Economic Load Dispatch in Power System by Hybrid Swarm Intelligence
Shashi Kant Giri1, Anand Mohan2, Arun Kumar Sharma3

Shashi Kant Giri, Department of Electrical Engineering ,M.Tech Research Scholar, Alakh Prakash Goyal Shimla University, Mehli Shoghi Bypass Road, Shimla, Himachal Pradesh (India).
Anand Mohan, Department of Electrical Engineering, Professor, Alakh Prakash Goyal Shimla University, Mehli Shoghi Bypass Road, Shimla, Himachal Pradesh (India).
Arun Kumar Sharma, Department of Electrical Engineering, Assistant Professor, Alakh Prakash Goyal Shimla University, Mehli Shoghi Bypass Road, Shimla, Himachal Pradesh (India).

Manuscript received on 5 August 2019. | Revised Manuscript received on 10 August 2019. | Manuscript published on 30 September 2019. | PP: 1584-1592 | Volume-8 Issue-3 September 2019 | Retrieval Number: C4411098319/2019©BEIESP | DOI: 10.35940/ijrte.C4411.098319
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Abstract: Conserving energy and efficient power systems are very important for us to reduce pollution levels and also reduces wasted fuel resources which are already depleting on the planet. In power operation system, the potential of energy conservation and also much less emission of greenhouse gas because of the wise usage of cleaner non-renewable fuels burned in combined heat and power (CHP) models like the natural gas which provide them benefit from the usual electric power systems. Mixed generator systems have been widely employed by the industry. The industry which requires both power and heat can supply the demands with cogeneration of heat-power systems. Co-generation (CHP) systems could be constructed in cities and used in the form of distributed electricity sources. To get the optimal usage of CHP devices, economic load dispatch (ED) should be requested more for the process of energy conservation. Economic load dispatch plays a vital role and a large number of different approaches and methods have been used in solving such kind of problems. The methods like lambda-iteration and Gradient are used for finding out the optimized solution of non-linear problem. The purpose of this thesis is to utilize the algorithmic optimization approaches like particle swarm optimization (PSO), genetic algorithm (GA) and PSO-GA. In this work, the method of PSO-GA Optimization is used to find out the minimized cost at four of the generating units of heat and power. The base of the work is already published where in the loss coefficients are also presented with max-min cost function and power limit. This work is implemented in the MATLAB simulation environment. The work starts by initializing the load/power and then generators load power flow. The generators are allocated to initialize the cost and this cost is optimized by PSO with GA. At the end the experimental results of GA ,PSO and PSO-GA algorithm is equated with each other and it seems better convergence is achieved by PSO-GA Algorithm.
Keywords- Particle Swarm Optimization, Economic Load Dispatch, Combined heat and power units, particle swarm optimization with genetic algorithm.

Scope of the Article:
Construction Economics