The economic emission load dispatch (EELD) problem is a multiple non-commensurable objective problem that minimizes both cost and emission together. In the paper a stochastic EELD problem is formulated with consideration of the uncertainties in the system production cost and nature of the load demand, which is random. In addition, risk is considered as another conflicting objective to be minimized because of the random load and uncertain system production cost. The weighted minimax technique is used to simulate the trade-off relation between the conflicting objectives in the non-inferior domain. Once the trade-off has been obtained, fuzzy set theory helps the power system operator to choose the optimal operating point over the trade-off curve and adjust the generation levels in the most economic manner associated with minimum emission and risk. The validity of the method is demonstrated by analysing a sample system comprising six generators.
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"However, the approach provided only weakly non-dominated solution and that too in considerably large time. The economic emission dispatch is solved by weighted min–max approach along with risk in expected power deviations as third objective . The EED problem with line flow security constraint is solved by weighted sum method in  to convert the multiobjective EED problem in single objective optimization problem. "
"In the concern of environmental awareness, pollution should be minimized which is achieved by combining cost and emission dispatch in a single objective function. Emission constrained economic dispatch is discussed in . "
[Show abstract][Hide abstract] ABSTRACT: The optimization is an important role in wide geographical distribution of electrical power market, finding the optimum solution for the operation and design of power systems has become a necessity with the increasing cost of raw materials, depleting energy resources and the ever growing demand for electrical energy. In this paper, the real coded biogeography based optimization is proposed to minimize the operating cost with optimal setting of equality and inequality constraints of thermal power system. The proposed technique aims to improve the real coded searing ability, unravel the prematurity of solution and enhance the population assortment of the biogeography based optimization algorithm by using adaptive Gaussian mutation. This algorithm is demonstrated on the standard IEEE-30 bus system and the comparative results are made with existing population based methods.
Journal of Electrical Engineering and Technology 01/2015; 10(1):56-63. DOI:10.5370/JEET.2015.10.1.056 · 0.53 Impact Factor
"The security constraint is applied by considering the expected Energy not served (EENS) and its costs due to random line and generator outages as well as load-side shedding   . For instance  and  by using EENS as the index of customers' reliability and by considering and by considering spinning reserve allocation, presented an approach for clearing power market. "
[Show abstract][Hide abstract] ABSTRACT: Co-allocation of energy and reserve is an efficient approach in market clearance. Many
different factors contribute to this problem while accounting for system security and credible contingencies
may increase the allocated spinning reserve and the total costs, load flexibility as a result of Demand Side
Programs may contribute with a positive effect on the total amount and cost of spinning reserve as well as
the dispatched energy. This paper presents the integration of Time of Use Program in the securityconstrained
energy and reserve Co-allocation market and the effect that TOUP has on the total costs and
amount of reserve services are studied in an actual unit commitment market clearing problem. Differential
Evolution Algorithm is utilized for an efficient 24-hour unit commitment approach which accounts for both
system security and load elasticity. The effectiveness of proposed method is evaluated by application of the
algorithm on IEEE 24 bus reliability test system. The results of the algorithm are compared in various
cases with other approaches for the unit commitment problem and it is shown that considering TOU
program has a noticeable positive effect on the obtained optimum solution.