Multiobjective Electrical Power Dispatch of Thermal Units with Convex and Non-Convex Fuel Cost Functions for 24 Hours Load Demands

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

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Determine the Optimum Efficiency of Transformer Cores Using Comparative Study Method

Engineering Proceedings ◽

10.3390/engproc2021012035 ◽

2021 ◽

Vol 12 (1) ◽

pp. 35

Author(s):

Nabeel Zahoor ◽

Abid Ali Dogar ◽

Akhtar Hussain

Keyword(s):

Power Systems ◽

Short Circuit ◽

Electrical Power ◽

Operating Cost ◽

Open Circuit ◽

Core Material ◽

Local Market ◽

Electrical Power Systems ◽

Research Perspective ◽

Core Losses

The transformer is one of the most discussed and important components of electrical power systems because of its reliability, durability and energy conversion capability. It is also useful in load sharing, which reduces system burden, but is also responsible for a sufficient number of losses, as it is used in different types of electric appliances that require voltage conversion. The no-load losses of transformers have gained much attention from research perspective because of its operating cost throughout its lifetime. Many studies were carried out to achieve the highest possible efficiency, decreasing certain losses by using different methods and materials. However, the local market in Pakistan is far behind in the field of efficient core material manufacturing of transformers, which is why consumers are unable to obtain efficient electric appliances. Due to these loss-making appliances, the overall residential load increases and the consumers are charged with heavy electricity bills. This proposed study discusses core losses, different core comparisons, T/F efficiency and advancement in the core material. To accomplish a core comparison, two locally available core materials are used to fabricate two different T/F, and some tests such as open-circuit and short-circuit tests are performed to discover their losses, thermal degradation, and output efficiencies.

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Multiverse optimisation based technique for solving economic dispatch in power system

Indonesian Journal of Electrical Engineering and Computer Science ◽

10.11591/ijeecs.v20.i1.pp485-491 ◽

2020 ◽

Vol 20 (1) ◽

pp. 485

Author(s):

Muhammad Haziq Suhaimi ◽

Ismail Musirin ◽

Muzaiyanah Hidayab ◽

Shahrizal Jelani ◽

Mohd Helmi Mansor

Keyword(s):

Power System ◽

Economic Dispatch ◽

Operating Cost ◽

Minimum Cost ◽

Test System ◽

Similar Process ◽

Load Demand ◽

The Many ◽

And Control ◽

Exact Amount

Economic dispatch (ED) is one of the many important components in a power system operation. It is designed to calculate the exact amount of power generation needed to ensure a minimum cost of generation. A power system with multiple generators should be running under an economic condition. The operating cost has to be minimised for any feasible load demand. The increase of power demand is getting higher throughout the year. Economic dispatch is used to schedule and control all output of the fossil-fuel or coal-generators to satisfy the system load demand at a minimum cost. This paper presents the Multiverse Optimisation (MVO) for solving the economic dispatch in a power system. The proposed Multiverse optimisation engine developed in this study is implemented on the IEEE 30-Bus Reliability Test System (RTS). It has five generators, all of which are denoted as the control variables for the optimisation process. To reveal the superiority of MVO, a similar process was conducted using Evolutionary Programming (EP). Results from both techniques were compared, and it was revealed that MVO had outperformed EP in terms of reduced cost of generation for the system.

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Positive Correlations between Short-Term and Average Long-Term Fluctuations in Wind Power Output

Energies ◽

10.3390/en14071861 ◽

2021 ◽

Vol 14 (7) ◽

pp. 1861

Author(s):

Chiyori T. Urabe ◽

Tetsuo Saitou ◽

Kazuto Kataoka ◽

Takashi Ikegami ◽

Kazuhiko Ogimoto

Keyword(s):

Power Systems ◽

Wind Power ◽

Power Output ◽

Renewable Energy Sources ◽

Electrical Power ◽

Weather Conditions ◽

Electricity Sector ◽

Linear Functions ◽

Short Term

Wind power has been increasingly deployed in the last decade to decarbonize the electricity sector. Wind power output changes intermittently depending on weather conditions. In electrical power systems with high shares of variable renewable energy sources, such as wind power, system operators aim to respond flexibly to fluctuations in output. Here, we investigated very short-term fluctuations, short-term fluctuations (STFs), and long-term fluctuations (LTFs) in wind power output by analyzing historical output data for two northern and one southern balancing areas in Japan. We found a relationship between STFs and the average LTFs. The percentiles of the STFs in each month are approximated by linear functions of the monthly average LTFs. Furthermore, the absolute value of the slope of this function decreases with wind power capacity in the balancing area. The LTFs reflect the trend in wind power output. The results indicate that the flexibility required for power systems can be estimated based on wind power predictions. This finding could facilitate the design of the balancing market in Japan.

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