Multiobjective optimal generation dispatch based on probability security criteria

Abstract

This paper proposes a novel and efficient algorithm to obtain the optimal power flow in power system operation and planning phases by solving a multiobjective optimization problem. In deciding the optimal system operation, various objectives, such as economy, reliability and minimum influence on environments, should simultaneously be attained. However, these objectives are contradictory to each other and are in trade-off relations, thus making it difficult to handle this class of problem by conventional approaches which optimizes a single performance index.the optimal load flow problem is first formulated as a multi-objective optimization problem. €-constrained technique is used to obtain a set of non-inferiority solutions. Then, we introduce the idea of a preference index to decide the optimum solution. In this particular study, security index is chosen as the preference index.The proposed algorithm has made it possible to treat the optimal dispatch problems with multiple performance indices and to grasp trade-off relations between selected indices. The effect of uncertain factors pertaining to power systems can also be taken into account.The validity and effectiveness of the proposed approach is verified through numerical examples on the IEEE 30 node, 6 generator system.In the proposed algorithm,

A Probabilistic Production Costing Analysis of SO2 Emissions Reduction Strategies for Ohio: Emissions, Cost, and Employment Tradeoffs

“…Previous models for analysis of ED were designed for broadbrush regional or national assessments, as just discussed, or real-time commitment of power plants. 15 The computational complexity of unit commitment models, and their inability to estimate average production costs and emissions over a long time period render them inappropriate for planning. MODES yields more accurate estimates of production costs and emissions than other policy models while achieving the quick execution times and long-term perspective required for policy analysis.…”

Two-phase multi-objective evolutionary approaches for optimal generation scheduling with environmental considerations

“…However, other emissions could be included as well. The form of the NO x emission function model depends on the parameter estimating techniques used to approximate the amount of NO x emission [7,8,9]. In this paper, the total NO x emission produced by all units in T hours is expressed by a combination of polynomial and sinusoidal terms of the following form [7]:…”

A general parametric optimal power flow

“…Yokoyama [Yokoyama et al, 1988] used the 8-constrained technique to obtain the set of non-inferior solutions of a OPF problem, whose objective fonctions were the generation cost, the environmental impact and a penalty for \ine overload. After the set of noninferior solutions was found, the optimal solution of the problem was selected using a preference index which reflected the static system security.…”