Contents & References of Virtual power plant pricing strategy in storage and energy markets considering the uncertainty in the market price
List:
Title
Chapter One: Introduction. 1
1-1 introduction .. 2
1-2 electricity market .. 2
1-3 concept of virtual power plant (VPP). 2
1-4 overview of the contents of the chapters. 3
Chapter Two: Introduction of the virtual power plant and an overview of the research done. 6
2-1 Introduction .. 7
2-2 Concept of Virtual Power Plant (VPP). 7
2-2-1 Scattered production. 8
2-2-2 Advantages of using DG. 8
2-2-3 classification of DG types. 9
2-2-4 types of VPP. 11
2-2-5 VPP components. 12
2-2-6 VPP control strategy. 13
2-3 virtual power plants in the electricity market. 14
2-3-1 New market transaction at distribution level. 14
2-4 VPP participation in the electricity market. 15
2-5 optimal VPP pricing strategy in the wholesale market. 16
2-5-1 economic model for offering production in the electricity market using the Nash-SFE equilibrium strategy. 17
2-5-2- Economic model for offering proposals in the electricity market based on the non-equilibrium model. 18
2-5-3 SCPBUC strategies for VPP. 19
2-6 The pricing strategy of the price receiving power plant under price uncertainty. 19
2-7 Summary. 20
Chapter three: Modeling the optimal strategy problem of virtual power plant participation in the electricity market and introducing the solution method. 21
3-1 Introduction .. 22
3-2 Knowing the dimensions of the problem. 22
3-3 objective function and constraints in the problem (considering CHP units). 29
3-3-1 objective function of the problem of economic distribution of simultaneous production of electricity and heat. 30
3-4 Modeling uncertainty in demand and price and introducing problem solving algorithm. 32
3-5 genetic algorithm operators. 34
3-6 Summary. 36
Chapter four: simulation and analysis of results. 37
4-1 Introduction... 38
4-2 Introduction of the first network (virtual power station 1). 38
4-3 Simulation and analysis of results for virtual power plant 1 in the energy market. 39
4-3-1 Base state (in the absence of uncertainties). 39
4-3-2 The first scenario. 42
4-3-3 second to fifth scenarios (in the presence of price uncertainty). 42
4-3-4 scenarios six to nine (in the presence of price and demand uncertainty). 46
4-3-5 simulation results of the ratio of standard deviation to the mean of Monte Carlo stopping. 49
4-4 simulation and analysis of results for virtual power plant 1 in the reserve market. 50
4-4-1 First scenario (in the absence of uncertainties). 50
4-4-2 scenarios two to five (in the presence of uncertainty in energy prices). 51
4-4-3 scenarios six to nine (in the presence of uncertainty in energy prices and load forecasting). 53
4-4-4 simulation results of the ratio of standard deviation to the mean of Monte Carlo stopping. 53
4-5 second case study (virtual power plant 2). 54
4-6 Simulation and analysis of results for virtual power plant 2 considering the energy market. 55
4-6-1 Base state (in the absence of uncertainties). 55
4-6-2 scenarios two to five (in the presence of uncertainty in energy prices). 57
4-6-3 Sixth to ninth scenarios in the presence of uncertainty in price and demand. 58
4-6-4 Simulation results of the ratio of standard deviation to the mean of Monte Carlo stopping. 59
4-7 Simulation and analysis of the results of the new network in the reservation market. 60
4-7-1 Base state (without considering uncertainty). 60
4-7-2 second to fifth scenarios (in the presence of energy price uncertainty). 61
4-7-3 scenarios six to nine (in the presence of uncertainty in energy prices and load forecasting). 62
4-7-4 simulation results of the ratio of standard deviation to the mean of Monte Carlo stopping. 63
4-8 Summary. 63
Chapter five: Conclusion and suggestions. 64
Conclusion.. 65
Suggestions.. 66
Appendix. 67
Appendix 1) The list of figures related to network simulation in the fourth chapter. 68
Appendix 2) Sources and References
Source:
]1 [Hossein Nizamabadi, Prasto Nizamabadi, Mehrdad Setaish Nazar and Georg Gharepetian "Optimal Pricing of Virtual Power Plants Using Nash Equilibrium-SFE Strategy" PSC Conference 2011, Tehran,. 68
Appendix 2) Sources and References
Source:
]1 [Hossein Nizamabadi, Prasto Nizamabadi, Mehrdad Setaish Nazar and Georg Gharepetian "Optimal pricing of virtual power plants using Nash-SFE equilibrium strategy" PSC 2011 conference, Tehran, Iran.
]2 [Krshan and Strabek, "Basics of Power System Economics, Translators: Experts of the Secretariat of the Electricity Market Regulation Board of Iran - Ministry of Energy, Publication of the Secretariat of the Electricity Market Regulation Board. Iran, summer 2016.
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