International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958, Volume-9 Issue-3, February, 2020 1534 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: B4508129219/2020©BEIESP DOI: 10.35940/ijeat.B4508.029320 Abstract: There are a host of difficult issues with scheduling, operation, and control of integrated power systems. The electricity sector is changing rapidly, and one of the most important concerns is deciding operational strategies to meet electricity demand. It is a greater challenge to satisfy customer demand for power at a minimum cost. The operating characteristics of all generators may be different. In general, operating cost is not proportionate to the performance of these generators. Therefore challenge for power utilities to balance the total load between generators. For a specific load condition on energy systems, Economic Dispatch(ED) seeks to reduce the fuel costs of power generation units. Moreover, energy utilities have also an important task to reduce gaseous emission. So the ED problem can be recognized as a complicated multi-objective optimization problem (MOOP) with two competing targets, the minimal cost of fuel and the minimum emissions effects. This paper presented an efficient method, hybrid of particle swarm optimization (PSO) and a learning-based optimization (TLBO) for combined environmental issues because of gaseous emission and economic dispatch (CEED) problems. The results were shown and verified by PSO and TLBO for standard 3 and 6-generator frameworks with combined issues of emission and economic dispatch taking into account line losses and prohibited zones (POZs) on hourly demand for 24 hours. Keyword: economic, emission, CEED, PSO, TLBO, PSO_TLBO I. INTRODUCTION Electrical power systems are among the most complicated industrial systems of today's civilization that play a key position in the functioning of contemporary societies. To play this role, electrical power production and distribution must be achieved in an environmentally friendly, cost-effective and reliable manner. The continuing challenge of electrical engineers around the world is to produce, transmit and distribute electricity efficiently. One of the primary goals of the operations and planning project is the lowest possible cost for power demand. The security of individuals and equipment is a more crucial goal. In addition, as a result of the increased number of power plants, minimizing the environmental impact of power generation becomes extremely important. The major share of the global electric energy is produced by thermal plants that consume fossil fuels. Heat energy is released from such plants and converted to electricity generation as a mechanical form of energy. Revised Manuscript Received on February 15, 2020. Rajanish Kumar Kaushal, Pursuing Ph.D. in Electrical Engineering Department of the Punjab Engineering College, Chandigarh, India Dr. Tilak Thakur, Professor, Electrical Engineering Department of the Punjab Engineering College, Chandigarh, India This transformation is carried out via thermal cycles with conversion efficiencies of less than forty percent. It increases the consumption of fuel and decreases the resources that exist. In contrast, the steadily growing worldwide demand for electricity accelerates the depletion of fuel supplies. Electricity from conventional sources such as oil, natural gas, and coal are the major source of gaseous emissions and contaminants. The question of emission impacts and air pollution in connection with electricity generation has become critical for today's operational procedure in the power system. A large proportion of the total air pollutants and gaseous emissions in the environment are produced from fossil fuel consumption in power generating plants. The negative effects of the various contaminants, including CO carbon mono oxide, CO2 carbon dioxide, SO sulphur oxide, SO2 sulphur dioxide NOx nitrogen oxides, Mercury, Cadmium and Lead are of great concern to the public, and cannot be excluded from organizational and preparation approaches. Strict environmental regulations and strong limits on the power generation industry have been implemented globally to minimize this impact on human lives and the atmosphere. Practically, power losses are estimated to be between 5 percent and 10 percent of the total generation of electricity, Conejo et al. [1] and Wang et al. [2]. The economic dispatch (ED) problem is approached using conventionally designed techniques with a linear differentiable quadratic objective function. The true input-output characteristics include higher nonlinearity and irregularity due to the valve point (VP) effects, which results in non-convex non-linear fuel cost-effectiveness. To show the VP effects a sinusoidal term is added in the conventional fuel cost function, Attavir et al. [3] and Wong et al. [4]. The functions of fuel cost generators are continuously nonlinear and are discontinuous because of prohibited operating zones (POZs). The effect prohibited operating zones is formulated as inequality constraints which are described in Lee et al. [5] and Gaing et al. [6]. Currently the growing concern about the environmental problem due to air pollution Therefore, this research modifies the classical ED problem as CEED to solve the two problems. Two objectives are considered with respect to the CEED problem, namely minimizing fuel costs with a valve loading effect and minimizing emission. With minimization of fuel cost and emission, three constraints are also considered during the analysis, namely power balance, capacities limit, and POZs. For dynamic economic emission dispatch , the ramp-rate limit constraint is taken into account together with the above three CEED problem constraints. Multiobjective Electrical Power Dispatch of Thermal Units with Convex and Non-Convex Fuel Cost Functions for 24 Hours Load Demands Rajanish Kumar Kaushal, Tilak Thakur