Projects:2019s2-25501 Allocation of Storage Resources - Revision history

A1684526: /* Conclusion */

2020-06-09T02:28:57Z

‎Conclusion

A1684526: /* References */

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‎References

A1684526: /* References */

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‎References

A1684526: /* References */

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‎References

A1757603: /* Supervisors */

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‎Supervisors

A1757603: /* Results */

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‎Results

A1757603: /* Transmision Interconnectors */

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‎Transmision Interconnectors

A1757603: /* Method */

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‎Method

A1715307: /* Conclusion */

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‎Conclusion

A1715307: /* Demand in SA */

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‎Demand in SA

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 For the next future work, there is a need for designation in the analytical tool of software that can optimize the allocation of the storage resources and the amount of energy needed for the storage resources.
 == References ==
 [1] a, b, c, "Simple page", In Proceedings of the Conference of Simpleness, 2010.

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 For the next future work, there is a need for designation in the analytical tool of software that can optimize the allocation of the storage resources and the amount of energy needed for the storage resources.
 == References ==
 [1] a, b, c, "Simple page", In Proceedings of the Conference of Simpleness, 2010.

← Older revision		Revision as of 02:24, 9 June 2020
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	[7] An Atlas of Pumped Hydro Energy Storage, Australia National University,2017		[7] An Atlas of Pumped Hydro Energy Storage, Australia National University,2017
−	~~[[File:///C:/Users/Administrator/Desktop/solar.jpg\|thumb]]~~

← Older revision		Revision as of 02:24, 9 June 2020
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	[7] An Atlas of Pumped Hydro Energy Storage, Australia National University,2017		[7] An Atlas of Pumped Hydro Energy Storage, Australia National University,2017
		+	[[File:///C:/Users/Administrator/Desktop/solar.jpg\|thumb]]

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 ==== Supervisors ====
 * David Vowles
-* A/Prof Soong Wen Liang
+* Dr. Ali Pourmousavi Kani
 ==== Advisors ====
+*

← Older revision		Revision as of 01:30, 9 June 2020
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	== Results ==		== Results ==
		+	The optimization problem is to minimize the total system cost which is subjected to the balancing of relation between power supply and power demand at all times which is within the network and security constraints. The allocations of storage factor have been briefly explained on sections 4.7.1 and 4.7.2 where this allocation contributed towards the minimization of network cost and enable the power balancing between both supply and demand. The idea is to minimize the total cost as equation (8) below:
		+	min⁡∑_(t=1)^T▒∑_(i=1)^I▒〖C_i ((P_(GT,t) ) ̃ )+ 〗 ∑_(t=1)^T▒∑_(i=1)^nt▒〖C_j (F_t ) 〗
		+	The equation above illustrates the summarization of the whole factor of power sources. Equation above which is the total cost of the system is being subject to the satisfy network equations of the power flow such as :
		+	Real Power Õ=fp(P_GT,P_L ,E_ST,V_σ,V_σ ̃ ,Ɵ)
		+	Reactive Power Õ=fq(Q_GT,Q_L,V_σ,V_σ ̃ ,Ɵ)
		+
		+	This power flow network equation comprises the interconnection of the transmission line and transformers and they are connected to the sources of the supply demand. By having this power flow equations, the voltages on the network will be satisfy and solve. The power flow equation depends highly on the network constrainsts of the power systems variable.

	== Conclusion ==		== Conclusion ==

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 In the year of 2017-18, it is the highest export over the past 10 years with 1.3 gigawatt hours (GWh). Rather than export a huge amount of power, it is recommended that the huge amount of power is used to store in the energy resources in SA. Although it is one of the ways to make money by exporting the power into the interconnectors, it is also beneficial that the power can be stored to support the reliability of intermittent sources in SA.
-== Power flow equation are being done as to express the electric power flow in the interconnected system as been mention. The aspects of power flow equation focus on simplified notations and focus on several aspects of AC power parameters, which includes voltages, voltages angles, reactive power and real power. The voltages regarding some of the nodes are being regulated by generators, storage and controlled loads which are denoted by V_σ, vector of control voltages. Voltages of the remaining nodes are uncontrolled (V_σ ̃ ) and can be solved by the load flow. This power flow equation is being done as to determine the best operating of an existing system. The main information regarding this power flow equation are both the phase angle and magnitude at each bus and both the real and reactive power flows on each line. The power flow equation is as table 21 below:
+=== Method ===
 Real Power	Õ=fp(P_GT,P_L  ,E_ST,V_σ,V_σ ̃ ,Ɵ)
 Reactive Power	Õ=fq(Q_GT,Q_L,V_σ,V_σ ̃ ,Ɵ)
 == Results ==

← Older revision		Revision as of 14:15, 7 June 2020
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	== Conclusion ==		== Conclusion ==
		+	For the conclusion, the traditional linear energy system where it starts with the generation, transmission, distribution, retailer and consumers meanwhile in the future, it is predicted that the energy system becomes more modern and flexible which there are additional parameters such as energy storage, rooftop solar, battery storage in the houses and others. With the new modern flexible energy system, the solar farms can be built in order to increase the production of energy from renewable energy generations. With both solar and wind generations, it is estimated by AEMO who did an hourly energy balance analysis in 100% renewable energy scenario in Australia which its excellent renewable resources.
		+
		+	For the next future work, there is a need for designation in the analytical tool of software that can optimize the allocation of the storage resources and the amount of energy needed for the storage resources.

	== References ==		== References ==

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 b.	High summer demand
 This condition is modelling the high demand on a hot summer’s day, with a high level of wind and a moderate level of solar generation.
 c.	High summer noon demand
 This condition has a high level of wind generation and a very high level of solar generation that occurs at noon on a hot summer day.
 d.	High winter demand
 This condition represents a high demand on a windy winter day where the output for wind generators is the highest while there is no output for the solar generators.
 e.	Medium demand (sunny and still)
 This is when it is a sunny and still day with high level of solar generation and a quite low level of wind generation.
 f.	Medium demand (windy and overcast)
 This condition represents a day of windy and overcast where the wind generators produce a high level of power while a low level of solar generation. Under this system condition, the new generation will be limited due to a maximum of about 150 MW due to existing limits on export capability.
 g.	Low overnight demand
 This is when there is no solar generation but has a high level of wind generation. The interconnector has the highest amount of export power due to the existing limits on the export capability.
 h.	Very low daytime demand
 This condition is considered to be very low demand which is only 660MW where it usually occurs during mild, sunny weekend or public holiday.
 i.	Very high demand
 This condition in SA representing as “Condition a” as it is assumed that generators within regional networks could be out of service. Plus, its output from solar generators is low and output from the wind generator is quite low.