Pakistan energy demand has grown exponentially over the last 2 decades. Reason behind increasing energy demand is excessive mobility of rural population to cities, rapid progression in industrial and transport sector, lack of policy making and implementation on the developed policies and improvements in living style. At present, Pakistan witness 5000-7000 MW power deficit in summer. To reduce the demand and supply gap, power plants across Pakistan are planned to be installed while some are under development phase. Power expansion plans cannot cope with the current energy shortfall since several years are required for them to get fully operational. Effective energy policy is the only key to address the existing shortfall. This paper discusses the initiatives that may be taken to reduce the power shortfall using energy efficiency and conservation, deployment of microgrids, utilization of renewable energy resources and effective research and development in energy sector. Since another most important issue evaluated in the research regarding the energy crises is energy efficiency and lack of compliance to government regulations for energy efficiency and conservation. Implementation on the policies developed for energy efficiencies and conservation has not been witnessed. Possible solutions on short term basis to lessen the energy crises have also been discussed in the paper.
Effective monitoring and control of isolated rural microgrid in the
developing world is challenging. The modern communication and monitoring is
difficult to handle in such communities due to a complicated approach to the
area, lack of modern facilities and unavailability of skilled manpower.
Implementation of a microgrid in such areas using intermittent renewable
sources and limited storage is challenging. Uncontrolled load consumption
leads to the system-wide outages due to prolonged storage utilization in
peak hours and is referred here as battery storage stress hours (BSSH). This
research is focused to study and analyze the behavior of parametric load
monitoring and control algorithm that could control the distinctive load of
the microgrid during BSSH. In the proposed algorithm, the residential loads
are distinctively controlled while utilizing the three locally available
parameters that are the state of the charge of storage, solar irradiations
and ambient temperature. In other words, the natural parameter variations
have been uniquely utilized as a monitoring tool for load control. The fuzzy
controller takes a decision for the activation or deactivation of any load
based on the three parameters variation ranges. It is observed from the
simulation and experimental results that while only utilizing locally
available parameters the effective load control is possible.
Water canal networks that are widely used for irrigation are an equally good source of micropower generation to be fed to the nearby areas. A practical example of such a system is the micro-hydro generation at Renala Khurd Pakistan integrated with the national grid known as hydro–grid configuration. Apart from the rare Renala Khurd hydro generation example, solar photovoltaic generation integrated with a mainstream network, i.e., solar PV-Grid configuration, is widely used. The integrated operation of combinations of primary distributed generation sources has different operational attributes in terms of economics and reliability that are needed to be quantified before installation. So far, various combinations of primary distributed generation sources have been simulated and their accumulative impact on project economics and reliability have been reported. A detailed economic and reliability assessment of various configurations is needed for sustainable and cost-effective configuration selection. This study proposes a trigeneration combination of solar–hydro–grid with an optimal sizing scheme to reduce the solar system sizing and grid operational cost. A genetic algorithm based optimal sizing formulation is developed using fixed hydro and variable solar and grid systems with a number of pre-defined constraints. The hydro–grid, solar–grid, and grid–hydro–solar configurations are simulated in HOMER Pro software to analyze the economic impact, and to undertake reliability assessments under various configurations of the project. Finally, optimal values of the genetic algorithm are provided to the HOMER Pro software search space for simulating the grid–hydro–solar configuration. It was revealed that the net present cost (NPC) of hydro-to-grid configuration was 23% lower than the grid–hydro–solar configuration, whereas the NPC of grid–hydro–solar without optimal sizing was 40% lower than the solar–grid configuration, and the NPC of grid–solar–hydro with the genetic algorithm was 36% lower than the hydro–grid configuration, 50.90% lower than solar–grid–hydro without the genetic algorithm, and 17.1% lower than the grid–solar configuration, thus proving utilization of trigeneration sources integration to be a feasible solution for areas where canal hydropower is available.
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