Load Management Using Swarm Intelligence

2020 ◽  
pp. 1-27
Author(s):  
Oliver Dzobo ◽  
Yanxia Sun
Keyword(s):  
Power Generation ◽  
Power System ◽  
Demand Response ◽  
Thermal Power ◽  
Pso Algorithm ◽  
Response Strategy ◽  
Binary Integer Programming ◽  
Power Utility ◽  
Programming Technique ◽  
Response Optimization

This chapter presents a generalized day-ahead combined dynamic economic emission dispatch (DEED) problem incorporating demand response (DR) strategy for power system networks with mutual communication between electricity customers and power utility. A nonconvex mixed binary integer programming technique is used to solve the demand response optimization problem. Fixed and flexible home appliances connected as load to the power system network are considered in the demand response strategy. The optimization of the DEED problem is done using particle swarm optimization (PSO) technique. The proposed PSO algorithm takes into account thermal power generation unit ramp rates and their power generation constraints.

scholarly journals STATE AND PROSPECTS OF THERMAL POWER GENERATION IN THE CONDITIONS OF UKRAINE’S COURSE ON CARBON-FREE ENERGY

2021 ◽  
pp. 4-16
Author(s):  
M.V. Cherniavskyi
Keyword(s):  
Power Generation ◽  
Free Energy ◽  
Power System ◽  
Fuel Consumption ◽  
Power Plants ◽  
Thermal Power ◽  
Specific Fuel Consumption ◽  
Regulatory Function ◽  
Thermal Power Plants ◽  
Thermal Power Generation

The structure of electricity cost formation for consumers, including depending on the cost of TPP generation, «green» energy and other sources, is investigated, and the main conditions of the efficient regulatory function fulfillment in the power system by thermal power generation in the conditions of Ukraine's course on carbon-free energy are formulated. It is shown that excessive electricity losses in networks and, especially, accelerated increase of the share of «green» generation, much more expensive than nuclear, hydro and thermal, mainly contribute to the growth of electricity costs for non-household consumers and the need to raise tariffs for the population. This accelerated increase directly contradicts the Paris Climate Agreement, according to which plans to reduce Ukraine’s greenhouse gas emissions must be developed taking into account available energy resources and without harming its own economy. The dependences of the specific fuel consumption on the average load and the frequency of start-stops of units are found and it is shown that the increased specific fuel consumption on coal TPPs is an inevitable payment for their use as regulating capacities of UES of Ukraine. In this case, the higher the proportion of «green» generation and a smaller proportion of generating thermal power plants, especially increasing specific fuel consumption. It is proved that in the conditions of growth of the share of «green» generation in Ukraine the share of production of pulverized coal thermal power plants should be kept at the level of not less than 30 % of the total electricity generation. It is substantiated that a necessary condition for coal generation to perform a proper regulatory role in the power system is to introduce both environmental and technical measures, namely — reducing the suction of cold air to the furnace and other boiler elements, restoring condensers and cooling systems, etc. An important factor in reducing the average level of specific fuel consumption is also the reduction of coal burn-out at thermal power plants, where it still remains significant, due to the transfer of power units to the combustion of bituminous coal concentrate. Bibl. 12, Fig. 5, Tab. 5.

scholarly journals Optimal economic dispatch of power generation solution using lightning search algorithm

2020 ◽  
Vol 9 (3) ◽  
pp. 371
Author(s):  
Murad Yahya Nassar ◽  
Mohd Noor Abdullah ◽  
Asif Ahmed Rahimoon
Keyword(s):  
Power Generation ◽  
Power System ◽  
Optimization Problems ◽  
Search Algorithm ◽  
Thermal Power ◽  
Economic Dispatch ◽  
Optimal Solution ◽  
Fuel Price ◽  
Solution Quality ◽  
Generation Cost

Economic dispatch (ED) is the power demand allocating process for the committed units at minimum generation cost while satisfying system and operational constraints. Increasing cost of fuel price and electricity demand can increase the cost of thermal power generation. Therefore, robust and efficient optimization algorithm is required to determine the optimal solution for ED problem in power system operation and planning. In this paper the lightning search algorithm (LSA) is proposed to solve the ED problem. The system constraints such as power balance, generator limits, system transmission losses and valve-points effects (VPE) are considered in this paper. To verify the effectiveness of LSA in terms of convergence characteristic, robustness, simulation time and solution quality, the two case studies consists of 6 and 13 units have been tested. The simulation results show that the LSA can provide optimal cost than many methods reported in literature. Therefore, it has potential to solve many optimization problems in power dispatch and power system applications.

A Review on Hybrid Solar Power System Technology

2013 ◽  
Vol 281 ◽  
pp. 554-562 ◽  
Author(s):  
Ting Ting Li ◽  
Guo Qiang Xu ◽  
Yong Kai Quan
Keyword(s):  
Power Generation ◽  
Power Systems ◽  
Power System ◽  
Solar Power ◽  
Thermal Power ◽  
Combined Cycle ◽  
Energy Utilization ◽  
Cycle System ◽  
Grid Connection ◽  
Power Generation Technology

Solar energy utilization has met some complicated problems in recent years, like energy storage, solar thermal power generation dispatchability and grid connection etc. The concept of hybrid solar power systems proposed in early researches has extended the conditions of exploiting solar power generation technology，this paper reviews hybrid solar power system technologies in the past 40 years. According to different complementary energy resources, hybrid solar/renewable energy and solar/conventional energy systems have been discussed in this paper. Particularly, this article presents the thermal and economic performances of Integrated Solar Combined Cycle System (ISCCS).

Dynamic economic emission dispatch of thermal-wind-solar system with constriction factor-based particle swarm optimization algorithm

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Soudamini Behera ◽  
Sasmita Behera ◽  
Ajit Kumar Barisal ◽  
Pratikhya Sahu
Keyword(s):  
Power Generation ◽  
Particle Swarm Optimization ◽  
Dynamic Load ◽  
Thermal Power ◽  
Particle Swarm ◽  
Pso Algorithm ◽  
Swarm Optimization ◽  
Content Type ◽  
Emission Dispatch ◽  
Operation Cost

Purpose Dynamic economic and emission dispatch (DEED) aims to optimally set the active power generation with constraints in a power system, which should target minimum operation cost and at the same time minimize the pollution in terms of emission when the load dynamically changes hour to hour. The purpose of this study is to achieve optimal economic and emission dispatch of an electrical system with a renewable generation mix, consisting of 3-unit thermal, 2-unit wind and 2-unit solar generators for dynamic load variation in a day. An improved version of a simple, easy to understand and popular optimization algorithm particle swarm optimization (PSO) referred to as a constriction factor-based particle swarm optimization (CFBPSO) algorithm is deployed to get optimal solution as compared to PSO, modified PSO and red deer algorithm (RDA). Design/methodology/approach Different model with and without wind and solar power generating systems; with valve point effect is analyzed. The thermal generating system (TGs) are the major green house gaseous emission producers on earth. To take up this ecological issue in addition to economic operation cost, the wind and solar energy sources are integrated with the thermal system in a phased manner for electrical power generation and optimized for dynamic load variation. This DEED being a multi-objective optimization (MO) has contradictory objectives of fuel cost and emission. To get the finest combination of the two objectives and to get a non-dominated solution the fuzzy decision-making (FDM) method is used herein, the MO problem is solved by a single objective function, including min-max price penalty factor on emission in the total cost to treat as cost. Further, the weight factor accumulation (WFA) technique normalizes the pair of objectives into a single objective by giving each objective a weightage. The weightage is decided by the FDM approach in a systematic manner from a set of non-dominated solutions. Here, the CFBPSO algorithm is applied to lessen the total generation cost and emission of the thermal power meeting the load dynamically. Findings The efficacy of the contribution of stochastic wind and solar power generation with the TGs in the dropping of net fuel cost and emission in a day for dynamic load vis-à-vis the case with TGs is established. Research limitations/implications Cost and emission are conflicting objectives and can be handled carefully by weight factors and penalty factors to find out the best solution. Practical implications The proposed methodology and its strategy are very useful for thermal power plants incorporating diverse sources of generations. As the execution time is very less, practical implementation can be possible. Social implications As the cheaper generation schedule is obtained with respect to time, cost and emission are minimized, a huge revenue can be saved over the passage of time, and therefore it has a societal impact. Originality/value In this work, the WFA with the FDM method is used to facilitate CFBPSO to decipher this DEED multi-objective problem. The results reveal the competence of the projected proposal to satisfy the dynamic load demand and to diminish the combined cost in contrast to the PSO algorithm, modified PSO algorithm and a newly developed meta-heuristic algorithm RDA in a similar system.

Study on SOFC-IGCC Hybrid Power System With High Efficiency

2007 ◽  
Author(s):  
Liqiang Duan ◽  
Yongping Yang ◽  
Ershu Xu
Keyword(s):  
Power Generation ◽  
Power System ◽  
Hybrid System ◽  
System Performance ◽  
High Efficiency ◽  
Thermal Power ◽  
Combined Cycle ◽  
Total System ◽  
Hybrid Power System ◽  
Hybrid Power

Due to its high efficiency and good environmental performance, solid oxide fuel cell (SOFC) system is very attractive for future power generation, especially integrated with the conventional power generation system. However, how to effectively integrate SOFC with the conventional thermal power system and build the hybrid system with high efficiency is still a research focus. This paper studies a novel SOFC-IGCC (integrated gasification combined cycle) hybrid power system with high efficiency. On the base of the integration idea of total energy system, a novel SOFC-IGCC hybrid power system is proposed in this paper. The energy conversion mechanism of SOFC from chemical energy to electrical energy is analyzed. The maximum potential of improving the total system performance is also analyzed. The system characteristics of the hybrid system have been studied. The optimal rules of main parameters of hybrid system are revealed. The research results obtained in this paper show that integration with SOFC system will result in a significant performance improve of the total hybrid system. The integration degree of SOFC with IGCC greatly influences the system performance of the hybrid system. Compared with the base IGCC system (the system thermal efficiency is 46%), the efficiency of SOFC-IGCC hybrid system is greatly improved and increased to approximately 52%. The achievements acquired results from this paper will provide a feasible way to develop hybrid power system and valuable information for further study on IGCC system with high efficiency.

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