Application of bio-inspired social spider algorithm in multi-area economic emission dispatch of solar, wind and CHP-based power system

Adhvaryyu, Shreya; Adhvaryyu, Pradosh Kumar

doi:10.1007/s00500-019-04468-4

Cited by 8 publications

(4 citation statements)

References 26 publications

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“…By carrying out proper scheduling strategy, operating cost minimization can be obtained for generating units by considering power and heat demand, valve-point impact and various constraints of the system [33]. Mathematically, the optimization problem can be expressed as follows:…”

Section: Operating Cost Minimizationmentioning

confidence: 99%

“…By carrying out proper scheduling strategy, operating cost minimization can be obtained for generating units by considering power and heat demand, valve‐point impact and various constraints of the system [33]. Mathematically, the optimization problem can be expressed as follows:

\begin{equation*}min\;{F_{OC}},\end{equation*}

\begin{equation}{F_{OC}} = {\mathrm{\;}}\mathop \sum \limits_{x\; = {\mathrm{\;}}1}^{{N_{tg}}} {C_x}\left( {P_x^{tg}} \right) + {\mathrm{\;}}\mathop \sum \limits_{y\; = {\mathrm{\;}}1}^{{N_{cg}}} {C_y}\left( {P_y^{cg},H_y^{cg}} \right) + {\mathrm{\;}}\mathop \sum \limits_{z\; = {\mathrm{\;}}1}^{{N_{hg}}} {C_z}\left( {H_z^{hg}} \right)\end{equation}

where

\;{F_{OC}}

represents system's operating cost.…”

Section: Problem Formulationmentioning

confidence: 99%

“…These abovementioned references [26][27][28][29] used hybridized techniques for optimal dispatch of CHP generating units. Despite this, research is still being done using various efficient optimization techniques like Krill Herd [30], harmony-search algorithm [31], whale optimization [32], social spider algorithm [33], manta ray foraging [34] etc. to solve optimal dispatch problem of generating units.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimal dispatch of combined heat and power generating units with prohibited operating zones using improved heap‐based optimizer

Sahoo,

Sahu,

Hota

et al. 2023

IET Generation Trans & Dist

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In the present market scenario, energy cost has been increased and also restrictions have been faced in fossil fuels energy sources. This leads to evolvement of combined heat and power generating units having higher efficiency as compared to the existing systems. The optimal dispatch of CGUs involves a number of intricate constraints, making it a practical optimization problem. So, an improved heap‐based optimizer algorithm has been implemented in this work for solving optimal dispatch problem by accomplishing a proper balance between initial and final stages of global search and convergence, respectively. This problem provides optimal scheduling of heat and power generating units and seeks to minimize the overall fuel cost supply of combined units considering their operational limits. Here, three test systems, that is, 7‐units, 24‐units and 48 units system have been taken into consideration to verify the performance of proposed IHBO algorithm. The impact of prohibited zones on power dispatch has been analysed for both the system in an electricity market. In addition, the valve‐point loading effect, mutual dependency of produced heat and power of combined units and also transmission power losses in transmission lines have been studied. Comparisons among different methods have been made based on their respective solutions obtained and from that it manifests the robustness and superior performance of the proposed technique. Verification studies showed that impact of prohibited zones on generating units, increases the production cost with respect to without prohibited zones. However the proposed technique yields least production cost among other techniques.

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Section: Operating Cost Minimizationmentioning

confidence: 99%

\begin{equation*}min\;{F_{OC}},\end{equation*}

\begin{equation}{F_{OC}} = {\mathrm{\;}}\mathop \sum \limits_{x\; = {\mathrm{\;}}1}^{{N_{tg}}} {C_x}\left( {P_x^{tg}} \right) + {\mathrm{\;}}\mathop \sum \limits_{y\; = {\mathrm{\;}}1}^{{N_{cg}}} {C_y}\left( {P_y^{cg},H_y^{cg}} \right) + {\mathrm{\;}}\mathop \sum \limits_{z\; = {\mathrm{\;}}1}^{{N_{hg}}} {C_z}\left( {H_z^{hg}} \right)\end{equation}

where

\;{F_{OC}}

represents system's operating cost.…”

Section: Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimal dispatch of combined heat and power generating units with prohibited operating zones using improved heap‐based optimizer

Sahoo,

Sahu,

Hota

et al. 2023

IET Generation Trans & Dist

View full text Add to dashboard Cite

show abstract

“…In recent years, with the rapid development of intelligent optimization algorithms, more and more scholars are using it to solve ED problems (Niu et al, 2014;Dou and Qin, 2020). grey wolf optimization (GWO) (Singh and Dhillon, 2019), sailfish algorithm (SFA) (Li et al, 2021), fireworks algorithm (FWA) (Zare et al, 2021), whale optimization algorithm (WOA) (Medani et al, 2018), artificial bee colony algorithm (ABC) (Hassan et al, 2020), ant colony optimization (ACO) (Zhou et al, 2017), social spider algorithm (SSA) (Adhvaryyu and Adhvaryyu, 2020), marine predator algorithm (MPA) (Pan et al, 2021), ant lion optimizer (ALO) (Mouassa et al, 2017), bat algorithm (BA) (Rugema et al, 2021), and other optimization algorithms have been applied to the solution of ED problems. Ref.…”

Section: Introductionmentioning

confidence: 99%

Economic dispatch using modified bat algorithm

Yang

Yuan

et al. 2022

Front. Energy Res.

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Due to the frequent opening and shutting of turbine valves in the power system, valve point effect (VPE) that makes the economic dispatching (ED) problem non-linear, non-smooth and non-convex may be generated. Moreover, various constraints appear in the operation process, such as network transmission loss, and power balance during unit operation, which make it more difficult to find the global optimum through traditional mathematical methods. Nowadays, intelligent algorithms have successfully become a useful optimization tool to deal with nonlinear problems. In this paper, an improved bat algorithm (IBA), into which random black hole strategy and Gaussian mutation are introduced, is proposed to solve the ED problem. Furthermore, the random black hole strategy can enhance the diversity of the population and improve the convergence speed of IBA. Gaussian mutation is adopted to help jumping out of the local optimum. IBA is tested in 50 and 100 dimensions on 10 sets of well-known benchmark functions respectively, and compared with the methods in literature to verify its feasibility. Then, three different scales economic dispatching problems (3 units, 13 units, 40 units) are solved by this method, which further proves its effectiveness. The results show that IBA has obvious advantages and practical application value compared with other optimization methods.

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Solving the combined heat and power economic dispatch problem in multi-zone systems by applying the imperialist competitive Harris hawks optimization

Nazari

Abdi²

2022

Soft Comput

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Application of bio-inspired social spider algorithm in multi-area economic emission dispatch of solar, wind and CHP-based power system

Cited by 8 publications

References 26 publications

Optimal dispatch of combined heat and power generating units with prohibited operating zones using improved heap‐based optimizer

Optimal dispatch of combined heat and power generating units with prohibited operating zones using improved heap‐based optimizer

Economic dispatch using modified bat algorithm

Solving the combined heat and power economic dispatch problem in multi-zone systems by applying the imperialist competitive Harris hawks optimization

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