{"title":"Simultaneous Allocation of Multiple Distributed Generators and Shunt Capacitor Banks in Radial Distribution Systems using Grasshopper Optimization Algorithm","authors":"S. Sudabattula, M. Kowsalya, V. Suresh","doi":"10.1504/ijetp.2020.10027030","DOIUrl":"https://doi.org/10.1504/ijetp.2020.10027030","url":null,"abstract":"Electricity has become a part of day to day life of the people. With the increase in population, electricity demand is also raised. The development of distribution systems (DSs), the optimal utilisation of shunt capacitor banks (SCBs) and distributed generators (DGs) in the DSs are heightened. In this paper, a methodology is proposed to allocate both DGs and SCBs simultaneously on the DS. The objectives are to minimise power loss, improving the voltage profile and voltage stability index (VSI) of the DS. First locations of DGs and SCBs are found out by loss sensitivity factor (LSF) technique. Next grasshopper optimisation algorithm (GOA) is used to determine the rating of these sources. The methodology is implemented on IEEE 33 and 69 bus test systems considering optimal allocation of multiple DGs without and with placement of capacitors. Finally, the results obtained by the proposed method are compared with GA/PSO and PSO methods.","PeriodicalId":35754,"journal":{"name":"International Journal of Energy Technology and Policy","volume":"16 1","pages":"563"},"PeriodicalIF":0.0,"publicationDate":"2020-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47541478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Present status, energy policies and future perspective of solar photovoltaic in India","authors":"N. Patel, N. Gupta, A. Verma","doi":"10.1504/ijetp.2020.10029107","DOIUrl":"https://doi.org/10.1504/ijetp.2020.10029107","url":null,"abstract":"This paper aims at presenting state of art solar photovoltaic (SPV) in India and various initiatives and actions plans launched by Indian Government to augment the share of most promising and growing source of renewable energy SPV. A renewable and sustainable source of energy such as solar PV has been playing a vital role in curbing carbon emission. This paper presents a widespread review of the present status, various energy policies and future perspective of SPV considering the fact that India is having an abundant amount of solar energy potential. The intention of this review is to emphasise broadly on the major constraints hampering the growth of SPV energy in India. Efforts have been made to presents the selections guide, applicable standards and state-wise sanctioned solar parks. It is hoped that the information reported in this paper will be a worth of one-stop source of information for researchers.","PeriodicalId":35754,"journal":{"name":"International Journal of Energy Technology and Policy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42729657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A system dynamics modelling for energy planning and carbon dioxide estimation of the Nigerian power sector","authors":"Babajide Epe Shari, Y. Moumouni","doi":"10.1504/ijetp.2020.10029137","DOIUrl":"https://doi.org/10.1504/ijetp.2020.10029137","url":null,"abstract":"Energy is essential to supporting the modern life-style; it is the main driver to economic development and carbon dioxide (CO2) emissions. Due to associated complexities and uncertainties, decision makers and energy planners face increasing pressure to effectively address energy related challenges, including approaches to low carbon energy provision. This study seeks to develop a long-term, 2010-2050, system dynamics (SD) model of the Nigerian power sector (NPS). The model then helps to investigate ways to bridge the electricity supply and demand gaps by simulating various performance scenarios based on real socio-economic variables and estimation of CO2. A total of six policy scenarios were implemented. These scenarios sought to evaluate the influence of the following four parameters: 1) transmission losses (Tx); 2) time to adjust capacity (TAC); 3) population growth rate (PGR); 4) capacities under construction. Accordingly, results not only showed that the completion of the existing project and the Mambilla multipurpose hydropower (MMHP) would make the NPS 71% energy secured, but also revealed a paradigm shift in CO2 reduction in the planning process considered by the study in contrast to the existing generations. Finally, capability of SD was affirmed by properly capturing feedbacks, delays, and other complexities in the NPS.","PeriodicalId":35754,"journal":{"name":"International Journal of Energy Technology and Policy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47492226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Impact of wind power-based DG on nodal prices in distribution system with harmonic load","authors":"Anil Kumar, Naresh Kumar","doi":"10.1504/ijetp.2020.10029140","DOIUrl":"https://doi.org/10.1504/ijetp.2020.10029140","url":null,"abstract":"The competitive electricity market structure is one of the factors to adopt the real time pricing structure for efficient operation of distribution networks. It is the key responsibility of the distribution network operator to determine the real time prices-based tariff structure for smart distribution systems. The prices must take into account the effect of load and must be based on the change in the operating state of the system. In this paper, by using wind power in distribution system and basic forward backward sweep load flow method is used for analysing the affect of harmonics on nodal prices. The method uses marginal loss coefficients (MLCs) to get these prices, the results are compared with realistic ZIP and normal or constant power (CP) loads. The entire study is conducted on IEEE 33 bus radial distribution system (RDS).","PeriodicalId":35754,"journal":{"name":"International Journal of Energy Technology and Policy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47972972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Z. Sazvar, Hamed Shakouri Ganjavi, Vahid Hajiebrahimi Farashah, S. Hosseini
{"title":"An investigation on the petrochemical industry development in Iran: a system dynamics approach","authors":"Z. Sazvar, Hamed Shakouri Ganjavi, Vahid Hajiebrahimi Farashah, S. Hosseini","doi":"10.1504/ijetp.2020.10029138","DOIUrl":"https://doi.org/10.1504/ijetp.2020.10029138","url":null,"abstract":"Petrochemical industry plays a significant role to achieve high value-added from oil and gas reserves, especially for countries with huge resources of fossil fuels. This study aims to investigate and model the development dynamics of the petrochemical industry in Iran using system dynamics (SD) methodology. Consequently, after describing the interrelationships among the main variables making the dynamics of domestic investment, a quantified model is built to simulate possible outcomes under different scenarios. According to the results, in 2025, the capacity of Iran's petrochemical productions will range from 73 to 78 million tons. Also, the value of products will range from 26 to 36 million dollars (USD) in 2025 that can be an interesting research area to investigate how the value of diversified petrochemical products can be increased. Finally, through a model-based scenario and policy analysis, some optimised policies are offered to enhance the petrochemical industry of Iran in the future.","PeriodicalId":35754,"journal":{"name":"International Journal of Energy Technology and Policy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44635635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A thermodynamic performance analysis of the agricultural sector of India","authors":"A. Sinha, L. Mishra","doi":"10.1504/ijetp.2020.10028227","DOIUrl":"https://doi.org/10.1504/ijetp.2020.10028227","url":null,"abstract":"Thermodynamic analysis of Indian agricultural sector for a period of 14 years between 2001-2002 and 2014-2015 has been carried out in order to find the thermal efficiency and irreversible losses with the application of the principles of energy and exergy analysis. The devices such as tractors, power tillers using diesel and irrigation pump-sets using electricity, which consumes major portion of the energy inputs are assumed to be the representative of Indian agricultural sector. It is found that during the study period the overall exergy efficiencies (66.05% to 68.46%) are slightly less than corresponding energy efficiencies (66.09% to 68.47%). The energy and exergy flow diagrams and further improvement potential of this important sector are also presented. The results of this study can be used as guidelines for research and development such as analysing sectoral energy and exergy utilisation, providing measures for energy conservation and policy development.","PeriodicalId":35754,"journal":{"name":"International Journal of Energy Technology and Policy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44177289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"ESCO business model for energy conservation in Sri Lanka","authors":"U. Ranasinghe, Y. Sandanayake","doi":"10.1504/ijetp.2020.10028231","DOIUrl":"https://doi.org/10.1504/ijetp.2020.10028231","url":null,"abstract":"Energy service company (ESCO) is a renowned concept in the developed world for energy conservation projects, although there is lack of suitable ESCO business model for guaranteed return and safeguard energy performance risks in energy conservation projects in Sri Lanka. This study therefore aims to investigate the gap between the existing energy service practices in Sri Lanka and ESCO concept, and to develop an ESCO business model accordingly, a comprehensive literature review and in-depth interviews with 12 subject matter experts were carried out to achieve the aim. Research findings identified ten sub-elements under four main elements, i.e., value proposition, customers, value creation and delivery and value capture, in the proposed ESCO business model. Key findings further revealed 'guaranteed saving' as the best finance model for Sri Lankan built environments. The research finally developed an ESCO business model incorporating appropriate energy service practices which will lead both ESCOs and the clients in Sri Lanka to gain the competitive edge.","PeriodicalId":35754,"journal":{"name":"International Journal of Energy Technology and Policy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48808375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Impact of risk on the levelised cost of energy: The case of solar tariffs in India","authors":"S. Umamaheswaran, Rajiv Seth","doi":"10.1504/ijetp.2020.10025087","DOIUrl":"https://doi.org/10.1504/ijetp.2020.10025087","url":null,"abstract":"Setting optimal tariffs that adequately compensate the investment and project risks is crucial to sustain the participation of private sector in India's ambitious solar programme. However, driven by fiscal priorities, state programs are increasingly resorting to aggressive tariff reduction to minimise compliance costs. This article first highlights the trends in solar tariffs and estimates the underlying levelised cost of energy (LCOE). We further delve into the broader institutional context and sectoral issues that motivate these trends. Finally, we evaluate the implications of low tariffs from the perspective of risk using quantitative simulations. Our results suggest that the levelised costs vary widely when evaluated against different risk scenarios. Based on these results we propose recommendations for policy makers in the context of determining tariffs that balance the interests of different stakeholders.","PeriodicalId":35754,"journal":{"name":"International Journal of Energy Technology and Policy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44954114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A particle swarm optimised support vector regression for short-term load forecasting","authors":"Su Wutyi Hnin, C. Jeenanunta","doi":"10.1504/ijetp.2020.10028233","DOIUrl":"https://doi.org/10.1504/ijetp.2020.10028233","url":null,"abstract":"The aim of this paper is to present a forecasting model for daily electricity demand. Support vector regression (SVR) has the ability that can perform well in nonlinear forecasting problems. In this paper, the parameter optimisation for SVR is proposed by using particle swarm optimisation (PSO). The data for testing the proposed method is obtained from the Electricity Generating Authority of Thailand (EGAT). The data have been recorded in every 30 minutes. The data from 2012 to 2013 is used for training to forecast daily electricity load demand in 2013. The performance of the model is measured by the mean absolute percentage error (MAPE). The results of SVR and SVR-PSO are compared. Optimising hyperparameters with PSO outperforms the SVR.","PeriodicalId":35754,"journal":{"name":"International Journal of Energy Technology and Policy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43254830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Decision making for electricity retailers in fractile model from multiple markets with rational responses of consumers","authors":"Shinya Sekizaki, I. Nishizaki, Tomohiro Hayashida","doi":"10.1504/ijetp.2020.10028234","DOIUrl":"https://doi.org/10.1504/ijetp.2020.10028234","url":null,"abstract":"This paper presents a new decision-making model that enables a retailer to optimise a portfolio reflecting his or her risk attitude in the non-convex decision-making problem. In the proposed model, the responses of consumers to selling prices offered by the retailer are integrated with three types of electricity transactions. In our model, we deal with the three types of electricity transactions, i.e., forward contracts, day-ahead market transactions, and real-time market transactions, and consumers optimise the electricity consumption schedules in response to the time-of-use (TOU) selling prices offered by the retailer. In this paper, in order to examine behavior of the retailers with various risk attitudes effectively, we employ the fractile model that can find the preferred solution in the proposed non-convex decision-making model. Through the computational experiments, we demonstrate the validity of the proposed model for examining the retailer's actions in the deregulated electricity market.","PeriodicalId":35754,"journal":{"name":"International Journal of Energy Technology and Policy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47239045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}