Multi-Objective Optimization of Integrated Power System Expansion Planning with Renewable Energy-Based Distributed Generation

Hasibi, Rahmat Adiprasetya Al; Hadi, Sasongko Pramono; Sarjiya, Sarjiya

doi:10.15866/iree.v14i1.16082

Cited by 4 publications

(4 citation statements)

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“…The complete set of variables, parameters and indices is described as follows. The formulation is expressed as Linear Programming (LP) optimization problem to address a minimum total operating cost associated with producing with thermal and wind energy (including wind curtailment dynamics) sources for a 24-hour period described by (1). Equation (2) indicates the total cost of energy production with thermal units during an interval of time T and (3) refers to the production costs associated with not taking full advantage of the source of wind generation available during this same interval of time:…”

Section: Multiperiod Optimal Power Flow Formulationmentioning

confidence: 99%

“…The current research is active working on different approaches and methods to solve the OPF with different formulations, algorithms and technological resources. For instance, the authors in [1] have proposed a multi-objective approach to solve an optimal approach for power system expansion planning considering distributed generation. In [2] an OPF is determined with an interline power flow controller to integrate FACTS (Flexible AC transmission system).…”

Section: Introductionmentioning

confidence: 99%

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Assessment of a Multiperiod Optimal Power Flow for Power System Operation

Moreno‐Chuquen

Cantillo-Luna

2020

IREE

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The optimal power flow is an important tool for power system planning and power system operation. It is used in a 24-hour period to find an economic dispatch of generating units considering network restrictions. The optimal power flow provides valuable information about the operation cost, the transmission flows, the generation and the congestion in the system. This information is used by generators, planners, operators and regulators in order to analyze and take decisions about the system at short and long term. The first one corresponds to the information for the operation. The second one corresponds to the information for the planning. This paper proposes a detailed optimal power flow formulation looking for a minimum cost of generation considering wind generation. Five solvers (CBC, CLP, CPLEX, Gurobi and GLPK.) have been used in order to compare differences between them. These solvers are commonly used to solve the multiperiod DC optimal power flow. An IEEE-24 test system is used to compare the solutions provided by the solvers. The findings reveal significant differences between the solvers when they are used to solve the IEEE-24 test system. Additionally, the computing time for each solver is reported. The solvers CPLEX and Gurobi show the lowest computational time to find a solution.

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Section: Multiperiod Optimal Power Flow Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Assessment of a Multiperiod Optimal Power Flow for Power System Operation

Moreno‐Chuquen

Cantillo-Luna

2020

IREE

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“…To achieve both these goals simultaneously, one approach is to develop an optimization model that is solved by a multi-objective method. In energy planning, the optimization model calculated by the multi-objective method has been shown to be effective in planning power generation capacity while taking into account the potential of renewable energy [16], [17]. In addition, a combination of multi-objective methods and the calculation of the sustainability index is applied in power generation capacity planning [18] and expansion of the electricity distribution network [19] taking into account the load in the form of electric vehicles.…”

Section: Introductionmentioning

confidence: 99%

An Integrated Renewable Energy System for the Supply of Electricity and Hydrogen Energy for Road Transportation Which Minimizes Greenhouse Gas Emissions

Hadi

Hasibi

2022

IJSEPM

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Greenhouse gas emissions produced by the energy sector, including the transportation sector, are a problem that must be resolved. One way to solve this problem is to provide energy in the transportation sector in a sustainable way, by using renewable energy. An integrated renewable energy system has been implemented through an optimization model for the supply of electricity and hydrogen energy for road transportation. The proposed model is in the form of mixed-integer linear programming with two objective functions: planning costs and greenhouse gas emissions. The multi-objective model was solved using the linear weighted-sum method. In this article, three scenarios are developed, namely the business-as-usual scenario, the renewable energy scenario, and the renewable energy with energy storage system scenario. The business-as-usual scenario is used to analyze the supply of electricity and hydrogen by prioritizing the objective function of planning costs. The renewable energy scenario prioritizes the objective function of greenhouse gas emissions in the optimization calculation, but without an energy storage system. The optimization calculation with the renewable energy with energy storage system scenario prioritizes the objective function of greenhouse gas emissions by including the energy storage system. The proposed model in a multi-objective form is implemented in a case study of road transportation in the Province of Yogyakarta, Indonesia. The results obtained indicate that the renewable energy with energy storage system scenario produces the lowest emission level of 56.55 Mt CO2 Equivalent, but with the highest planning cost of 192.13 x 109 Billion USD.

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“…A mixed energy supply for electrical power generation has been proposed with multi-objective sensitivity analyses [12]. Moreover, RES as distributed generation has been included in the integrated planning of electrical power systems as a single objective [13] and multi-objective [14] model. The reliability of RES in electrical power systems has been evaluated for wind technology integration [15].…”

Section: Introductionmentioning

confidence: 99%

Contributing to Low Emission Development through Regional Energy Planning in West Papua

Bawan¹,

Hasibi²

2022

Int. J. Adv. Sci. Eng. Inf. Technol.

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A model of regional energy planning has been developed based in West Papua province. Regional energy planning had two major scenarios: baseline and mitigation. Mitigation scenarios consisted of energy efficiency and fuel switch scenarios. All scenarios are implemented for industrial, commercial, household, transportation, and other sectors. A baseline scenario has been used to reflect energy demand without any intervention from the new energy policy in West Papua Province. The energy efficiency scenario describes the impact of more efficient vehicles and appliances on energy consumption. In the transportation sector, the energy efficiency scenario included a mode change scenario. The use of renewable energy has been included in the fuel switch scenario. In supply-side planning, renewable energy sources have been accommodated to meet a portion of electricity demand. The model of regional energy planning has been implemented by Long-range Energy Alternative Planning software. A cost-benefit analysis has been included in this study. The result indicated that the same goal of a regional development program could be achieved with less emission. By implementing the mitigation scenario, overall energy demand at the end of the projection period can be reduced by 16.63 PJ compared to the baseline. As an impact, the mitigation scenario's global warming potential is 15.89% less than a baseline scenario. It can be concluded that the emission intensity by the implementation of the mitigation scenario is 8.93 Thousand Ton CO2, Equivalent/Billion USD.

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Multi-Objective Optimization of Integrated Power System Expansion Planning with Renewable Energy-Based Distributed Generation

Cited by 4 publications

References 0 publications

Assessment of a Multiperiod Optimal Power Flow for Power System Operation

Assessment of a Multiperiod Optimal Power Flow for Power System Operation

An Integrated Renewable Energy System for the Supply of Electricity and Hydrogen Energy for Road Transportation Which Minimizes Greenhouse Gas Emissions

Contributing to Low Emission Development through Regional Energy Planning in West Papua

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