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To realize an efficient energy supply system for an isolated microgrid, a joint design framework that considered the capacity sizing alongside operational planning is essential. In this work, an integrated planning model was developed to investigate the techno-economic performances of a high renewable energy-based standalone microgrid. The approach combines capacity sizing and operation scheduling, considering demand-side management strategies for different system design scenarios. The evaluated scenarios involved the combination of wind turbine, photovoltaic system, diesel generator, with either battery energy storage or pumped thermal energy storage. A demand response program based on instantaneous renewable energy availability is proposed with dynamic pricing economic model for improving the overall system flexibility. Mixed-integer linear programming algorithm on MATLAB® is deployed as the optimization solver. The minimization of the sum of system costs which includes equivalent annual costs of the investments, running costs and costs based on demand-side management strategies is the objective function. The combination of photovoltaic, wind turbine and pumped thermal energy storage is found to be the most techno-economically efficient system configuration for the considered microgrid. More so, the proposed demand response strategy minimizes the mismatch between the generation and the load demand profile effectively, thereby increasing the system flexibility.
Mark Kipngetich Kiptoo; Mohammed Elsayed Lotfy; Oludamilare Bode Adewuyi; Abdul Conteh; Abdul Motin Howlader; Tomonobu Senjyu. Integrated approach for optimal techno-economic planning for high renewable energy-based isolated microgrid considering cost of energy storage and demand response strategies. Energy Conversion and Management 2020, 215, 112917 .
AMA StyleMark Kipngetich Kiptoo, Mohammed Elsayed Lotfy, Oludamilare Bode Adewuyi, Abdul Conteh, Abdul Motin Howlader, Tomonobu Senjyu. Integrated approach for optimal techno-economic planning for high renewable energy-based isolated microgrid considering cost of energy storage and demand response strategies. Energy Conversion and Management. 2020; 215 ():112917.
Chicago/Turabian StyleMark Kipngetich Kiptoo; Mohammed Elsayed Lotfy; Oludamilare Bode Adewuyi; Abdul Conteh; Abdul Motin Howlader; Tomonobu Senjyu. 2020. "Integrated approach for optimal techno-economic planning for high renewable energy-based isolated microgrid considering cost of energy storage and demand response strategies." Energy Conversion and Management 215, no. : 112917.
Sustainable energy transition is generally understood as a concept of developing robust, effective and efficient energy sectors in a particular country or region without compromising the present and future socio-environmental security. In view of this, several countries have made remarkable efforts towards achieving this all-important objective in compliance with modern energy needs and supply requirements. Over half of the reported impoverished people globally reside in the sub-Saharan Africa (SSA) region and a sizeable portion of these people (up to 400 million) live in Nigeria, being the most populated country in Africa. The economic growth and social development of any nation depend remarkably on the sufficiency of its energy sector. Thus, the realization of the Sustainable Development Goals (SDGs) comes the year 2030, as projected by the united nations, in Nigeria and the entire SSA region depends heavily on energy. In this study, the importance of an equitable right to sustainable energy adoption in Nigeria and other countries in Africa towards meeting United Nations SDG’s deadline has been succinctly discussed. The reform activities towards improving the energy sector of Nigeria are discussed and appropriate recommendations are made taking clues from other developing countries’ successful energy transition efforts.
Oludamilare Bode Adewuyi; Mark Kipngetich Kiptoo; Ayodeji Fisayo Afolayan; Theophilus Amara; Oluwatobi Idowu Alawode; Tomonobu Senjyu. Challenges and prospects of Nigeria’s sustainable energy transition with lessons from other countries’ experiences. Energy Reports 2020, 6, 993 -1009.
AMA StyleOludamilare Bode Adewuyi, Mark Kipngetich Kiptoo, Ayodeji Fisayo Afolayan, Theophilus Amara, Oluwatobi Idowu Alawode, Tomonobu Senjyu. Challenges and prospects of Nigeria’s sustainable energy transition with lessons from other countries’ experiences. Energy Reports. 2020; 6 ():993-1009.
Chicago/Turabian StyleOludamilare Bode Adewuyi; Mark Kipngetich Kiptoo; Ayodeji Fisayo Afolayan; Theophilus Amara; Oluwatobi Idowu Alawode; Tomonobu Senjyu. 2020. "Challenges and prospects of Nigeria’s sustainable energy transition with lessons from other countries’ experiences." Energy Reports 6, no. : 993-1009.
Electricity disparity in sub-Saharan Africa is a multi-dimensional challenge that has significant implications on the current socio-economic predicament of the region. Strategic implementation of demand response (DR) programs and renewable energy (RE) integration can provide efficient solutions with several benefits such as peak load reduction, grid congestion mitigation, load profile modification, and greenhouse gas emissions reduction. In this research, an incentive and price-based DR programs model using the price elasticity concepts is proposed. Economic analysis of the customer benefit, utility revenue, load factor, and load profile modification are optimally carried out using Freetown (Sierra Leone) peak load demand. The strategic selection index is employed to prioritize relevant DR programs that are techno-economically beneficial for the independent power producers (IPPs) and participating customers. Moreover, optimally designed hybridized grid-connected RE was incorporated using the Genetic Algorithm (GA) to meet the deficit after DR implementation. GA is used to get the optimal solution in terms of the required PV area and the number of BESS to match the net load demand after implementing the DR schemes. The results show credible enhancement in the load profile in terms of peak period reduction as measured using the effective load factor. Moreover, customer benefit and utility revenues are significantly improved using the proposed approach. Furthermore, the inclusion of the hybrid RE supply proves to be an efficient approach to meet the load demand during low peak and valley periods and can also mitigate greenhouse gas emissions.
Abdul Conteh; Mohammed Elsayed Lotfy; Oludamilare Bode Adewuyi; Paras Mandal; Hiroshi Takahashi; Tomonobu Senjyu. Demand Response Economic Assessment with the Integration of Renewable Energy for Developing Electricity Markets. Sustainability 2020, 12, 2653 .
AMA StyleAbdul Conteh, Mohammed Elsayed Lotfy, Oludamilare Bode Adewuyi, Paras Mandal, Hiroshi Takahashi, Tomonobu Senjyu. Demand Response Economic Assessment with the Integration of Renewable Energy for Developing Electricity Markets. Sustainability. 2020; 12 (7):2653.
Chicago/Turabian StyleAbdul Conteh; Mohammed Elsayed Lotfy; Oludamilare Bode Adewuyi; Paras Mandal; Hiroshi Takahashi; Tomonobu Senjyu. 2020. "Demand Response Economic Assessment with the Integration of Renewable Energy for Developing Electricity Markets." Sustainability 12, no. 7: 2653.
Energy storage systems (ESSs) are essential to ensure continuity of energy supply and maintain the reliability of modern power systems. Intermittency and uncertainty of renewable generations due to fluctuating weather conditions as well as uncertain behavior of load demand make ESSs an integral part of power system flexibility management. Typically, the load demand profile can be categorized into peak and off-peak periods, and adding power from renewable generations makes the load-generation dynamics more complicated. Therefore, the thermal generation (TG) units need to be turned on and off more frequently to meet the system load demand. In view of this, several research efforts have been directed towards analyzing the benefits of ESSs in solving optimal unit commitment (UC) problems, minimizing operating costs, and maximizing profits while ensuring supply reliability. In this paper, some recent research works and relevant UC models incorporating ESSs towards solving the abovementioned power system operational issues are reviewed and summarized to give prospective researchers a clear concept and tip-off on finding efficient solutions for future power system flexibility management. Conclusively, an example problem is simulated for the visualization of the formulation of UC problems with ESSs and solutions.
Harun Or Rashid Howlader; Oludamilare Bode Adewuyi; Ying-Yi Hong; Paras Mandal; Ashraf Mohamed Hemeida; Tomonobu Senjyu. Energy Storage System Analysis Review for Optimal Unit Commitment. Energies 2019, 13, 158 .
AMA StyleHarun Or Rashid Howlader, Oludamilare Bode Adewuyi, Ying-Yi Hong, Paras Mandal, Ashraf Mohamed Hemeida, Tomonobu Senjyu. Energy Storage System Analysis Review for Optimal Unit Commitment. Energies. 2019; 13 (1):158.
Chicago/Turabian StyleHarun Or Rashid Howlader; Oludamilare Bode Adewuyi; Ying-Yi Hong; Paras Mandal; Ashraf Mohamed Hemeida; Tomonobu Senjyu. 2019. "Energy Storage System Analysis Review for Optimal Unit Commitment." Energies 13, no. 1: 158.
The performance of a new approach for multiobjective voltage stability constrained‐optimal power flow (VSC‐OPF) formulation is compared with a conventional VSC‐OPF approach for improving the steady‐state power systems security in this paper. The compared OPF problems involve the minimization of the fuel cost and minimization of novel line stability index (NLSI) for case 1 and minimization of fuel cost and maximization of line static stability margin (CBI) for the proposed case 2. Clerc's constricted PSO algorithm modified with the nondominated sorting algorithm is used for obtaining the best solution point for each of the decision variables. Network security constraints and bus voltage limits are considered along with the constraint on permissible line stability margin limit adopting the quadratic penalty model for constraints violations. The approach is tested on a load‐modified IEEE 30‐bus and actual Nigerian 28‐bus systems. From the results obtained, the proposed OPF formulation performed better for simultaneous consideration of voltage stability improvement and line loss reduction.
Oludamilare Bode Adewuyi; Harun Or Rashid Howlader; Isaiah Opeyemi Olaniyi; David Abdul Konneh; Tomonobu Senjyu. Comparative analysis of a new VSC‐optimal power flow formulation for power system security planning. International Transactions on Electrical Energy Systems 2019, 30, 1 .
AMA StyleOludamilare Bode Adewuyi, Harun Or Rashid Howlader, Isaiah Opeyemi Olaniyi, David Abdul Konneh, Tomonobu Senjyu. Comparative analysis of a new VSC‐optimal power flow formulation for power system security planning. International Transactions on Electrical Energy Systems. 2019; 30 (3):1.
Chicago/Turabian StyleOludamilare Bode Adewuyi; Harun Or Rashid Howlader; Isaiah Opeyemi Olaniyi; David Abdul Konneh; Tomonobu Senjyu. 2019. "Comparative analysis of a new VSC‐optimal power flow formulation for power system security planning." International Transactions on Electrical Energy Systems 30, no. 3: 1.
Modern utilities are forced to operate very close to their loadable limits (maximum capacity) due to geographical, economical and some technical reasons. The deregulation of the power industry, the competitive nature of modern electricity markets and the continuous quest for modernization of cities and hamlets all over the world has also led to fast increase in the load demand. The stability of power systems all over the world are threatened with recurrent occurrences of voltage stability issues. Hence, Inter-zonal energy transactions between willing supplier and buyers need to be done with adequate consideration for power system security. In this work, a voltage security-constrained optimal generator active and reactive power rescheduling is carried out using the IEEE 30 and IEEE 57 bus systems. The simultaneous maximization of available transfer capacity (ATC) and voltage stability margin (VSM), using the weighted sum approach, is the objective function. Credible optimal power flow and power system security constraints are considered. Three variants of particle swarm optimization in MATLAB® are used in this work for analyzing the results for objectivity. The technical and economic benefits of the optimal generator rescheduling on the system’s ATC, VSM, line losses, line flow and voltage profile are adequately analyzed.
Oludamilare Bode Adewuyi; Mikaeel Ahmadi; Isaiah Opeyemi Olaniyi; Tomonobu Senjyu; Temitayo Olayemi Olowu; Paras Mandal. Voltage Security-Constrained Optimal Generation Rescheduling for Available Transfer Capacity Enhancement in Deregulated Electricity Markets. Energies 2019, 12, 4371 .
AMA StyleOludamilare Bode Adewuyi, Mikaeel Ahmadi, Isaiah Opeyemi Olaniyi, Tomonobu Senjyu, Temitayo Olayemi Olowu, Paras Mandal. Voltage Security-Constrained Optimal Generation Rescheduling for Available Transfer Capacity Enhancement in Deregulated Electricity Markets. Energies. 2019; 12 (22):4371.
Chicago/Turabian StyleOludamilare Bode Adewuyi; Mikaeel Ahmadi; Isaiah Opeyemi Olaniyi; Tomonobu Senjyu; Temitayo Olayemi Olowu; Paras Mandal. 2019. "Voltage Security-Constrained Optimal Generation Rescheduling for Available Transfer Capacity Enhancement in Deregulated Electricity Markets." Energies 12, no. 22: 4371.
The need for innovative pathways for future zero-emission and sustainable power development has recently accelerated the uptake of variable renewable energy resources (VREs). However, integration of VREs such as photovoltaic and wind generators requires the right approaches to design and operational planning towards coping with the fluctuating outputs. This paper investigates the technical and economic prospects of scheduling flexible demand resources (FDRs) in optimal configuration planning of VRE-based microgrids. The proposed demand-side management (DSM) strategy considers short-term power generation forecast to efficiently schedule the FDRs ahead of time in order to minimize the gap between generation and load demand. The objective is to determine the optimal size of the battery energy storage, photovoltaic and wind systems at minimum total investment costs. Two simulation scenarios, without and with the consideration of DSM, were investigated. The random forest algorithm implemented on scikit-learn python environment is utilized for short-term power prediction, and mixed integer linear programming (MILP) on MATLAB® is used for optimum configuration optimization. From the simulation results obtained here, the application of FDR scheduling resulted in a significant cost saving of investment costs. Moreover, the proposed approach demonstrated the effectiveness of the FDR in minimizing the mismatch between the generation and load demand.
Mark Kipngetich Kiptoo; Oludamilare Bode Adewuyi; Mohammed Elsayed Lotfy; Theophilus Amara; Keifa Vamba Konneh; Tomonobu Senjyu. Assessing the Techno-Economic Benefits of Flexible Demand Resources Scheduling for Renewable Energy–Based Smart Microgrid Planning. Future Internet 2019, 11, 219 .
AMA StyleMark Kipngetich Kiptoo, Oludamilare Bode Adewuyi, Mohammed Elsayed Lotfy, Theophilus Amara, Keifa Vamba Konneh, Tomonobu Senjyu. Assessing the Techno-Economic Benefits of Flexible Demand Resources Scheduling for Renewable Energy–Based Smart Microgrid Planning. Future Internet. 2019; 11 (10):219.
Chicago/Turabian StyleMark Kipngetich Kiptoo; Oludamilare Bode Adewuyi; Mohammed Elsayed Lotfy; Theophilus Amara; Keifa Vamba Konneh; Tomonobu Senjyu. 2019. "Assessing the Techno-Economic Benefits of Flexible Demand Resources Scheduling for Renewable Energy–Based Smart Microgrid Planning." Future Internet 11, no. 10: 219.
Power outage is a prominent feature of the current Nigerian power system. However, a properly planned energy sector can help the nations quest for energy sustainability and economic development. Techno-economic assessment of the Nigerian energy facilities for efficient gas-to-grid power integration is presented in this paper using the particle swarm optimization algorithm (PSO) for solving a voltage stability-constrained optimal power flow model on Matlab environment. Investment in gas-fired DG technology can be an economic and sustainable approach for reducing the detrimental effeccts of gas-flaring practices of the petroleum industries on the environment. The technical benefits such as voltage profile improvement and voltage stability enhancement are the main focus of the technical analysis carried out in this study.
Oludamilare B. Adewuyi; Mark. K. Kiptoo; Ayodeji F. Afolayan; Ayooluwa P. Adeagbo; Tomonobu Senjyu. Gas-to-electricity investment planning for power system stability improvement and environmental sustainability in Nigeria. E3S Web of Conferences 2019, 120, 02005 .
AMA StyleOludamilare B. Adewuyi, Mark. K. Kiptoo, Ayodeji F. Afolayan, Ayooluwa P. Adeagbo, Tomonobu Senjyu. Gas-to-electricity investment planning for power system stability improvement and environmental sustainability in Nigeria. E3S Web of Conferences. 2019; 120 ():02005.
Chicago/Turabian StyleOludamilare B. Adewuyi; Mark. K. Kiptoo; Ayodeji F. Afolayan; Ayooluwa P. Adeagbo; Tomonobu Senjyu. 2019. "Gas-to-electricity investment planning for power system stability improvement and environmental sustainability in Nigeria." E3S Web of Conferences 120, no. : 02005.
The need for energy and environmental sustainability has spurred investments in renewable energy technologies worldwide. However, the flexibility needs of the power system have increased due to the intermittent nature of the energy sources. This paper investigates the prospects of interlinking short-term flexibility value into long-term capacity planning towards achieving a microgrid with a high renewable energy fraction. Demand Response Programs (DRP) based on critical peak and time-ahead dynamic pricing are compared for effective demand-side flexibility management. The system components include PV, wind, and energy storages (ESS), and several optimal component-sizing scenarios are evaluated and compared using two different ESSs without and with the inclusion of DRP. To achieve this, a multi-objective problem which involves the simultaneous minimization of the loss of power supply probability (LPSP) index and total life-cycle costs is solved under each scenario to investigate the most cost-effective microgrid planning approach. The time-ahead resource forecast for DRP was implemented using the scikit-learn package in Python, and the optimization problems are solved using the Multi-Objective Particle Swarm Optimization (MOPSO) algorithm in MATLAB®. From the results, the inclusion of forecast-based DRP and PHES resulted in significant investment cost savings due to reduced system component sizing.
Mark Kipngetich Kiptoo; Oludamilare Bode Adewuyi; Mohammed Elsayed Lotfy; Tomonobu Senjyu; Paras Mandal; Mamdouh Abdel-Akher. Multi-Objective Optimal Capacity Planning for 100% Renewable Energy-Based Microgrid Incorporating Cost of Demand-Side Flexibility Management. Applied Sciences 2019, 9, 3855 .
AMA StyleMark Kipngetich Kiptoo, Oludamilare Bode Adewuyi, Mohammed Elsayed Lotfy, Tomonobu Senjyu, Paras Mandal, Mamdouh Abdel-Akher. Multi-Objective Optimal Capacity Planning for 100% Renewable Energy-Based Microgrid Incorporating Cost of Demand-Side Flexibility Management. Applied Sciences. 2019; 9 (18):3855.
Chicago/Turabian StyleMark Kipngetich Kiptoo; Oludamilare Bode Adewuyi; Mohammed Elsayed Lotfy; Tomonobu Senjyu; Paras Mandal; Mamdouh Abdel-Akher. 2019. "Multi-Objective Optimal Capacity Planning for 100% Renewable Energy-Based Microgrid Incorporating Cost of Demand-Side Flexibility Management." Applied Sciences 9, no. 18: 3855.
Voltage stability analysis and improvement remain a major concern of power system operators due to the recurrent risk of voltage collapse. Many approaches have been used to analyze voltage stability but an approach that can directly indicate the closeness of power system to voltage collapse can be used to optimally plan for the improvement of the power system voltage stability condition when compensation devices are to be deployed. In this study, optimal active and reactive power compensation was performed on a continuously loaded power system, using the battery energy storage system (BESS). In order to achieve this, a voltage stability evaluation model which contains information concerning the active and reactive power flow along the transmission line was adopted. The BESS is considered as a combination of storage units and voltage source converter (VSC) in order to facilitate independent control of both the active and reactive injection to the grid. The optimal control of the output of the BESS minimizes its installed capacity and consequently, reduced the cost as shown by simulation on the IEEE 14 bus system.
Oludamilare Bode Adewuyi; Ryuto Shigenobu; Kazuki Ooya; Tomonobu Senjyu; Abdul Motin Howlader. Static voltage stability improvement with battery energy storage considering optimal control of active and reactive power injection. Electric Power Systems Research 2019, 172, 303 -312.
AMA StyleOludamilare Bode Adewuyi, Ryuto Shigenobu, Kazuki Ooya, Tomonobu Senjyu, Abdul Motin Howlader. Static voltage stability improvement with battery energy storage considering optimal control of active and reactive power injection. Electric Power Systems Research. 2019; 172 ():303-312.
Chicago/Turabian StyleOludamilare Bode Adewuyi; Ryuto Shigenobu; Kazuki Ooya; Tomonobu Senjyu; Abdul Motin Howlader. 2019. "Static voltage stability improvement with battery energy storage considering optimal control of active and reactive power injection." Electric Power Systems Research 172, no. : 303-312.
The quest for economic growth has led to increase in world's energy consumption and to meet this continuously widening energy gap, high penetration of variable energy resources (VER) into the energy mix of countries all over the world is being encouraged. However, there is a limitation on the capacity of existing transmission facilities and the power system is more susceptible to voltage instability issues and the number of outages caused by voltage collapse has increased greatly. In this paper, a capacity factor based approach for optimal penetration of utility-scale PV solar power into the Nigerian power system considering voltage stability is discussed and compared with the line loss minimization approach. Multi-objective particle swarm optimization algorithm on MATLAB® is used to compute sufficient capacity of solar PV that the power system can accommodate while maintaining the stability of the system. An additional constraint based on voltage stability margin is included to keep the system within the stability margin. The proposed approach with the added constraint is found to perform better for both line loss reduction and voltage stability improvement than the line loss minimization approach. Two optimization algorithms are used to verify the accuracy of the approach for techno-economic planning.
Oludamilare Bode Adewuyi; Ryuto Shigenobu; Tomonobu Senjyu; Mohammed E. Lotfy; Abdul Motin Howlader. Multiobjective mix generation planning considering utility-scale solar PV system and voltage stability: Nigerian case study. Electric Power Systems Research 2018, 168, 269 -282.
AMA StyleOludamilare Bode Adewuyi, Ryuto Shigenobu, Tomonobu Senjyu, Mohammed E. Lotfy, Abdul Motin Howlader. Multiobjective mix generation planning considering utility-scale solar PV system and voltage stability: Nigerian case study. Electric Power Systems Research. 2018; 168 ():269-282.
Chicago/Turabian StyleOludamilare Bode Adewuyi; Ryuto Shigenobu; Tomonobu Senjyu; Mohammed E. Lotfy; Abdul Motin Howlader. 2018. "Multiobjective mix generation planning considering utility-scale solar PV system and voltage stability: Nigerian case study." Electric Power Systems Research 168, no. : 269-282.