Risk-averse multi-objective optimal combined heat and power planning considering voltage security constraints

Yadegari, Saeed; Abdi, Hamdi; Nikkhah, Saman

doi:10.1016/j.energy.2020.118754

Cited by 15 publications

(9 citation statements)

References 27 publications

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“…In [15], PSO was used to simulate the functioning of a coal-fired CSED that was coupled to heat and power generating units. In [16], the security of the electricity network was examined in a multi-objective formulation used for CSED management, which takes into account the cost of pollutant emissions. The CSED problem while retaining the dependability of micro-grids and operational restrictions was provided in [17].…”

Section: B Literature Reviewmentioning

confidence: 99%

A Novel Heap-Based Optimizer for Scheduling of Large-Scale Combined Heat and Power Economic Dispatch

et al. 2021

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Cogeneration systems economic dispatch (CSED) provides an optimal scheduling of heat /power generating units. The CSED aims to minimize the whole fuel cost (WFC) of the cogeneration units taking into consideration their technical and operational limits. Then, the current paper examines the first implementation of dominant bio-inspired metaheuristic called heap-based optimization algorithm (HBOA). The HBOA is powered by an adaptive penalty functions for getting the optimal operating points. The HBOA is inspired from the organization hierarchy, where the mechanism consists of the interaction among the subordinates and their immediate boss, the interaction among the colleagues, and the employee's selfcontribution. Based on the infeasible solutions' remoteness from the nearest feasible point, HBOA penalizes them with various degrees. Four case studies of the CSED are implemented and analyzed, which comprise of 4, 24, 84 and 96 generating units. The HBOA is proposed to solve CSED problem with consideration of transmission losses and the valve point impacts. An investigation with the recent optimization algorithms, which are supply demand optimization (SDO), jellyfish search optimization algorithm (JFSOA), and marine predators' optimization algorithm (MPOA), the improved MPOA (IMPOA) and manta ray foraging (MRF), is developed and elaborated. From the obtained results, it is clearly observed that the optimal solutions gained, in terms of WFC, reveal the feasibility, capability, and efficiency of HBOA compared with other optimizers especially for large-scale systems. case INDEX TERMSCogeneration systems economic dispatch, fuel cost minimization, heap based optimization algorithm, distribution reconfiguration, valve point impacts, transmission losses. Nomenclature: ai, bi, & ci The i th power plant cost coefficients aj; bj, & cj The j th heat plant cost coefficients ak, bk, ck, dk, ek & fk The k th unit cost coefficients C Total production costs ( ) Fuel cost of power unit i ( ℎ ) Fuel cost of j th heat plant ( , ) Operational cost of k th cogeneration unit Hd Heat demand in the system Np , Nh and Nc Number of power-only plants, heatonly plants and cogeneration units P Output of power generation units Pd Electric power demand PLoss Transmission losses & Valve-point cost coefficients H Output of heat generation units

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Section: B Literature Reviewmentioning

confidence: 99%

A Novel Heap-Based Optimizer for Scheduling of Large-Scale Combined Heat and Power Economic Dispatch

et al. 2021

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“…These objective functions can be singly (individually) or simultaneously optimised to create a single or multi-objective problem. From the viewpoint of solution methods for solving the formulated objective function in EDSEP, analytical approaches [ 15 , 16 ], mathematical programming methods [ 17 , 18 ], heuristic, and meta-heuristic [ 4 , [19] , [20] , [21] , [22] ] have been adopted. The analytical approach requires short computation time and is easy to apply but requires a lot of assumptions.…”

Section: Introductionmentioning

confidence: 99%

“…In Ref. [ 18 ], optimal CHP planning was conducted using a risk-averse approach with the view to maximise the CHP owner's profits and minimise the system operation costs while considering the load and energy price increase and network voltage stability issue.…”

Section: Introductionmentioning

confidence: 99%

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Techno-economic and environmental assessments of optimal planning of waste-to-energy based CHP-DG considering load growth on a power distribution network

Akanni Alao,

Mohammed Popoola

2024

Heliyon

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“…В работе S. Yadegari и др. [12] [17] и технологией утилизации теплоты дымовых газов после котлоагрегатов. Внедрение таких установок увеличивает возможные объемы комбинированного производства тепла и электроэнергии [18,19], повышает эффективность использования органического топлива и сокращает тепловые потери с уходящими газами [20], а также выбросы оксидов азота в атмосферу за счет их растворения в конденсирующихся водяных парах [21,22].…”

Section: Introductionunclassified

Evaluation of the Performance Indicators of a Cogeneration STU as Affected by Changing the Internal Relative Efficiency of the Backpressure Steam Turbine Compartments

Stepanova¹,

Киреев²

2021

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The authors carried out the circuit-parametric optimization studies of a promising cogeneration STU, which includes a backpressure steam turbine and a gas-fired steam boiler capable of heat recovery from flue gases. A mathematical model was employed to analyze how the internal relative efficiency of the steam turbine compartments in such an STU could affect the core operating parameters and the design characteristics of the heat exchange equipment of the unit. Mathematical modeling and circuit-parametric optimizations were run in the Machine Programming System, a software package developed by the Department of Heat and Power Systems, Melentiev Energy Systems Institute, Siberian Branch of the Russian Academy of Sciences. The optimization criterion was the price of STU-supplied electricity at the given prices of supplied heat and fuel with the adjustment for the internal rate of return on investment. Circuit-parametric optimizations show that the price of electric energy from a cogeneration STU linearly depends on the internal relative efficiency of the turbine compartments, and when it changes from 0.82 to 0.9, the price of electric energy decreases by 0.03 cents/kW. The cost effect of the increase in efficiency can be up to 98.79 thous. USD/year given the quantitative supply of electricity from the STU. The methodological approach used in this work enables feasibility testing of the attempts to improve the internal relative efficiency of the steam turbine compartments and can be useful both in the design and operation of thermal power plants. The estimated effects of internal relative efficiency of the turbine compartments on the core operating parameters and the characteristics of the unit will help determine the reliability and efficiency of its operation.

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Risk-averse multi-objective optimal combined heat and power planning considering voltage security constraints

Cited by 15 publications

References 27 publications

A Novel Heap-Based Optimizer for Scheduling of Large-Scale Combined Heat and Power Economic Dispatch

A Novel Heap-Based Optimizer for Scheduling of Large-Scale Combined Heat and Power Economic Dispatch

Techno-economic and environmental assessments of optimal planning of waste-to-energy based CHP-DG considering load growth on a power distribution network

Evaluation of the Performance Indicators of a Cogeneration STU as Affected by Changing the Internal Relative Efficiency of the Backpressure Steam Turbine Compartments

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