Dispatch Problems

Chen

Marrani

2020

J. Electr. Eng. Technol.

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“…Some early efforts to attempt MAED problem can be briefly stated as: Shoults et al [3] considered import and export constraints between areas, Romano et al [4] presented Dantzig-Wolfe decomposition principle, Desell et al [5] applied linear programming, Wang and Shahidehpour [6] proposed a decomposition approach using expert systems, etc. In recent years the modern artificial intelligence based techniques have shown potential to solve such complex combinatorial constrained optimization problems due to their ability to obtain global or near global optima.…”

Section: Introductionmentioning

confidence: 99%

Multi-area economic dispatch with reserve sharing using dynamically controlled particle swarm optimization

Jadoun

Gupta

Niazi

et al. 2015

International Journal of Electrical Power & Energy Systems

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“…A complete formulation of multi-area generation scheduling with import/export constraints was presented in a reference (Shoults et al, 1980). Desell et al (1984) proposed an application of linear programming to transmission constrained production cost analysis. Farmer et al (1990) presented a probabilistic method which was applied to the production costing of transmission constrained multi-area power systems.…”

Section: Introductionmentioning

confidence: 99%

“…Doty and McIntyre et al (1982) solved multi-area economic dispatch problem by using spatial dynamic programming and optimal results were reported considering transmission constraint with linear losses. Linear programming application is proposed in Desell et al (1984) to production cost analysis with transmission constraint. Area control error is solved in multi-area economic dispatch (Hemick et al, 1985).…”

Section: Introductionmentioning

confidence: 99%

Multi-area economic dispatch with tie-line constraints employing evolutionary approach

Sharma¹,

Pandit²,

Srivastava³

2010

Int. J. Eng. Sci. Tech

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Economic dispatch (ED) has the objective of generation allocation to the power generators in such a manner that the total fuel cost is minimized while all operating constraints are satisfied. For the sake of simplicity, ED is generally solved without accounting for transmission constraints. However, in deregulated power system environment it is essential to model the ED problem for practical multi-area cases with tie line constraints. Most of the conventional gradient based methods are time consuming, suffer from dimensionality problem and assume the fuel cost curves of generating units to be piecewise linear, monotonically increasing in nature. The resulting dispatch solutions are therefore inaccurate; sometimes producing infeasible solutions for modern generating units having non convex cost curves. On the other hand evolutionary methods do not suffer from convexity assumptions and achieve fast solutions even for complex non-linear, non-convex, multi-modal optimization problems. This paper reviews and compares some evolutionary techniques for multi-area economic dispatch (MAED). The paper presents an extensive comparison of the search capability and convergence behavior of i) Classical differential evolution (DE) and its various strategies ii) Classical particle swarm optimization (PSO) and iii) An improved PSO with a parameter automation strategy having time varying acceleration coefficients (PSO_TVAC) for solving MAED problems for two area and three area test power systems with 4, 10 and 40-generating units. The results are found to be superior compared to some recently published results.

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Transmission Constrained Production Cost Analysis in Power System Planning

Cited by 5 publications

References 0 publications

An Efficient New Hybrid ICA-PSO Approach for Solving Large Scale Non-convex Multi Area Economic Dispatch Problems

An Efficient New Hybrid ICA-PSO Approach for Solving Large Scale Non-convex Multi Area Economic Dispatch Problems

Multi-area economic dispatch with reserve sharing using dynamically controlled particle swarm optimization

Multi-area economic dispatch with tie-line constraints employing evolutionary approach

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